id sid tid token lemma pos ajst-19342 1 1 academic academic ADJ ajst-19342 1 2 journal journal NOUN ajst-19342 1 3 of of ADP ajst-19342 1 4 science science NOUN ajst-19342 1 5 and and CCONJ ajst-19342 1 6 technology technology NOUN ajst-19342 1 7 issn issn NOUN ajst-19342 1 8 : : PUNCT ajst-19342 1 9 2771 2771 NUM ajst-19342 1 10 - - SYM ajst-19342 1 11 3032 3032 NUM ajst-19342 1 12 | | NOUN ajst-19342 1 13 vol vol NOUN ajst-19342 1 14 . . PROPN ajst-19342 2 1 10 10 NUM ajst-19342 2 2 , , PUNCT ajst-19342 2 3 no no INTJ ajst-19342 2 4 . . NOUN ajst-19342 2 5 1 1 NUM ajst-19342 2 6 , , PUNCT ajst-19342 2 7 2024 2024 NUM ajst-19342 2 8 445 445 NUM ajst-19342 2 9 a a DET ajst-19342 2 10 method method NOUN ajst-19342 2 11 for for ADP ajst-19342 2 12 privacyโ€safe privacyโ€safe ADJ ajst-19342 2 13 synthetic synthetic ADJ ajst-19342 2 14 health health NOUN ajst-19342 2 15 data datum NOUN ajst-19342 2 16 xiaohui xiaohui PROPN ajst-19342 2 17 luo luo PROPN ajst-19342 2 18 school school PROPN ajst-19342 2 19 of of ADP ajst-19342 2 20 software software NOUN ajst-19342 2 21 engineering engineering PROPN ajst-19342 2 22 , , PUNCT ajst-19342 2 23 chengdu chengdu PROPN ajst-19342 2 24 university university PROPN ajst-19342 2 25 of of ADP ajst-19342 2 26 information information NOUN ajst-19342 2 27 technology technology PROPN ajst-19342 2 28 , , PUNCT ajst-19342 2 29 chengdu chengdu PROPN ajst-19342 2 30 610225 610225 NUM ajst-19342 2 31 , , PUNCT ajst-19342 2 32 china china PROPN ajst-19342 2 33 abstract abstract NOUN ajst-19342 2 34 : : PUNCT ajst-19342 2 35 private private ADJ ajst-19342 2 36 health health NOUN ajst-19342 2 37 records record NOUN ajst-19342 2 38 are be AUX ajst-19342 2 39 important important ADJ ajst-19342 2 40 for for ADP ajst-19342 2 41 medical medical ADJ ajst-19342 2 42 research research NOUN ajst-19342 2 43 but but CCONJ ajst-19342 2 44 hard hard ADJ ajst-19342 2 45 to to PART ajst-19342 2 46 get get VERB ajst-19342 2 47 because because SCONJ ajst-19342 2 48 of of ADP ajst-19342 2 49 legal legal ADJ ajst-19342 2 50 rules rule NOUN ajst-19342 2 51 . . PUNCT ajst-19342 3 1 this this DET ajst-19342 3 2 shortage shortage NOUN ajst-19342 3 3 of of ADP ajst-19342 3 4 data datum NOUN ajst-19342 3 5 can can AUX ajst-19342 3 6 be be AUX ajst-19342 3 7 solved solve VERB ajst-19342 3 8 by by ADP ajst-19342 3 9 using use VERB ajst-19342 3 10 generative generative ADJ ajst-19342 3 11 models model NOUN ajst-19342 3 12 like like ADP ajst-19342 3 13 gans gan NOUN ajst-19342 3 14 , , PUNCT ajst-19342 3 15 which which PRON ajst-19342 3 16 make make VERB ajst-19342 3 17 new new ADJ ajst-19342 3 18 , , PUNCT ajst-19342 3 19 similar similar ADJ ajst-19342 3 20 data datum NOUN ajst-19342 3 21 . . PUNCT ajst-19342 4 1 but but CCONJ ajst-19342 4 2 gans gan NOUN ajst-19342 4 3 might might AUX ajst-19342 4 4 leak leak VERB ajst-19342 4 5 private private ADJ ajst-19342 4 6 information information NOUN ajst-19342 4 7 . . PUNCT ajst-19342 5 1 to to PART ajst-19342 5 2 fix fix VERB ajst-19342 5 3 this this PRON ajst-19342 5 4 , , PUNCT ajst-19342 5 5 we we PRON ajst-19342 5 6 made make VERB ajst-19342 5 7 a a DET ajst-19342 5 8 new new ADJ ajst-19342 5 9 kind kind NOUN ajst-19342 5 10 of of ADP ajst-19342 5 11 gan gan NOUN ajst-19342 5 12 with with ADP ajst-19342 5 13 a a DET ajst-19342 5 14 privacy privacy NOUN ajst-19342 5 15 protection protection NOUN ajst-19342 5 16 part part NOUN ajst-19342 5 17 called call VERB ajst-19342 5 18 dp dp NOUN ajst-19342 5 19 - - PUNCT ajst-19342 5 20 actgan actgan ADJ ajst-19342 5 21 . . PUNCT ajst-19342 6 1 it it PRON ajst-19342 6 2 uses use VERB ajst-19342 6 3 differential differential ADJ ajst-19342 6 4 privacy privacy NOUN ajst-19342 6 5 to to PART ajst-19342 6 6 keep keep VERB ajst-19342 6 7 the the DET ajst-19342 6 8 original original ADJ ajst-19342 6 9 data datum NOUN ajst-19342 6 10 safe safe ADJ ajst-19342 6 11 . . PUNCT ajst-19342 7 1 we we PRON ajst-19342 7 2 also also ADV ajst-19342 7 3 put put VERB ajst-19342 7 4 a a DET ajst-19342 7 5 classifier classifier NOUN ajst-19342 7 6 in in ADP ajst-19342 7 7 the the DET ajst-19342 7 8 gan gan NOUN ajst-19342 7 9 to to PART ajst-19342 7 10 make make VERB ajst-19342 7 11 sure sure ADJ ajst-19342 7 12 the the DET ajst-19342 7 13 new new ADJ ajst-19342 7 14 data data NOUN ajst-19342 7 15 is be AUX ajst-19342 7 16 very very ADV ajst-19342 7 17 close close ADJ ajst-19342 7 18 to to ADP ajst-19342 7 19 the the DET ajst-19342 7 20 real real ADJ ajst-19342 7 21 data datum NOUN ajst-19342 7 22 . . PUNCT ajst-19342 8 1 experiments experiment NOUN ajst-19342 8 2 show show VERB ajst-19342 8 3 that that SCONJ ajst-19342 8 4 dp dp NOUN ajst-19342 8 5 - - PUNCT ajst-19342 8 6 actgan actgan ADJ ajst-19342 8 7 can can AUX ajst-19342 8 8 make make VERB ajst-19342 8 9 good good ADJ ajst-19342 8 10 quality quality NOUN ajst-19342 8 11 data datum NOUN ajst-19342 8 12 without without ADP ajst-19342 8 13 giving give VERB ajst-19342 8 14 away away ADP ajst-19342 8 15 private private ADJ ajst-19342 8 16 information information NOUN ajst-19342 8 17 . . PUNCT ajst-19342 9 1 this this PRON ajst-19342 9 2 means mean VERB ajst-19342 9 3 we we PRON ajst-19342 9 4 can can AUX ajst-19342 9 5 use use VERB ajst-19342 9 6 data datum NOUN ajst-19342 9 7 well well ADV ajst-19342 9 8 without without ADP ajst-19342 9 9 breaking break VERB ajst-19342 9 10 privacy privacy NOUN ajst-19342 9 11 , , PUNCT ajst-19342 9 12 which which PRON ajst-19342 9 13 is be AUX ajst-19342 9 14 good good ADJ ajst-19342 9 15 for for ADP ajst-19342 9 16 ethical ethical ADJ ajst-19342 9 17 research research NOUN ajst-19342 9 18 and and CCONJ ajst-19342 9 19 making make VERB ajst-19342 9 20 new new ADJ ajst-19342 9 21 things thing NOUN ajst-19342 9 22 while while SCONJ ajst-19342 9 23 keeping keep VERB ajst-19342 9 24 privacy privacy NOUN ajst-19342 9 25 . . PUNCT ajst-19342 10 1 keywords keyword NOUN ajst-19342 10 2 : : PUNCT ajst-19342 10 3 generative generative ADJ ajst-19342 10 4 adversarial adversarial ADJ ajst-19342 10 5 networks network NOUN ajst-19342 10 6 , , PUNCT ajst-19342 10 7 differential differential NOUN ajst-19342 10 8 privacy privacy NOUN ajst-19342 10 9 , , PUNCT ajst-19342 10 10 health health NOUN ajst-19342 10 11 records record NOUN ajst-19342 10 12 , , PUNCT ajst-19342 10 13 synthetic synthetic ADJ ajst-19342 10 14 data datum NOUN ajst-19342 10 15 . . PUNCT ajst-19342 11 1 1 1 X ajst-19342 11 2 . . X ajst-19342 11 3 introduction introduction NOUN ajst-19342 11 4 private private ADJ ajst-19342 11 5 health health NOUN ajst-19342 11 6 information information NOUN ajst-19342 11 7 records record NOUN ajst-19342 11 8 are be AUX ajst-19342 11 9 useful useful ADJ ajst-19342 11 10 for for ADP ajst-19342 11 11 medical medical ADJ ajst-19342 11 12 studies study NOUN ajst-19342 11 13 [ [ X ajst-19342 11 14 1 1 NUM ajst-19342 11 15 ] ] PUNCT ajst-19342 11 16 . . PUNCT ajst-19342 12 1 however however ADV ajst-19342 12 2 , , PUNCT ajst-19342 12 3 because because SCONJ ajst-19342 12 4 of of ADP ajst-19342 12 5 the the DET ajst-19342 12 6 legal legal ADJ ajst-19342 12 7 rules rule NOUN ajst-19342 12 8 , , PUNCT ajst-19342 12 9 this this DET ajst-19342 12 10 kind kind NOUN ajst-19342 12 11 of of ADP ajst-19342 12 12 personal personal ADJ ajst-19342 12 13 health health NOUN ajst-19342 12 14 information information NOUN ajst-19342 12 15 is be AUX ajst-19342 12 16 often often ADV ajst-19342 12 17 not not PART ajst-19342 12 18 readily readily ADV ajst-19342 12 19 available available ADJ ajst-19342 12 20 to to ADP ajst-19342 12 21 researchers researcher NOUN ajst-19342 12 22 , , PUNCT ajst-19342 12 23 leading lead VERB ajst-19342 12 24 to to ADP ajst-19342 12 25 a a DET ajst-19342 12 26 shortage shortage NOUN ajst-19342 12 27 of of ADP ajst-19342 12 28 data datum NOUN ajst-19342 12 29 . . PUNCT ajst-19342 13 1 when when SCONJ ajst-19342 13 2 faced face VERB ajst-19342 13 3 with with ADP ajst-19342 13 4 data datum NOUN ajst-19342 13 5 scarcity scarcity NOUN ajst-19342 13 6 issues issue NOUN ajst-19342 13 7 , , PUNCT ajst-19342 13 8 using use VERB ajst-19342 13 9 generative generative ADJ ajst-19342 13 10 models model NOUN ajst-19342 13 11 can can AUX ajst-19342 13 12 be be AUX ajst-19342 13 13 a a DET ajst-19342 13 14 smart smart ADJ ajst-19342 13 15 solution solution NOUN ajst-19342 13 16 . . PUNCT ajst-19342 14 1 generative generative ADJ ajst-19342 14 2 adversarial adversarial ADJ ajst-19342 14 3 networks network NOUN ajst-19342 14 4 ( ( PUNCT ajst-19342 14 5 gans gan NOUN ajst-19342 14 6 ) ) PUNCT ajst-19342 15 1 [ [ X ajst-19342 15 2 2 2 NUM ajst-19342 15 3 ] ] PUNCT ajst-19342 15 4 has have AUX ajst-19342 15 5 been be AUX ajst-19342 15 6 very very ADV ajst-19342 15 7 successful successful ADJ ajst-19342 15 8 in in ADP ajst-19342 15 9 generation generation NOUN ajst-19342 15 10 field field NOUN ajst-19342 15 11 . . PUNCT ajst-19342 16 1 gans gan NOUN ajst-19342 16 2 essentially essentially ADV ajst-19342 16 3 learn learn VERB ajst-19342 16 4 from from ADP ajst-19342 16 5 real real ADJ ajst-19342 16 6 data datum NOUN ajst-19342 16 7 and and CCONJ ajst-19342 16 8 then then ADV ajst-19342 16 9 generate generate VERB ajst-19342 16 10 new new ADJ ajst-19342 16 11 , , PUNCT ajst-19342 16 12 high high ADJ ajst-19342 16 13 - - PUNCT ajst-19342 16 14 quality quality NOUN ajst-19342 16 15 synthetic synthetic ADJ ajst-19342 16 16 data datum NOUN ajst-19342 16 17 based base VERB ajst-19342 16 18 on on ADP ajst-19342 16 19 what what PRON ajst-19342 16 20 they they PRON ajst-19342 16 21 've have AUX ajst-19342 16 22 learned learn VERB ajst-19342 16 23 . . PUNCT ajst-19342 17 1 this this DET ajst-19342 17 2 generated generate VERB ajst-19342 17 3 data datum NOUN ajst-19342 17 4 can can AUX ajst-19342 17 5 address address VERB ajst-19342 17 6 data data NOUN ajst-19342 17 7 scarcity scarcity NOUN ajst-19342 17 8 issues issue NOUN ajst-19342 17 9 without without ADP ajst-19342 17 10 compromising compromise VERB ajst-19342 17 11 the the DET ajst-19342 17 12 privacy privacy NOUN ajst-19342 17 13 of of ADP ajst-19342 17 14 real real ADJ ajst-19342 17 15 data datum NOUN ajst-19342 17 16 [ [ X ajst-19342 17 17 3 3 NUM ajst-19342 17 18 - - SYM ajst-19342 17 19 5 5 NUM ajst-19342 17 20 ] ] PUNCT ajst-19342 17 21 . . PUNCT ajst-19342 18 1 the the DET ajst-19342 18 2 central central ADJ ajst-19342 18 3 privacy privacy NOUN ajst-19342 18 4 concern concern NOUN ajst-19342 18 5 with with ADP ajst-19342 18 6 gans gans PROPN ajst-19342 18 7 is be AUX ajst-19342 18 8 the the DET ajst-19342 18 9 potential potential NOUN ajst-19342 18 10 for for ADP ajst-19342 18 11 inadvertent inadvertent ADJ ajst-19342 18 12 disclosure disclosure NOUN ajst-19342 18 13 of of ADP ajst-19342 18 14 sensitive sensitive ADJ ajst-19342 18 15 information information NOUN ajst-19342 18 16 from from ADP ajst-19342 18 17 the the DET ajst-19342 18 18 training training NOUN ajst-19342 18 19 dataset dataset NOUN ajst-19342 18 20 . . PUNCT ajst-19342 19 1 when when SCONJ ajst-19342 19 2 gans gan NOUN ajst-19342 19 3 are be AUX ajst-19342 19 4 trained train VERB ajst-19342 19 5 to to PART ajst-19342 19 6 produce produce VERB ajst-19342 19 7 new new ADJ ajst-19342 19 8 data datum NOUN ajst-19342 19 9 points point NOUN ajst-19342 19 10 , , PUNCT ajst-19342 19 11 they they PRON ajst-19342 19 12 may may AUX ajst-19342 19 13 inadvertently inadvertently ADV ajst-19342 19 14 capture capture VERB ajst-19342 19 15 and and CCONJ ajst-19342 19 16 replicate replicate VERB ajst-19342 19 17 specific specific ADJ ajst-19342 19 18 and and CCONJ ajst-19342 19 19 potentially potentially ADV ajst-19342 19 20 identifying identify VERB ajst-19342 19 21 patterns pattern NOUN ajst-19342 19 22 from from ADP ajst-19342 19 23 the the DET ajst-19342 19 24 original original ADJ ajst-19342 19 25 dataset dataset NOUN ajst-19342 19 26 . . PUNCT ajst-19342 20 1 if if SCONJ ajst-19342 20 2 an an DET ajst-19342 20 3 adversary adversary NOUN ajst-19342 20 4 were be AUX ajst-19342 20 5 to to PART ajst-19342 20 6 extensively extensively ADV ajst-19342 20 7 analyze analyze VERB ajst-19342 20 8 the the DET ajst-19342 20 9 output output NOUN ajst-19342 20 10 data datum NOUN ajst-19342 20 11 , , PUNCT ajst-19342 20 12 it it PRON ajst-19342 20 13 becomes become VERB ajst-19342 20 14 possible possible ADJ ajst-19342 20 15 to to PART ajst-19342 20 16 detect detect VERB ajst-19342 20 17 these these DET ajst-19342 20 18 patterns pattern NOUN ajst-19342 20 19 , , PUNCT ajst-19342 20 20 which which PRON ajst-19342 20 21 could could AUX ajst-19342 20 22 reveal reveal VERB ajst-19342 20 23 private private ADJ ajst-19342 20 24 attributes attribute NOUN ajst-19342 20 25 or or CCONJ ajst-19342 20 26 even even ADV ajst-19342 20 27 reconstruct reconstruct VERB ajst-19342 20 28 original original ADJ ajst-19342 20 29 data datum NOUN ajst-19342 20 30 points point NOUN ajst-19342 20 31 . . PUNCT ajst-19342 21 1 this this PRON ajst-19342 21 2 is be AUX ajst-19342 21 3 particularly particularly ADV ajst-19342 21 4 true true ADJ ajst-19342 21 5 if if SCONJ ajst-19342 21 6 the the DET ajst-19342 21 7 gan gan PROPN ajst-19342 21 8 overfits overfit NOUN ajst-19342 21 9 to to ADP ajst-19342 21 10 the the DET ajst-19342 21 11 training training NOUN ajst-19342 21 12 data datum NOUN ajst-19342 21 13 , , PUNCT ajst-19342 21 14 essentially essentially ADV ajst-19342 21 15 memorizing memorize VERB ajst-19342 21 16 specific specific ADJ ajst-19342 21 17 details detail NOUN ajst-19342 21 18 rather rather ADV ajst-19342 21 19 than than ADP ajst-19342 21 20 learning learn VERB ajst-19342 21 21 the the DET ajst-19342 21 22 broader broad ADJ ajst-19342 21 23 distribution distribution NOUN ajst-19342 21 24 [ [ X ajst-19342 21 25 6 6 NUM ajst-19342 21 26 ] ] PUNCT ajst-19342 21 27 . . PUNCT ajst-19342 22 1 numerous numerous ADJ ajst-19342 22 2 inference inference NOUN ajst-19342 22 3 attack attack NOUN ajst-19342 22 4 techniques technique NOUN ajst-19342 22 5 have have AUX ajst-19342 22 6 been be AUX ajst-19342 22 7 developed develop VERB ajst-19342 22 8 to to PART ajst-19342 22 9 exploit exploit VERB ajst-19342 22 10 this this DET ajst-19342 22 11 vulnerability vulnerability NOUN ajst-19342 22 12 by by ADP ajst-19342 22 13 examining examine VERB ajst-19342 22 14 the the DET ajst-19342 22 15 synthetic synthetic ADJ ajst-19342 22 16 data datum NOUN ajst-19342 22 17 with with ADP ajst-19342 22 18 the the DET ajst-19342 22 19 intention intention NOUN ajst-19342 22 20 of of ADP ajst-19342 22 21 unearthing unearth VERB ajst-19342 22 22 or or CCONJ ajst-19342 22 23 deducing deduce VERB ajst-19342 22 24 the the DET ajst-19342 22 25 source source NOUN ajst-19342 22 26 data datum NOUN ajst-19342 22 27 , , PUNCT ajst-19342 22 28 posing pose VERB ajst-19342 22 29 a a DET ajst-19342 22 30 significant significant ADJ ajst-19342 22 31 threat threat NOUN ajst-19342 22 32 to to ADP ajst-19342 22 33 the the DET ajst-19342 22 34 confidentiality confidentiality NOUN ajst-19342 22 35 of of ADP ajst-19342 22 36 the the DET ajst-19342 22 37 data datum NOUN ajst-19342 22 38 used use VERB ajst-19342 22 39 in in ADP ajst-19342 22 40 training train VERB ajst-19342 22 41 the the DET ajst-19342 22 42 gans gan NOUN ajst-19342 22 43 [ [ X ajst-19342 22 44 7 7 NUM ajst-19342 22 45 - - SYM ajst-19342 22 46 9 9 NUM ajst-19342 22 47 ] ] PUNCT ajst-19342 22 48 . . PUNCT ajst-19342 23 1 in in ADP ajst-19342 23 2 experiments experiment NOUN ajst-19342 23 3 involving involve VERB ajst-19342 23 4 attackers attacker NOUN ajst-19342 23 5 , , PUNCT ajst-19342 23 6 gan gan PROPN ajst-19342 23 7 models model NOUN ajst-19342 23 8 that that PRON ajst-19342 23 9 incorporate incorporate VERB ajst-19342 23 10 differential differential ADJ ajst-19342 23 11 privacy privacy NOUN ajst-19342 23 12 can can AUX ajst-19342 23 13 effectively effectively ADV ajst-19342 23 14 resist resist VERB ajst-19342 23 15 their their PRON ajst-19342 23 16 attacks attack NOUN ajst-19342 23 17 . . PUNCT ajst-19342 24 1 this this DET ajst-19342 24 2 paper paper NOUN ajst-19342 24 3 tackles tackle VERB ajst-19342 24 4 the the DET ajst-19342 24 5 problem problem NOUN ajst-19342 24 6 of of ADP ajst-19342 24 7 privacy privacy NOUN ajst-19342 24 8 breaches breach NOUN ajst-19342 24 9 in in ADP ajst-19342 24 10 data datum NOUN ajst-19342 24 11 generated generate VERB ajst-19342 24 12 by by ADP ajst-19342 24 13 gans gan NOUN ajst-19342 24 14 by by ADP ajst-19342 24 15 integrating integrate VERB ajst-19342 24 16 a a DET ajst-19342 24 17 differential differential ADJ ajst-19342 24 18 privacy privacy NOUN ajst-19342 24 19 module module NOUN ajst-19342 24 20 into into ADP ajst-19342 24 21 the the DET ajst-19342 24 22 architecture architecture NOUN ajst-19342 24 23 of of ADP ajst-19342 24 24 the the DET ajst-19342 24 25 gan gan PROPN ajst-19342 24 26 framework framework NOUN ajst-19342 24 27 , , PUNCT ajst-19342 24 28 naming name VERB ajst-19342 24 29 it it PRON ajst-19342 24 30 dp dp ADJ ajst-19342 24 31 - - PUNCT ajst-19342 24 32 actgan actgan ADJ ajst-19342 24 33 , , PUNCT ajst-19342 24 34 which which PRON ajst-19342 24 35 stands stand VERB ajst-19342 24 36 for for ADP ajst-19342 24 37 differentially differentially ADV ajst-19342 24 38 private private ADJ ajst-19342 24 39 auxiliary auxiliary ADJ ajst-19342 24 40 classifier classifier NOUN ajst-19342 24 41 conditional conditional ADJ ajst-19342 24 42 tabular tabular PROPN ajst-19342 24 43 generative generative ADJ ajst-19342 24 44 adversarial adversarial ADJ ajst-19342 24 45 network network NOUN ajst-19342 24 46 . . PUNCT ajst-19342 25 1 differential differential PROPN ajst-19342 25 2 privacy privacy NOUN ajst-19342 25 3 is be AUX ajst-19342 25 4 a a DET ajst-19342 25 5 mathematical mathematical ADJ ajst-19342 25 6 framework framework NOUN ajst-19342 25 7 designed design VERB ajst-19342 25 8 to to PART ajst-19342 25 9 provide provide VERB ajst-19342 25 10 strong strong ADJ ajst-19342 25 11 privacy privacy NOUN ajst-19342 25 12 guarantees guarantee NOUN ajst-19342 25 13 when when SCONJ ajst-19342 25 14 analyzing analyze VERB ajst-19342 25 15 and and CCONJ ajst-19342 25 16 sharing share VERB ajst-19342 25 17 information information NOUN ajst-19342 25 18 from from ADP ajst-19342 25 19 original original ADJ ajst-19342 25 20 data datum NOUN ajst-19342 25 21 . . PUNCT ajst-19342 26 1 by by ADP ajst-19342 26 2 adding add VERB ajst-19342 26 3 gaussian gaussian ADJ ajst-19342 26 4 noise noise NOUN ajst-19342 26 5 during during ADP ajst-19342 26 6 the the DET ajst-19342 26 7 training training NOUN ajst-19342 26 8 process process NOUN ajst-19342 26 9 to to PART ajst-19342 26 10 achieve achieve VERB ajst-19342 26 11 differential differential ADJ ajst-19342 26 12 privacy privacy NOUN ajst-19342 26 13 , , PUNCT ajst-19342 26 14 we we PRON ajst-19342 26 15 aim aim VERB ajst-19342 26 16 to to PART ajst-19342 26 17 ensure ensure VERB ajst-19342 26 18 that that SCONJ ajst-19342 26 19 the the DET ajst-19342 26 20 generated generate VERB ajst-19342 26 21 data datum NOUN ajst-19342 26 22 can can AUX ajst-19342 26 23 not not PART ajst-19342 26 24 be be AUX ajst-19342 26 25 used use VERB ajst-19342 26 26 to to PART ajst-19342 26 27 infer infer VERB ajst-19342 26 28 sensitive sensitive ADJ ajst-19342 26 29 information information NOUN ajst-19342 26 30 about about ADP ajst-19342 26 31 individuals individual NOUN ajst-19342 26 32 in in ADP ajst-19342 26 33 the the DET ajst-19342 26 34 original original ADJ ajst-19342 26 35 dataset dataset NOUN ajst-19342 26 36 . . PUNCT ajst-19342 27 1 however however ADV ajst-19342 27 2 , , PUNCT ajst-19342 27 3 integrating integrate VERB ajst-19342 27 4 a a DET ajst-19342 27 5 differential differential ADJ ajst-19342 27 6 privacy privacy NOUN ajst-19342 27 7 module module NOUN ajst-19342 27 8 may may AUX ajst-19342 27 9 impact impact VERB ajst-19342 27 10 the the DET ajst-19342 27 11 quality quality NOUN ajst-19342 27 12 of of ADP ajst-19342 27 13 the the DET ajst-19342 27 14 generated generate VERB ajst-19342 27 15 data datum NOUN ajst-19342 27 16 . . PUNCT ajst-19342 28 1 to to PART ajst-19342 28 2 ensure ensure VERB ajst-19342 28 3 the the DET ajst-19342 28 4 quality quality NOUN ajst-19342 28 5 of of ADP ajst-19342 28 6 the the DET ajst-19342 28 7 generated generate VERB ajst-19342 28 8 data datum NOUN ajst-19342 28 9 , , PUNCT ajst-19342 28 10 this this DET ajst-19342 28 11 paper paper NOUN ajst-19342 28 12 adds add VERB ajst-19342 28 13 a a DET ajst-19342 28 14 classifier classifier NOUN ajst-19342 28 15 to to ADP ajst-19342 28 16 the the DET ajst-19342 28 17 original original ADJ ajst-19342 28 18 gan gan ADJ ajst-19342 28 19 model model NOUN ajst-19342 28 20 architecture architecture NOUN ajst-19342 28 21 to to PART ajst-19342 28 22 supervise supervise VERB ajst-19342 28 23 the the DET ajst-19342 28 24 generator generator NOUN ajst-19342 28 25 in in ADP ajst-19342 28 26 producing produce VERB ajst-19342 28 27 data datum NOUN ajst-19342 28 28 that that PRON ajst-19342 28 29 more more ADV ajst-19342 28 30 closely closely ADV ajst-19342 28 31 resembles resemble VERB ajst-19342 28 32 the the DET ajst-19342 28 33 real real ADJ ajst-19342 28 34 data datum NOUN ajst-19342 28 35 . . PUNCT ajst-19342 29 1 in in ADP ajst-19342 29 2 the the DET ajst-19342 29 3 experimental experimental ADJ ajst-19342 29 4 results result NOUN ajst-19342 29 5 , , PUNCT ajst-19342 29 6 the the DET ajst-19342 29 7 data datum NOUN ajst-19342 29 8 generated generate VERB ajst-19342 29 9 by by ADP ajst-19342 29 10 dpactgan dpactgan ADJ ajst-19342 29 11 not not PART ajst-19342 29 12 only only ADV ajst-19342 29 13 had have VERB ajst-19342 29 14 the the DET ajst-19342 29 15 best good ADJ ajst-19342 29 16 ability ability NOUN ajst-19342 29 17 to to PART ajst-19342 29 18 withstand withstand VERB ajst-19342 29 19 mia mia PROPN ajst-19342 29 20 but but CCONJ ajst-19342 29 21 also also ADV ajst-19342 29 22 maintained maintain VERB ajst-19342 29 23 data datum NOUN ajst-19342 29 24 utility utility NOUN ajst-19342 29 25 similar similar ADJ ajst-19342 29 26 to to ADP ajst-19342 29 27 that that PRON ajst-19342 29 28 of of ADP ajst-19342 29 29 the the DET ajst-19342 29 30 real real ADJ ajst-19342 29 31 data datum NOUN ajst-19342 29 32 . . PUNCT ajst-19342 30 1 this this PRON ajst-19342 30 2 implies imply VERB ajst-19342 30 3 that that SCONJ ajst-19342 30 4 the the DET ajst-19342 30 5 model model NOUN ajst-19342 30 6 can can AUX ajst-19342 30 7 create create VERB ajst-19342 30 8 synthetic synthetic ADJ ajst-19342 30 9 datasets dataset NOUN ajst-19342 30 10 that that PRON ajst-19342 30 11 not not PART ajst-19342 30 12 only only ADV ajst-19342 30 13 closely closely ADV ajst-19342 30 14 mimic mimic VERB ajst-19342 30 15 the the DET ajst-19342 30 16 statistical statistical ADJ ajst-19342 30 17 properties property NOUN ajst-19342 30 18 of of ADP ajst-19342 30 19 the the DET ajst-19342 30 20 original original ADJ ajst-19342 30 21 data datum NOUN ajst-19342 30 22 but but CCONJ ajst-19342 30 23 also also ADV ajst-19342 30 24 incorporate incorporate VERB ajst-19342 30 25 mechanisms mechanism NOUN ajst-19342 30 26 to to PART ajst-19342 30 27 preserve preserve VERB ajst-19342 30 28 the the DET ajst-19342 30 29 privacy privacy NOUN ajst-19342 30 30 of of ADP ajst-19342 30 31 the the DET ajst-19342 30 32 individuals individual NOUN ajst-19342 30 33 represented represent VERB ajst-19342 30 34 in in ADP ajst-19342 30 35 the the DET ajst-19342 30 36 dataset dataset NOUN ajst-19342 30 37 . . PUNCT ajst-19342 31 1 by by ADP ajst-19342 31 2 achieving achieve VERB ajst-19342 31 3 the the DET ajst-19342 31 4 balance balance NOUN ajst-19342 31 5 between between ADP ajst-19342 31 6 data datum NOUN ajst-19342 31 7 utility utility NOUN ajst-19342 31 8 and and CCONJ ajst-19342 31 9 privacy privacy NOUN ajst-19342 31 10 , , PUNCT ajst-19342 31 11 the the DET ajst-19342 31 12 use use NOUN ajst-19342 31 13 of of ADP ajst-19342 31 14 dp dp NOUN ajst-19342 31 15 - - PUNCT ajst-19342 31 16 actgan actgan ADJ ajst-19342 31 17 facilitates facilitate VERB ajst-19342 31 18 a a DET ajst-19342 31 19 more more ADV ajst-19342 31 20 ethical ethical ADJ ajst-19342 31 21 approach approach NOUN ajst-19342 31 22 to to ADP ajst-19342 31 23 data data NOUN ajst-19342 31 24 science science NOUN ajst-19342 31 25 , , PUNCT ajst-19342 31 26 where where SCONJ ajst-19342 31 27 the the DET ajst-19342 31 28 value value NOUN ajst-19342 31 29 of of ADP ajst-19342 31 30 data datum NOUN ajst-19342 31 31 can can AUX ajst-19342 31 32 be be AUX ajst-19342 31 33 harnessed harness VERB ajst-19342 31 34 without without ADP ajst-19342 31 35 compromising compromise VERB ajst-19342 31 36 the the DET ajst-19342 31 37 privacy privacy NOUN ajst-19342 31 38 rights right NOUN ajst-19342 31 39 of of ADP ajst-19342 31 40 individuals individual NOUN ajst-19342 31 41 . . PUNCT ajst-19342 32 1 this this PRON ajst-19342 32 2 creates create VERB ajst-19342 32 3 new new ADJ ajst-19342 32 4 opportunities opportunity NOUN ajst-19342 32 5 for for ADP ajst-19342 32 6 research research NOUN ajst-19342 32 7 and and CCONJ ajst-19342 32 8 innovation innovation NOUN ajst-19342 32 9 with with ADP ajst-19342 32 10 privacy privacy NOUN ajst-19342 32 11 in in ADP ajst-19342 32 12 mind mind NOUN ajst-19342 32 13 . . PUNCT ajst-19342 33 1 2 2 X ajst-19342 33 2 . . X ajst-19342 33 3 related relate VERB ajst-19342 33 4 work work NOUN ajst-19342 33 5 2.1 2.1 NUM ajst-19342 33 6 . . PUNCT ajst-19342 34 1 generative generative ADJ ajst-19342 34 2 adversarial adversarial ADJ ajst-19342 34 3 networks network NOUN ajst-19342 34 4 for for ADP ajst-19342 34 5 data datum NOUN ajst-19342 34 6 privacy privacy NOUN ajst-19342 34 7 generative generative ADJ ajst-19342 34 8 adversarial adversarial ADJ ajst-19342 34 9 networks network NOUN ajst-19342 34 10 ( ( PUNCT ajst-19342 34 11 gans gan NOUN ajst-19342 34 12 ) ) PUNCT ajst-19342 34 13 and and CCONJ ajst-19342 34 14 their their PRON ajst-19342 34 15 variants variant NOUN ajst-19342 34 16 have have AUX ajst-19342 34 17 been be AUX ajst-19342 34 18 increasingly increasingly ADV ajst-19342 34 19 recognized recognize VERB ajst-19342 34 20 for for ADP ajst-19342 34 21 their their PRON ajst-19342 34 22 potential potential NOUN ajst-19342 34 23 in in ADP ajst-19342 34 24 facilitating facilitate VERB ajst-19342 34 25 data datum NOUN ajst-19342 34 26 sharing sharing NOUN ajst-19342 34 27 while while SCONJ ajst-19342 34 28 preserving preserve VERB ajst-19342 34 29 privacy privacy NOUN ajst-19342 34 30 . . PUNCT ajst-19342 35 1 by by ADP ajst-19342 35 2 generating generate VERB ajst-19342 35 3 new new ADJ ajst-19342 35 4 data datum NOUN ajst-19342 35 5 instances instance NOUN ajst-19342 35 6 that that PRON ajst-19342 35 7 mimic mimic VERB ajst-19342 35 8 the the DET ajst-19342 35 9 statistical statistical ADJ ajst-19342 35 10 properties property NOUN ajst-19342 35 11 of of ADP ajst-19342 35 12 original original ADJ ajst-19342 35 13 datasets dataset NOUN ajst-19342 35 14 , , PUNCT ajst-19342 35 15 gans gan NOUN ajst-19342 35 16 provide provide VERB ajst-19342 35 17 a a DET ajst-19342 35 18 mechanism mechanism NOUN ajst-19342 35 19 for for ADP ajst-19342 35 20 sharing share VERB ajst-19342 35 21 information information NOUN ajst-19342 35 22 without without ADP ajst-19342 35 23 disclosing disclose VERB ajst-19342 35 24 actual actual ADJ ajst-19342 35 25 records record NOUN ajst-19342 35 26 , , PUNCT ajst-19342 35 27 thus thus ADV ajst-19342 35 28 protecting protect VERB ajst-19342 35 29 individual individual ADJ ajst-19342 35 30 privacy privacy NOUN ajst-19342 35 31 . . PUNCT ajst-19342 36 1 in in ADP ajst-19342 36 2 the the DET ajst-19342 36 3 field field NOUN ajst-19342 36 4 of of ADP ajst-19342 36 5 medical medical ADJ ajst-19342 36 6 imaging imaging NOUN ajst-19342 36 7 , , PUNCT ajst-19342 36 8 gans gan NOUN ajst-19342 36 9 are be AUX ajst-19342 36 10 used use VERB ajst-19342 36 11 to to PART ajst-19342 36 12 create create VERB ajst-19342 36 13 realistic realistic ADJ ajst-19342 36 14 images image NOUN ajst-19342 36 15 such such ADJ ajst-19342 36 16 as as ADP ajst-19342 36 17 x x NOUN ajst-19342 36 18 - - NOUN ajst-19342 36 19 rays ray NOUN ajst-19342 36 20 or or CCONJ ajst-19342 36 21 mri mri NOUN ajst-19342 36 22 scans scan NOUN ajst-19342 36 23 for for ADP ajst-19342 36 24 data datum NOUN ajst-19342 36 25 sharing sharing NOUN ajst-19342 36 26 and and CCONJ ajst-19342 36 27 model model NOUN ajst-19342 36 28 training training NOUN ajst-19342 36 29 , , PUNCT ajst-19342 36 30 without without ADP ajst-19342 36 31 disclosing disclose VERB ajst-19342 36 32 the the DET ajst-19342 36 33 information information NOUN ajst-19342 36 34 of of ADP ajst-19342 36 35 real real ADJ ajst-19342 36 36 patients patient NOUN ajst-19342 36 37 . . PUNCT ajst-19342 37 1 these these DET ajst-19342 37 2 synthetic synthetic ADJ ajst-19342 37 3 images image NOUN ajst-19342 37 4 can can AUX ajst-19342 37 5 enhance enhance VERB ajst-19342 37 6 the the DET ajst-19342 37 7 size size NOUN ajst-19342 37 8 and and CCONJ ajst-19342 37 9 diversity diversity NOUN ajst-19342 37 10 of of ADP ajst-19342 37 11 datasets dataset NOUN ajst-19342 37 12 , , PUNCT ajst-19342 37 13 aiding aid VERB ajst-19342 37 14 in in ADP ajst-19342 37 15 the the DET ajst-19342 37 16 training training NOUN ajst-19342 37 17 of of ADP ajst-19342 37 18 machine machine NOUN ajst-19342 37 19 learning learning NOUN ajst-19342 37 20 models model NOUN ajst-19342 37 21 , , PUNCT ajst-19342 37 22 while while SCONJ ajst-19342 37 23 simultaneously simultaneously ADV ajst-19342 37 24 protecting protect VERB ajst-19342 37 25 patient patient ADJ ajst-19342 37 26 privacy privacy NOUN ajst-19342 37 27 [ [ X ajst-19342 37 28 10 10 NUM ajst-19342 37 29 , , PUNCT ajst-19342 37 30 11 11 NUM ajst-19342 37 31 ] ] PUNCT ajst-19342 37 32 . . PUNCT ajst-19342 38 1 researchers researcher NOUN ajst-19342 38 2 [ [ X ajst-19342 38 3 13 13 NUM ajst-19342 38 4 , , PUNCT ajst-19342 38 5 14 14 NUM ajst-19342 38 6 ] ] PUNCT ajst-19342 38 7 use use NOUN ajst-19342 38 8 gans gan NOUN ajst-19342 38 9 to to PART ajst-19342 38 10 generate generate VERB ajst-19342 38 11 health health NOUN ajst-19342 38 12 records record NOUN ajst-19342 38 13 . . PUNCT ajst-19342 39 1 this this DET ajst-19342 39 2 synthetic synthetic ADJ ajst-19342 39 3 data datum NOUN ajst-19342 39 4 can can AUX ajst-19342 39 5 be be AUX ajst-19342 39 6 used use VERB ajst-19342 39 7 for for ADP ajst-19342 39 8 medical medical ADJ ajst-19342 39 9 research research NOUN ajst-19342 39 10 and and CCONJ ajst-19342 39 11 model model NOUN ajst-19342 39 12 training training NOUN ajst-19342 39 13 without without ADP ajst-19342 39 14 compromising compromise VERB ajst-19342 39 15 patient patient ADJ ajst-19342 39 16 privacy privacy NOUN ajst-19342 39 17 , , PUNCT ajst-19342 39 18 demonstrating demonstrate VERB ajst-19342 39 19 potential potential NOUN ajst-19342 39 20 for for ADP ajst-19342 39 21 advancing advance VERB ajst-19342 39 22 healthcare healthcare NOUN ajst-19342 39 23 analytics analytic NOUN ajst-19342 39 24 while while SCONJ ajst-19342 39 25 adhering adhere VERB ajst-19342 39 26 to to ADP ajst-19342 39 27 privacy privacy NOUN ajst-19342 39 28 regulations regulation NOUN ajst-19342 39 29 . . PUNCT ajst-19342 40 1 under under ADP ajst-19342 40 2 membership membership NOUN ajst-19342 40 3 inference inference NOUN ajst-19342 40 4 attacks attack NOUN ajst-19342 40 5 ( ( PUNCT ajst-19342 40 6 mia mia NOUN ajst-19342 40 7 ) ) PUNCT ajst-19342 40 8 , , PUNCT ajst-19342 40 9 gans gan NOUN ajst-19342 40 10 may may AUX ajst-19342 40 11 leak leak VERB ajst-19342 40 12 information information NOUN ajst-19342 40 13 about about ADP ajst-19342 40 14 the the DET ajst-19342 40 15 real real ADJ ajst-19342 40 16 data datum NOUN ajst-19342 40 17 as as SCONJ ajst-19342 40 18 attackers attacker NOUN ajst-19342 40 19 might might AUX ajst-19342 40 20 be be AUX ajst-19342 40 21 able able ADJ ajst-19342 40 22 to to PART ajst-19342 40 23 identify identify VERB ajst-19342 40 24 that that SCONJ ajst-19342 40 25 certain certain ADJ ajst-19342 40 26 synthetic synthetic ADJ ajst-19342 40 27 data datum NOUN ajst-19342 40 28 points point NOUN ajst-19342 40 29 were be AUX ajst-19342 40 30 generated generate VERB ajst-19342 40 31 based base VERB ajst-19342 40 32 on on ADP ajst-19342 40 33 specific specific ADJ ajst-19342 40 34 real real ADJ ajst-19342 40 35 training training NOUN ajst-19342 40 36 data datum NOUN ajst-19342 40 37 . . PUNCT ajst-19342 41 1 this this DET ajst-19342 41 2 type type NOUN ajst-19342 41 3 of of ADP ajst-19342 41 4 attack attack NOUN ajst-19342 41 5 is be AUX ajst-19342 41 6 446 446 NUM ajst-19342 41 7 particularly particularly ADV ajst-19342 41 8 likely likely ADJ ajst-19342 41 9 to to PART ajst-19342 41 10 occur occur VERB ajst-19342 41 11 when when SCONJ ajst-19342 41 12 gans gan NOUN ajst-19342 41 13 capture capture VERB ajst-19342 41 14 and and CCONJ ajst-19342 41 15 replicate replicate VERB ajst-19342 41 16 unique unique ADJ ajst-19342 41 17 or or CCONJ ajst-19342 41 18 identifiable identifiable ADJ ajst-19342 41 19 patterns pattern NOUN ajst-19342 41 20 in in ADP ajst-19342 41 21 the the DET ajst-19342 41 22 training training NOUN ajst-19342 41 23 data datum NOUN ajst-19342 41 24 , , PUNCT ajst-19342 41 25 allowing allow VERB ajst-19342 41 26 attackers attacker NOUN ajst-19342 41 27 to to PART ajst-19342 41 28 infer infer VERB ajst-19342 41 29 that that SCONJ ajst-19342 41 30 certain certain ADJ ajst-19342 41 31 individuals individual NOUN ajst-19342 41 32 or or CCONJ ajst-19342 41 33 information information NOUN ajst-19342 41 34 were be AUX ajst-19342 41 35 used use VERB ajst-19342 41 36 in in ADP ajst-19342 41 37 the the DET ajst-19342 41 38 training training NOUN ajst-19342 41 39 of of ADP ajst-19342 41 40 the the DET ajst-19342 41 41 model model NOUN ajst-19342 41 42 , , PUNCT ajst-19342 41 43 leading lead VERB ajst-19342 41 44 to to ADP ajst-19342 41 45 potential potential ADJ ajst-19342 41 46 privacy privacy NOUN ajst-19342 41 47 breaches breach NOUN ajst-19342 41 48 [ [ X ajst-19342 41 49 7 7 NUM ajst-19342 41 50 - - SYM ajst-19342 41 51 9 9 NUM ajst-19342 41 52 ] ] PUNCT ajst-19342 41 53 . . PUNCT ajst-19342 42 1 2.2 2.2 NUM ajst-19342 42 2 . . PUNCT ajst-19342 42 3 generative generative ADJ ajst-19342 42 4 adversarial adversarial ADJ ajst-19342 42 5 networks network NOUN ajst-19342 42 6 with with ADP ajst-19342 42 7 differential differential ADJ ajst-19342 42 8 privacy privacy NOUN ajst-19342 42 9 differential differential NOUN ajst-19342 42 10 privacy privacy NOUN ajst-19342 42 11 enhances enhance VERB ajst-19342 42 12 the the DET ajst-19342 42 13 defense defense NOUN ajst-19342 42 14 of of ADP ajst-19342 42 15 datasets dataset NOUN ajst-19342 42 16 against against ADP ajst-19342 42 17 mia mia PROPN ajst-19342 42 18 by by ADP ajst-19342 42 19 introducing introduce VERB ajst-19342 42 20 noise noise NOUN ajst-19342 42 21 into into ADP ajst-19342 42 22 the the DET ajst-19342 42 23 data data NOUN ajst-19342 42 24 processing processing NOUN ajst-19342 42 25 procedure procedure NOUN ajst-19342 42 26 , , PUNCT ajst-19342 42 27 thereby thereby ADV ajst-19342 42 28 ensuring ensure VERB ajst-19342 42 29 individual individual ADJ ajst-19342 42 30 privacy privacy NOUN ajst-19342 42 31 . . PUNCT ajst-19342 43 1 dwork dwork NOUN ajst-19342 43 2 et et PROPN ajst-19342 43 3 al al PROPN ajst-19342 43 4 . . PUNCT ajst-19342 44 1 [ [ X ajst-19342 44 2 15 15 NUM ajst-19342 44 3 ] ] PUNCT ajst-19342 44 4 introduced introduce VERB ajst-19342 44 5 an an DET ajst-19342 44 6 innovative innovative ADJ ajst-19342 44 7 technique technique NOUN ajst-19342 44 8 for for ADP ajst-19342 44 9 protecting protect VERB ajst-19342 44 10 privacy privacy NOUN ajst-19342 44 11 of of ADP ajst-19342 44 12 data datum NOUN ajst-19342 44 13 exposure exposure NOUN ajst-19342 44 14 risks risk NOUN ajst-19342 44 15 , , PUNCT ajst-19342 44 16 known know VERB ajst-19342 44 17 as as ADP ajst-19342 44 18 differential differential ADJ ajst-19342 44 19 privacy privacy NOUN ajst-19342 44 20 ( ( PUNCT ajst-19342 44 21 dp dp NOUN ajst-19342 44 22 ) ) PUNCT ajst-19342 44 23 which which PRON ajst-19342 44 24 defined define VERB ajst-19342 44 25 as as ADP ajst-19342 44 26 follows follow VERB ajst-19342 44 27 : : PUNCT ajst-19342 44 28 โ„™ โ„™ PROPN ajst-19342 44 29 ๐‘€ ๐‘€ NOUN ajst-19342 44 30 ๐‘‘ ๐‘‘ PROPN ajst-19342 44 31 โˆˆ โˆˆ PROPN ajst-19342 44 32 ๐‘† ๐‘† PROPN ajst-19342 44 33 โฉฝ โฉฝ NOUN ajst-19342 44 34 ๐‘’ ๐‘’ PROPN ajst-19342 44 35 โ‹… โ‹… PROPN ajst-19342 44 36 โ„™ โ„™ PROPN ajst-19342 44 37 ๐‘€ ๐‘€ NOUN ajst-19342 44 38 ๐‘‘ ๐‘‘ PROPN ajst-19342 44 39 โˆˆ โˆˆ PROPN ajst-19342 44 40 ๐‘† ๐‘† PROPN ajst-19342 44 41 ๐›ฟ ๐›ฟ ADJ ajst-19342 44 42 ( ( PUNCT ajst-19342 44 43 1 1 NUM ajst-19342 44 44 ) ) PUNCT ajst-19342 44 45 in in ADP ajst-19342 44 46 the the DET ajst-19342 44 47 formula formula NOUN ajst-19342 44 48 , , PUNCT ajst-19342 44 49 ๐‘‘ ๐‘‘ PRON ajst-19342 44 50 and and CCONJ ajst-19342 44 51 ๐‘‘ ๐‘‘ PROPN ajst-19342 44 52 represent represent VERB ajst-19342 44 53 two two NUM ajst-19342 44 54 adjacent adjacent ADJ ajst-19342 44 55 datasets dataset NOUN ajst-19342 44 56 that that PRON ajst-19342 44 57 differ differ VERB ajst-19342 44 58 by by ADP ajst-19342 44 59 the the DET ajst-19342 44 60 data datum NOUN ajst-19342 44 61 of of ADP ajst-19342 44 62 just just ADV ajst-19342 44 63 one one NUM ajst-19342 44 64 individual individual NOUN ajst-19342 44 65 . . PUNCT ajst-19342 45 1 ๐œ€ ๐œ€ PROPN ajst-19342 45 2 is be AUX ajst-19342 45 3 the the DET ajst-19342 45 4 privacy privacy NOUN ajst-19342 45 5 budget budget NOUN ajst-19342 45 6 which which PRON ajst-19342 45 7 control control VERB ajst-19342 45 8 the the DET ajst-19342 45 9 level level NOUN ajst-19342 45 10 of of ADP ajst-19342 45 11 the the DET ajst-19342 45 12 privacy privacy NOUN ajst-19342 45 13 . . PUNCT ajst-19342 46 1 an an DET ajst-19342 46 2 algorithm algorithm NOUN ajst-19342 46 3 ๐‘€ ๐‘€ PROPN ajst-19342 46 4 that that PRON ajst-19342 46 5 meets meet VERB ajst-19342 46 6 the the DET ajst-19342 46 7 above above ADJ ajst-19342 46 8 formula formula NOUN ajst-19342 46 9 satisfies satisfie NOUN ajst-19342 46 10 ( ( PUNCT ajst-19342 46 11 ฮต ฮต PROPN ajst-19342 46 12 , , PUNCT ajst-19342 46 13 ฮด)-dp ฮด)-dp PROPN ajst-19342 46 14 . . PUNCT ajst-19342 47 1 this this DET ajst-19342 47 2 approach approach NOUN ajst-19342 47 3 aims aim VERB ajst-19342 47 4 to to PART ajst-19342 47 5 minimize minimize VERB ajst-19342 47 6 the the DET ajst-19342 47 7 potential potential ADJ ajst-19342 47 8 impact impact NOUN ajst-19342 47 9 on on ADP ajst-19342 47 10 individual individual ADJ ajst-19342 47 11 privacy privacy NOUN ajst-19342 47 12 during during ADP ajst-19342 47 13 data data NOUN ajst-19342 47 14 processing processing NOUN ajst-19342 47 15 and and CCONJ ajst-19342 47 16 analysis analysis NOUN ajst-19342 47 17 . . PUNCT ajst-19342 48 1 in in ADP ajst-19342 48 2 this this DET ajst-19342 48 3 privacy privacy NOUN ajst-19342 48 4 protection protection NOUN ajst-19342 48 5 method method NOUN ajst-19342 48 6 , , PUNCT ajst-19342 48 7 the the DET ajst-19342 48 8 released release VERB ajst-19342 48 9 data data NOUN ajst-19342 48 10 is be AUX ajst-19342 48 11 moderately moderately ADV ajst-19342 48 12 disturbed disturb VERB ajst-19342 48 13 , , PUNCT ajst-19342 48 14 making make VERB ajst-19342 48 15 it it PRON ajst-19342 48 16 difficult difficult ADJ ajst-19342 48 17 to to PART ajst-19342 48 18 reconstruct reconstruct VERB ajst-19342 48 19 or or CCONJ ajst-19342 48 20 identify identify VERB ajst-19342 48 21 an an DET ajst-19342 48 22 individual individual NOUN ajst-19342 48 23 's 's PART ajst-19342 48 24 information information NOUN ajst-19342 48 25 , , PUNCT ajst-19342 48 26 thereby thereby ADV ajst-19342 48 27 effectively effectively ADV ajst-19342 48 28 safeguarding safeguard VERB ajst-19342 48 29 privacy privacy NOUN ajst-19342 48 30 . . PUNCT ajst-19342 49 1 mironov mironov PROPN ajst-19342 49 2 et et PROPN ajst-19342 49 3 al al PROPN ajst-19342 49 4 . . PUNCT ajst-19342 50 1 [ [ X ajst-19342 50 2 16 16 NUM ajst-19342 50 3 ] ] PUNCT ajst-19342 50 4 proposed propose VERB ajst-19342 50 5 a a DET ajst-19342 50 6 new new ADJ ajst-19342 50 7 definition definition NOUN ajst-19342 50 8 of of ADP ajst-19342 50 9 privacy privacy NOUN ajst-19342 50 10 called call VERB ajst-19342 50 11 rรฉnyi rรฉnyi PROPN ajst-19342 50 12 differential differential PROPN ajst-19342 50 13 privacy privacy NOUN ajst-19342 50 14 ( ( PUNCT ajst-19342 50 15 rรฉnyi rรฉnyi NOUN ajst-19342 50 16 dp dp PROPN ajst-19342 50 17 ) ) PUNCT ajst-19342 50 18 . . PUNCT ajst-19342 51 1 rรฉnyi rรฉnyi PROPN ajst-19342 51 2 dp dp NOUN ajst-19342 51 3 shares share NOUN ajst-19342 51 4 many many ADJ ajst-19342 51 5 properties property NOUN ajst-19342 51 6 with with ADP ajst-19342 51 7 traditional traditional ADJ ajst-19342 51 8 differential differential NOUN ajst-19342 51 9 privacy privacy NOUN ajst-19342 51 10 , , PUNCT ajst-19342 51 11 making make VERB ajst-19342 51 12 it it PRON ajst-19342 51 13 a a DET ajst-19342 51 14 natural natural ADJ ajst-19342 51 15 extension extension NOUN ajst-19342 51 16 of of ADP ajst-19342 51 17 it it PRON ajst-19342 51 18 . . PUNCT ajst-19342 52 1 moreover moreover ADV ajst-19342 52 2 , , PUNCT ajst-19342 52 3 rรฉnyi rรฉnyi PROPN ajst-19342 52 4 dp dp PROPN ajst-19342 52 5 can can AUX ajst-19342 52 6 capture capture VERB ajst-19342 52 7 privacy privacy NOUN ajst-19342 52 8 loss loss NOUN ajst-19342 52 9 more more ADV ajst-19342 52 10 accurately accurately ADV ajst-19342 52 11 through through ADP ajst-19342 52 12 the the DET ajst-19342 52 13 use use NOUN ajst-19342 52 14 of of ADP ajst-19342 52 15 composition composition NOUN ajst-19342 52 16 theorems theorem NOUN ajst-19342 52 17 . . PUNCT ajst-19342 53 1 acs acs PROPN ajst-19342 53 2 et et PROPN ajst-19342 53 3 al al PROPN ajst-19342 53 4 . . PUNCT ajst-19342 54 1 [ [ X ajst-19342 54 2 17 17 NUM ajst-19342 54 3 ] ] PUNCT ajst-19342 54 4 were be AUX ajst-19342 54 5 the the DET ajst-19342 54 6 first first ADJ ajst-19342 54 7 to to PART ajst-19342 54 8 attempt attempt VERB ajst-19342 54 9 to to PART ajst-19342 54 10 build build VERB ajst-19342 54 11 a a DET ajst-19342 54 12 gan gan ADJ ajst-19342 54 13 model model NOUN ajst-19342 54 14 incorporating incorporate VERB ajst-19342 54 15 dp dp NOUN ajst-19342 54 16 . . PUNCT ajst-19342 55 1 their their PRON ajst-19342 55 2 method method NOUN ajst-19342 55 3 divides divide VERB ajst-19342 55 4 the the DET ajst-19342 55 5 entire entire ADJ ajst-19342 55 6 training training NOUN ajst-19342 55 7 dataset dataset NOUN ajst-19342 55 8 into into ADP ajst-19342 55 9 k k PROPN ajst-19342 55 10 subsets subset NOUN ajst-19342 55 11 using use VERB ajst-19342 55 12 a a DET ajst-19342 55 13 differentially differentially ADV ajst-19342 55 14 private private ADJ ajst-19342 55 15 kmeans kmean NOUN ajst-19342 55 16 algorithm algorithm NOUN ajst-19342 55 17 , , PUNCT ajst-19342 55 18 and and CCONJ ajst-19342 55 19 then then ADV ajst-19342 55 20 trains train VERB ajst-19342 55 21 a a DET ajst-19342 55 22 local local ADJ ajst-19342 55 23 generative generative ADJ ajst-19342 55 24 model model NOUN ajst-19342 55 25 on on ADP ajst-19342 55 26 each each PRON ajst-19342 55 27 subset subset VERB ajst-19342 55 28 independently independently ADV ajst-19342 55 29 . . PUNCT ajst-19342 56 1 xie xie PROPN ajst-19342 56 2 et et PROPN ajst-19342 56 3 al al PROPN ajst-19342 56 4 . . PUNCT ajst-19342 57 1 [ [ X ajst-19342 57 2 18 18 NUM ajst-19342 57 3 ] ] PUNCT ajst-19342 57 4 proposed propose VERB ajst-19342 57 5 dpgan dpgan NOUN ajst-19342 57 6 , , PUNCT ajst-19342 57 7 which which PRON ajst-19342 57 8 achieves achieve VERB ajst-19342 57 9 differential differential ADJ ajst-19342 57 10 privacy privacy NOUN ajst-19342 57 11 by by ADP ajst-19342 57 12 clipping clip VERB ajst-19342 57 13 weights weight NOUN ajst-19342 57 14 and and CCONJ ajst-19342 57 15 adding add VERB ajst-19342 57 16 gaussian gaussian ADJ ajst-19342 57 17 noise noise NOUN ajst-19342 57 18 . . PUNCT ajst-19342 58 1 it it PRON ajst-19342 58 2 employs employ VERB ajst-19342 58 3 the the DET ajst-19342 58 4 loss loss NOUN ajst-19342 58 5 function function NOUN ajst-19342 58 6 from from ADP ajst-19342 58 7 wgan wgan ADJ ajst-19342 58 8 [ [ X ajst-19342 58 9 19 19 NUM ajst-19342 58 10 ] ] PUNCT ajst-19342 58 11 to to PART ajst-19342 58 12 produce produce VERB ajst-19342 58 13 better well ADJ ajst-19342 58 14 results result NOUN ajst-19342 58 15 while while SCONJ ajst-19342 58 16 also also ADV ajst-19342 58 17 combating combat VERB ajst-19342 58 18 mode mode NOUN ajst-19342 58 19 collapse collapse NOUN ajst-19342 58 20 , , PUNCT ajst-19342 58 21 which which PRON ajst-19342 58 22 is be AUX ajst-19342 58 23 critical critical ADJ ajst-19342 58 24 for for ADP ajst-19342 58 25 balancing balance VERB ajst-19342 58 26 privacy privacy NOUN ajst-19342 58 27 and and CCONJ ajst-19342 58 28 utility utility NOUN ajst-19342 58 29 . . PUNCT ajst-19342 59 1 during during ADP ajst-19342 59 2 the the DET ajst-19342 59 3 training training NOUN ajst-19342 59 4 phase phase NOUN ajst-19342 59 5 , , PUNCT ajst-19342 59 6 adding add VERB ajst-19342 59 7 gaussian gaussian ADJ ajst-19342 59 8 noise noise NOUN ajst-19342 59 9 to to ADP ajst-19342 59 10 the the DET ajst-19342 59 11 gradient gradient NOUN ajst-19342 59 12 calculations calculation NOUN ajst-19342 59 13 and and CCONJ ajst-19342 59 14 clipping clip VERB ajst-19342 59 15 the the DET ajst-19342 59 16 updated update VERB ajst-19342 59 17 weights weight NOUN ajst-19342 59 18 helps help VERB ajst-19342 59 19 to to PART ajst-19342 59 20 achieve achieve VERB ajst-19342 59 21 smaller small ADJ ajst-19342 59 22 privacy privacy NOUN ajst-19342 59 23 losses loss NOUN ajst-19342 59 24 . . PUNCT ajst-19342 60 1 incorporating incorporate VERB ajst-19342 60 2 differential differential ADJ ajst-19342 60 3 privacy privacy NOUN ajst-19342 60 4 techniques technique NOUN ajst-19342 60 5 into into ADP ajst-19342 60 6 gans gan NOUN ajst-19342 60 7 makes make VERB ajst-19342 60 8 it it PRON ajst-19342 60 9 more more ADV ajst-19342 60 10 challenging challenging ADJ ajst-19342 60 11 to to PART ajst-19342 60 12 infer infer VERB ajst-19342 60 13 any any DET ajst-19342 60 14 individual individual ADJ ajst-19342 60 15 information information NOUN ajst-19342 60 16 from from ADP ajst-19342 60 17 the the DET ajst-19342 60 18 generated generate VERB ajst-19342 60 19 data datum NOUN ajst-19342 60 20 , , PUNCT ajst-19342 60 21 as as SCONJ ajst-19342 60 22 differential differential ADJ ajst-19342 60 23 privacy privacy NOUN ajst-19342 60 24 ensures ensure VERB ajst-19342 60 25 that that SCONJ ajst-19342 60 26 even even ADV ajst-19342 60 27 minor minor ADJ ajst-19342 60 28 changes change NOUN ajst-19342 60 29 , , PUNCT ajst-19342 60 30 such such ADJ ajst-19342 60 31 as as ADP ajst-19342 60 32 the the DET ajst-19342 60 33 addition addition NOUN ajst-19342 60 34 or or CCONJ ajst-19342 60 35 removal removal NOUN ajst-19342 60 36 of of ADP ajst-19342 60 37 individual individual ADJ ajst-19342 60 38 data datum NOUN ajst-19342 60 39 , , PUNCT ajst-19342 60 40 do do AUX ajst-19342 60 41 not not PART ajst-19342 60 42 significantly significantly ADV ajst-19342 60 43 alter alter VERB ajst-19342 60 44 the the DET ajst-19342 60 45 output output NOUN ajst-19342 60 46 results result NOUN ajst-19342 60 47 . . PUNCT ajst-19342 61 1 3 3 X ajst-19342 61 2 . . X ajst-19342 61 3 methods method NOUN ajst-19342 61 4 3.1 3.1 NUM ajst-19342 61 5 . . PUNCT ajst-19342 62 1 problem problem NOUN ajst-19342 62 2 definition definition NOUN ajst-19342 62 3 this this DET ajst-19342 62 4 article article NOUN ajst-19342 62 5 defines define VERB ajst-19342 62 6 real real ADJ ajst-19342 62 7 health health NOUN ajst-19342 62 8 records record NOUN ajst-19342 62 9 as as ADP ajst-19342 62 10 ๐’Ÿdata ๐’Ÿdata PROPN ajst-19342 62 11 ๐‘ฟ ๐‘ฟ PROPN ajst-19342 62 12 , , PUNCT ajst-19342 62 13 ๐’€ ๐’€ NOUN ajst-19342 62 14 , , PUNCT ajst-19342 62 15 where where SCONJ ajst-19342 62 16 ๐‘ฟ ๐‘ฟ PROPN ajst-19342 62 17 ๐‘ฟ๐Ÿ ๐‘ฟ๐Ÿ PROPN ajst-19342 62 18 , , PUNCT ajst-19342 62 19 ๐‘ฟ๐Ÿ ๐‘ฟ๐Ÿ PROPN ajst-19342 62 20 , , PUNCT ajst-19342 62 21 โ€ฆ โ€ฆ PUNCT ajst-19342 62 22 , , PUNCT ajst-19342 62 23 ๐‘ฟ๐’Ž ๐‘ฟ๐’Ž PROPN ajst-19342 62 24 is be AUX ajst-19342 62 25 table table NOUN ajst-19342 62 26 - - PUNCT ajst-19342 62 27 type type NOUN ajst-19342 62 28 data datum NOUN ajst-19342 62 29 with with ADP ajst-19342 62 30 ๐— ๐— PROPN ajst-19342 62 31 โˆˆ โˆˆ PROPN ajst-19342 62 32 โ„› โ„› NOUN ajst-19342 62 33 , , PUNCT ajst-19342 62 34 meaning mean VERB ajst-19342 62 35 there there PRON ajst-19342 62 36 are be VERB ajst-19342 62 37 m m NOUN ajst-19342 62 38 samples sample NOUN ajst-19342 62 39 of of ADP ajst-19342 62 40 tabular tabular NOUN ajst-19342 62 41 health health NOUN ajst-19342 62 42 data datum NOUN ajst-19342 62 43 , , PUNCT ajst-19342 62 44 each each PRON ajst-19342 62 45 with with ADP ajst-19342 62 46 n n NOUN ajst-19342 62 47 features feature NOUN ajst-19342 62 48 . . PUNCT ajst-19342 63 1 for for ADP ajst-19342 63 2 the the DET ajst-19342 63 3 labels label NOUN ajst-19342 63 4 , , PUNCT ajst-19342 63 5 ๐’€ ๐’€ PROPN ajst-19342 63 6 ๐’€๐Ÿ ๐’€๐Ÿ PROPN ajst-19342 63 7 , , PUNCT ajst-19342 63 8 ๐’€๐Ÿ ๐’€๐Ÿ NOUN ajst-19342 63 9 , , PUNCT ajst-19342 63 10 โ€ฆ โ€ฆ PUNCT ajst-19342 63 11 , , PUNCT ajst-19342 63 12 ๐’€๐’Ž ๐’€๐’Ž PROPN ajst-19342 63 13 , , PUNCT ajst-19342 63 14 where where SCONJ ajst-19342 63 15 ๐˜ ๐˜ PROPN ajst-19342 63 16 โˆˆ โˆˆ PROPN ajst-19342 63 17 โ„› โ„› PROPN ajst-19342 63 18 , , PUNCT ajst-19342 63 19 forming form VERB ajst-19342 63 20 the the DET ajst-19342 63 21 label label NOUN ajst-19342 63 22 set set NOUN ajst-19342 63 23 . . PUNCT ajst-19342 64 1 these these DET ajst-19342 64 2 variables variable NOUN ajst-19342 64 3 follow follow VERB ajst-19342 64 4 an an DET ajst-19342 64 5 unknown unknown ADJ ajst-19342 64 6 joint joint ADJ ajst-19342 64 7 distribution distribution NOUN ajst-19342 64 8 , , PUNCT ajst-19342 64 9 each each DET ajst-19342 64 10 row row NOUN ajst-19342 64 11 is be AUX ajst-19342 64 12 a a DET ajst-19342 64 13 sample sample NOUN ajst-19342 64 14 from from ADP ajst-19342 64 15 this this DET ajst-19342 64 16 joint joint ADJ ajst-19342 64 17 distribution distribution NOUN ajst-19342 64 18 , , PUNCT ajst-19342 64 19 and and CCONJ ajst-19342 64 20 each each DET ajst-19342 64 21 row row NOUN ajst-19342 64 22 is be AUX ajst-19342 64 23 independently independently ADV ajst-19342 64 24 sampled sample VERB ajst-19342 64 25 , , PUNCT ajst-19342 64 26 meaning mean VERB ajst-19342 64 27 the the DET ajst-19342 64 28 order order NOUN ajst-19342 64 29 of of ADP ajst-19342 64 30 the the DET ajst-19342 64 31 rows row NOUN ajst-19342 64 32 does do AUX ajst-19342 64 33 n't not PART ajst-19342 64 34 need need VERB ajst-19342 64 35 to to PART ajst-19342 64 36 be be AUX ajst-19342 64 37 considered consider VERB ajst-19342 64 38 . . PUNCT ajst-19342 65 1 the the DET ajst-19342 65 2 goal goal NOUN ajst-19342 65 3 of of ADP ajst-19342 65 4 this this DET ajst-19342 65 5 article article NOUN ajst-19342 65 6 is be AUX ajst-19342 65 7 to to PART ajst-19342 65 8 train train VERB ajst-19342 65 9 a a DET ajst-19342 65 10 generative generative ADJ ajst-19342 65 11 model model NOUN ajst-19342 65 12 to to PART ajst-19342 65 13 produce produce VERB ajst-19342 65 14 a a DET ajst-19342 65 15 table table NOUN ajst-19342 65 16 t t NOUN ajst-19342 65 17 that that PRON ajst-19342 65 18 meets meet VERB ajst-19342 65 19 the the DET ajst-19342 65 20 following follow VERB ajst-19342 65 21 criteria criterion NOUN ajst-19342 65 22 : : PUNCT ajst-19342 65 23 first first ADV ajst-19342 65 24 , , PUNCT ajst-19342 65 25 the the DET ajst-19342 65 26 generated generate VERB ajst-19342 65 27 data datum NOUN ajst-19342 65 28 t t PROPN ajst-19342 65 29 should should AUX ajst-19342 65 30 be be AUX ajst-19342 65 31 used use VERB ajst-19342 65 32 to to PART ajst-19342 65 33 train train VERB ajst-19342 65 34 a a DET ajst-19342 65 35 classification classification NOUN ajst-19342 65 36 model model NOUN ajst-19342 65 37 and and CCONJ ajst-19342 65 38 achieve achieve VERB ajst-19342 65 39 similar similar ADJ ajst-19342 65 40 results result NOUN ajst-19342 65 41 on on ADP ajst-19342 65 42 a a DET ajst-19342 65 43 real real ADJ ajst-19342 65 44 test test NOUN ajst-19342 65 45 set set VERB ajst-19342 65 46 as as ADP ajst-19342 65 47 the the DET ajst-19342 65 48 real real ADJ ajst-19342 65 49 training training NOUN ajst-19342 65 50 set set NOUN ajst-19342 65 51 . . PUNCT ajst-19342 66 1 second second ADJ ajst-19342 66 2 , , PUNCT ajst-19342 66 3 the the DET ajst-19342 66 4 generated generate VERB ajst-19342 66 5 table table NOUN ajst-19342 66 6 t t PROPN ajst-19342 66 7 should should AUX ajst-19342 66 8 have have VERB ajst-19342 66 9 a a DET ajst-19342 66 10 similar similar ADJ ajst-19342 66 11 statistical statistical ADJ ajst-19342 66 12 distribution distribution NOUN ajst-19342 66 13 to to ADP ajst-19342 66 14 the the DET ajst-19342 66 15 original original ADJ ajst-19342 66 16 dataset dataset NOUN ajst-19342 66 17 . . PUNCT ajst-19342 67 1 lastly lastly ADV ajst-19342 67 2 , , PUNCT ajst-19342 67 3 the the DET ajst-19342 67 4 generated generate VERB ajst-19342 67 5 table table NOUN ajst-19342 67 6 t t PROPN ajst-19342 67 7 should should AUX ajst-19342 67 8 not not PART ajst-19342 67 9 expose expose VERB ajst-19342 67 10 any any DET ajst-19342 67 11 private private ADJ ajst-19342 67 12 information information NOUN ajst-19342 67 13 from from ADP ajst-19342 67 14 the the DET ajst-19342 67 15 real real ADJ ajst-19342 67 16 data datum NOUN ajst-19342 67 17 . . PUNCT ajst-19342 68 1 real real ADJ ajst-19342 68 2 data datum NOUN ajst-19342 68 3 noise noise NOUN ajst-19342 68 4 generated generate VERB ajst-19342 68 5 data datum NOUN ajst-19342 68 6 true true ADJ ajst-19342 68 7 / / SYM ajst-19342 68 8 false false ADJ ajst-19342 68 9 classification classification NOUN ajst-19342 68 10 differential differential NOUN ajst-19342 68 11 privacy privacy NOUN ajst-19342 68 12 discriminator discriminator NOUN ajst-19342 68 13 classifier classifier PROPN ajst-19342 68 14 generator generator PROPN ajst-19342 68 15 figure figure NOUN ajst-19342 68 16 1 1 NUM ajst-19342 68 17 . . PUNCT ajst-19342 68 18 structure structure NOUN ajst-19342 68 19 of of ADP ajst-19342 68 20 dp dp NOUN ajst-19342 68 21 - - PUNCT ajst-19342 68 22 actgan actgan ADJ ajst-19342 68 23 3.2 3.2 NUM ajst-19342 68 24 . . PUNCT ajst-19342 69 1 model model NOUN ajst-19342 69 2 structure structure NOUN ajst-19342 69 3 the the DET ajst-19342 69 4 dp dp NOUN ajst-19342 69 5 - - PUNCT ajst-19342 69 6 actgan actgan ADJ ajst-19342 69 7 is be AUX ajst-19342 69 8 an an DET ajst-19342 69 9 improvement improvement NOUN ajst-19342 69 10 on on ADP ajst-19342 69 11 past past ADJ ajst-19342 69 12 studies study NOUN ajst-19342 69 13 like like ADP ajst-19342 69 14 [ [ X ajst-19342 69 15 12 12 NUM ajst-19342 69 16 , , PUNCT ajst-19342 69 17 18 18 NUM ajst-19342 69 18 ] ] PUNCT ajst-19342 69 19 , , PUNCT ajst-19342 69 20 adding add VERB ajst-19342 69 21 new new ADJ ajst-19342 69 22 features feature NOUN ajst-19342 69 23 that that PRON ajst-19342 69 24 improve improve VERB ajst-19342 69 25 the the DET ajst-19342 69 26 quality quality NOUN ajst-19342 69 27 of of ADP ajst-19342 69 28 generated generate VERB ajst-19342 69 29 data datum NOUN ajst-19342 69 30 and and CCONJ ajst-19342 69 31 provide provide VERB ajst-19342 69 32 a a DET ajst-19342 69 33 guarantee guarantee NOUN ajst-19342 69 34 of of ADP ajst-19342 69 35 privacy privacy NOUN ajst-19342 69 36 protection protection NOUN ajst-19342 69 37 . . PUNCT ajst-19342 70 1 figure figure NOUN ajst-19342 70 2 1 1 NUM ajst-19342 70 3 displays display VERB ajst-19342 70 4 the the DET ajst-19342 70 5 overall overall ADJ ajst-19342 70 6 structure structure NOUN ajst-19342 70 7 of of ADP ajst-19342 70 8 dp dp NOUN ajst-19342 70 9 - - PUNCT ajst-19342 70 10 actgan actgan ADJ ajst-19342 70 11 . . PUNCT ajst-19342 71 1 for for ADP ajst-19342 71 2 training train VERB ajst-19342 71 3 the the DET ajst-19342 71 4 generator generator NOUN ajst-19342 71 5 and and CCONJ ajst-19342 71 6 discriminator discriminator NOUN ajst-19342 71 7 , , PUNCT ajst-19342 71 8 we we PRON ajst-19342 71 9 employ employ VERB ajst-19342 71 10 a a DET ajst-19342 71 11 loss loss NOUN ajst-19342 71 12 function function NOUN ajst-19342 71 13 that that PRON ajst-19342 71 14 is be AUX ajst-19342 71 15 consistent consistent ADJ ajst-19342 71 16 with with ADP ajst-19342 71 17 the the DET ajst-19342 71 18 one one NOUN ajst-19342 71 19 described describe VERB ajst-19342 71 20 in in ADP ajst-19342 71 21 [ [ X ajst-19342 71 22 12 12 NUM ajst-19342 71 23 ] ] PUNCT ajst-19342 71 24 . . PUNCT ajst-19342 72 1 to to PART ajst-19342 72 2 improve improve VERB ajst-19342 72 3 the the DET ajst-19342 72 4 quality quality NOUN ajst-19342 72 5 of of ADP ajst-19342 72 6 generated generate VERB ajst-19342 72 7 data datum NOUN ajst-19342 72 8 , , PUNCT ajst-19342 72 9 we we PRON ajst-19342 72 10 added add VERB ajst-19342 72 11 a a DET ajst-19342 72 12 classifier classifier NOUN ajst-19342 72 13 to to ADP ajst-19342 72 14 the the DET ajst-19342 72 15 original original ADJ ajst-19342 72 16 gan gan NOUN ajst-19342 72 17 structure structure NOUN ajst-19342 72 18 . . PUNCT ajst-19342 73 1 this this DET ajst-19342 73 2 classifier classifier NOUN ajst-19342 73 3 447 447 NUM ajst-19342 73 4 employs employ VERB ajst-19342 73 5 binary binary PROPN ajst-19342 73 6 cross cross NOUN ajst-19342 73 7 - - NOUN ajst-19342 73 8 entropy entropy ADJ ajst-19342 73 9 ( ( PUNCT ajst-19342 73 10 bce bce PROPN ajst-19342 73 11 ) ) PUNCT ajst-19342 73 12 as as ADP ajst-19342 73 13 its its PRON ajst-19342 73 14 loss loss NOUN ajst-19342 73 15 function function NOUN ajst-19342 73 16 and and CCONJ ajst-19342 73 17 the the DET ajst-19342 73 18 formula formula NOUN ajst-19342 73 19 for for ADP ajst-19342 73 20 bce bce PROPN ajst-19342 73 21 is be AUX ajst-19342 73 22 shown show VERB ajst-19342 73 23 as as ADP ajst-19342 73 24 equation equation NOUN ajst-19342 73 25 2 2 NUM ajst-19342 73 26 . . PUNCT ajst-19342 74 1 this this DET ajst-19342 74 2 classifier classifier NOUN ajst-19342 74 3 is be AUX ajst-19342 74 4 trained train VERB ajst-19342 74 5 using use VERB ajst-19342 74 6 the the DET ajst-19342 74 7 real real ADJ ajst-19342 74 8 labels label NOUN ajst-19342 74 9 from from ADP ajst-19342 74 10 the the DET ajst-19342 74 11 original original ADJ ajst-19342 74 12 tabular tabular NOUN ajst-19342 74 13 data datum NOUN ajst-19342 74 14 , , PUNCT ajst-19342 74 15 allowing allow VERB ajst-19342 74 16 it it PRON ajst-19342 74 17 to to PART ajst-19342 74 18 learn learn VERB ajst-19342 74 19 the the DET ajst-19342 74 20 relationship relationship NOUN ajst-19342 74 21 between between ADP ajst-19342 74 22 labels label NOUN ajst-19342 74 23 and and CCONJ ajst-19342 74 24 features feature NOUN ajst-19342 74 25 in in ADP ajst-19342 74 26 the the DET ajst-19342 74 27 real real ADJ ajst-19342 74 28 data datum NOUN ajst-19342 74 29 . . PUNCT ajst-19342 75 1 when when SCONJ ajst-19342 75 2 a a DET ajst-19342 75 3 generated generate VERB ajst-19342 75 4 record record NOUN ajst-19342 75 5 is be AUX ajst-19342 75 6 presented present VERB ajst-19342 75 7 , , PUNCT ajst-19342 75 8 the the DET ajst-19342 75 9 classifier classifier NOUN ajst-19342 75 10 can can AUX ajst-19342 75 11 assess assess VERB ajst-19342 75 12 whether whether SCONJ ajst-19342 75 13 the the DET ajst-19342 75 14 relationship relationship NOUN ajst-19342 75 15 between between ADP ajst-19342 75 16 features feature NOUN ajst-19342 75 17 and and CCONJ ajst-19342 75 18 labels label NOUN ajst-19342 75 19 is be AUX ajst-19342 75 20 correct correct ADJ ajst-19342 75 21 . . PUNCT ajst-19342 76 1 if if SCONJ ajst-19342 76 2 the the DET ajst-19342 76 3 classifier classifier NOUN ajst-19342 76 4 detects detect VERB ajst-19342 76 5 an an DET ajst-19342 76 6 error error NOUN ajst-19342 76 7 , , PUNCT ajst-19342 76 8 it it PRON ajst-19342 76 9 can can AUX ajst-19342 76 10 provide provide VERB ajst-19342 76 11 feedback feedback NOUN ajst-19342 76 12 to to ADP ajst-19342 76 13 the the DET ajst-19342 76 14 generator generator NOUN ajst-19342 76 15 , , PUNCT ajst-19342 76 16 helping help VERB ajst-19342 76 17 it it PRON ajst-19342 76 18 create create VERB ajst-19342 76 19 more more ADV ajst-19342 76 20 accurate accurate ADJ ajst-19342 76 21 and and CCONJ ajst-19342 76 22 realistic realistic ADJ ajst-19342 76 23 data datum NOUN ajst-19342 76 24 . . PUNCT ajst-19342 77 1 this this PRON ajst-19342 77 2 can can AUX ajst-19342 77 3 enhance enhance VERB ajst-19342 77 4 the the DET ajst-19342 77 5 quality quality NOUN ajst-19342 77 6 and and CCONJ ajst-19342 77 7 credibility credibility NOUN ajst-19342 77 8 of of ADP ajst-19342 77 9 the the DET ajst-19342 77 10 generated generate VERB ajst-19342 77 11 data datum NOUN ajst-19342 77 12 . . PUNCT ajst-19342 78 1 figure figure NOUN ajst-19342 78 2 2 2 NUM ajst-19342 78 3 displays display VERB ajst-19342 78 4 the the DET ajst-19342 78 5 network network NOUN ajst-19342 78 6 structure structure NOUN ajst-19342 78 7 of of ADP ajst-19342 78 8 dp dp NOUN ajst-19342 78 9 - - PUNCT ajst-19342 78 10 actgan actgan ADJ ajst-19342 78 11 . . PUNCT ajst-19342 79 1 ๐ฟ ๐ฟ PROPN ajst-19342 79 2 โˆ‘ โˆ‘ NOUN ajst-19342 79 3 โ€Š โ€Š SPACE ajst-19342 79 4 ๐‘ฆ ๐‘ฆ PRON ajst-19342 79 5 log log VERB ajst-19342 79 6 ๐‘ ๐‘ SYM ajst-19342 79 7 1 1 NUM ajst-19342 79 8 ๐‘ฆ ๐‘ฆ NOUN ajst-19342 79 9 log log NOUN ajst-19342 79 10 1 1 NUM ajst-19342 79 11 ๐‘ ๐‘ PROPN ajst-19342 79 12 ( ( PUNCT ajst-19342 79 13 2 2 NUM ajst-19342 79 14 ) ) PUNCT ajst-19342 79 15 to to PART ajst-19342 79 16 address address VERB ajst-19342 79 17 privacy privacy NOUN ajst-19342 79 18 concerns concern NOUN ajst-19342 79 19 with with ADP ajst-19342 79 20 data datum NOUN ajst-19342 79 21 , , PUNCT ajst-19342 79 22 we we PRON ajst-19342 79 23 've have AUX ajst-19342 79 24 incorporated incorporate VERB ajst-19342 79 25 a a DET ajst-19342 79 26 differential differential ADJ ajst-19342 79 27 privacy privacy NOUN ajst-19342 79 28 module module NOUN ajst-19342 79 29 into into ADP ajst-19342 79 30 our our PRON ajst-19342 79 31 model model NOUN ajst-19342 79 32 to to PART ajst-19342 79 33 protect protect VERB ajst-19342 79 34 the the DET ajst-19342 79 35 privacy privacy NOUN ajst-19342 79 36 of of ADP ajst-19342 79 37 the the DET ajst-19342 79 38 original original ADJ ajst-19342 79 39 data datum NOUN ajst-19342 79 40 . . PUNCT ajst-19342 80 1 by by ADP ajst-19342 80 2 introducing introduce VERB ajst-19342 80 3 random random ADJ ajst-19342 80 4 noise noise NOUN ajst-19342 80 5 to to ADP ajst-19342 80 6 the the DET ajst-19342 80 7 data datum NOUN ajst-19342 80 8 , , PUNCT ajst-19342 80 9 we we PRON ajst-19342 80 10 can can AUX ajst-19342 80 11 mask mask VERB ajst-19342 80 12 individual individual ADJ ajst-19342 80 13 contributions contribution NOUN ajst-19342 80 14 and and CCONJ ajst-19342 80 15 make make VERB ajst-19342 80 16 it it PRON ajst-19342 80 17 hard hard ADJ ajst-19342 80 18 to to PART ajst-19342 80 19 distinguish distinguish VERB ajst-19342 80 20 any any DET ajst-19342 80 21 single single ADJ ajst-19342 80 22 individual individual NOUN ajst-19342 80 23 's 's PART ajst-19342 80 24 data datum NOUN ajst-19342 80 25 from from ADP ajst-19342 80 26 the the DET ajst-19342 80 27 dataset dataset NOUN ajst-19342 80 28 . . PUNCT ajst-19342 81 1 laplace laplace NOUN ajst-19342 81 2 and and CCONJ ajst-19342 81 3 gaussian gaussian ADJ ajst-19342 81 4 mechanisms mechanism NOUN ajst-19342 81 5 are be AUX ajst-19342 81 6 two two NUM ajst-19342 81 7 popular popular ADJ ajst-19342 81 8 methods method NOUN ajst-19342 81 9 used use VERB ajst-19342 81 10 to to PART ajst-19342 81 11 add add VERB ajst-19342 81 12 noise noise NOUN ajst-19342 81 13 for for ADP ajst-19342 81 14 differential differential NOUN ajst-19342 81 15 privacy privacy NOUN ajst-19342 81 16 [ [ X ajst-19342 81 17 16 16 NUM ajst-19342 81 18 , , PUNCT ajst-19342 81 19 20 20 NUM ajst-19342 81 20 ] ] PUNCT ajst-19342 81 21 . . PUNCT ajst-19342 82 1 the the DET ajst-19342 82 2 reason reason NOUN ajst-19342 82 3 for for ADP ajst-19342 82 4 using use VERB ajst-19342 82 5 the the DET ajst-19342 82 6 gaussian gaussian ADJ ajst-19342 82 7 mechanism mechanism NOUN ajst-19342 82 8 is be AUX ajst-19342 82 9 that that SCONJ ajst-19342 82 10 it it PRON ajst-19342 82 11 strikes strike VERB ajst-19342 82 12 a a DET ajst-19342 82 13 balance balance NOUN ajst-19342 82 14 between between ADP ajst-19342 82 15 data datum NOUN ajst-19342 82 16 utility utility NOUN ajst-19342 82 17 and and CCONJ ajst-19342 82 18 privacy privacy NOUN ajst-19342 82 19 . . PUNCT ajst-19342 83 1 to to PART ajst-19342 83 2 get get VERB ajst-19342 83 3 similar similar ADJ ajst-19342 83 4 privacy privacy NOUN ajst-19342 83 5 protection protection NOUN ajst-19342 83 6 , , PUNCT ajst-19342 83 7 the the DET ajst-19342 83 8 amount amount NOUN ajst-19342 83 9 of of ADP ajst-19342 83 10 gaussian gaussian ADJ ajst-19342 83 11 noise noise NOUN ajst-19342 83 12 added add VERB ajst-19342 83 13 will will AUX ajst-19342 83 14 be be AUX ajst-19342 83 15 less less ADJ ajst-19342 83 16 than than ADP ajst-19342 83 17 the the DET ajst-19342 83 18 amount amount NOUN ajst-19342 83 19 of of ADP ajst-19342 83 20 laplace laplace NOUN ajst-19342 83 21 noise noise NOUN ajst-19342 83 22 [ [ X ajst-19342 83 23 16 16 NUM ajst-19342 83 24 ] ] PUNCT ajst-19342 83 25 . . PUNCT ajst-19342 84 1 it it PRON ajst-19342 84 2 allows allow VERB ajst-19342 84 3 us we PRON ajst-19342 84 4 to to PART ajst-19342 84 5 maintain maintain VERB ajst-19342 84 6 the the DET ajst-19342 84 7 statistical statistical ADJ ajst-19342 84 8 properties property NOUN ajst-19342 84 9 of of ADP ajst-19342 84 10 the the DET ajst-19342 84 11 dataset dataset NOUN ajst-19342 84 12 while while SCONJ ajst-19342 84 13 still still ADV ajst-19342 84 14 providing provide VERB ajst-19342 84 15 strong strong ADJ ajst-19342 84 16 privacy privacy NOUN ajst-19342 84 17 guarantees guarantee NOUN ajst-19342 84 18 . . PUNCT ajst-19342 85 1 during during ADP ajst-19342 85 2 training training NOUN ajst-19342 85 3 step step NOUN ajst-19342 85 4 , , PUNCT ajst-19342 85 5 we we PRON ajst-19342 85 6 add add VERB ajst-19342 85 7 gaussian gaussian ADJ ajst-19342 85 8 noise noise NOUN ajst-19342 85 9 to to ADP ajst-19342 85 10 the the DET ajst-19342 85 11 gradient gradient NOUN ajst-19342 85 12 of of ADP ajst-19342 85 13 discriminator discriminator NOUN ajst-19342 85 14 . . PUNCT ajst-19342 86 1 the the DET ajst-19342 86 2 model model NOUN ajst-19342 86 3 keeps keep VERB ajst-19342 86 4 an an DET ajst-19342 86 5 eye eye NOUN ajst-19342 86 6 on on ADP ajst-19342 86 7 the the DET ajst-19342 86 8 privacy privacy NOUN ajst-19342 86 9 budget budget NOUN ajst-19342 86 10 used use VERB ajst-19342 86 11 by by ADP ajst-19342 86 12 checking check VERB ajst-19342 86 13 it it PRON ajst-19342 86 14 each each DET ajst-19342 86 15 time time NOUN ajst-19342 86 16 we we PRON ajst-19342 86 17 put put VERB ajst-19342 86 18 noise noise NOUN ajst-19342 86 19 into into ADP ajst-19342 86 20 the the DET ajst-19342 86 21 gradient gradient NOUN ajst-19342 86 22 . . PUNCT ajst-19342 87 1 we we PRON ajst-19342 87 2 use use VERB ajst-19342 87 3 the the DET ajst-19342 87 4 rรฉnyi rรฉnyi PROPN ajst-19342 87 5 differential differential PROPN ajst-19342 87 6 privacy privacy NOUN ajst-19342 87 7 accountant accountant NOUN ajst-19342 87 8 [ [ X ajst-19342 87 9 16 16 NUM ajst-19342 87 10 ] ] PUNCT ajst-19342 87 11 , , PUNCT ajst-19342 87 12 which which PRON ajst-19342 87 13 gives give VERB ajst-19342 87 14 a a DET ajst-19342 87 15 more more ADV ajst-19342 87 16 accurate accurate ADJ ajst-19342 87 17 privacy privacy NOUN ajst-19342 87 18 budget budget NOUN ajst-19342 87 19 estimate estimate NOUN ajst-19342 87 20 compare compare VERB ajst-19342 87 21 with with ADP ajst-19342 87 22 moment moment NOUN ajst-19342 87 23 accountant accountant NOUN ajst-19342 87 24 . . PUNCT ajst-19342 88 1 the the DET ajst-19342 88 2 formula formula NOUN ajst-19342 88 3 of of ADP ajst-19342 88 4 rรฉnyi rรฉnyi PROPN ajst-19342 88 5 differential differential PROPN ajst-19342 88 6 privacy privacy NOUN ajst-19342 88 7 accountant accountant NOUN ajst-19342 88 8 to to PART ajst-19342 88 9 calculate calculate VERB ajst-19342 88 10 the the DET ajst-19342 88 11 privacy privacy NOUN ajst-19342 88 12 budget budget NOUN ajst-19342 88 13 is be AUX ajst-19342 88 14 shown show VERB ajst-19342 88 15 as as ADP ajst-19342 88 16 equation equation NOUN ajst-19342 88 17 3 3 NUM ajst-19342 88 18 . . PUNCT ajst-19342 89 1 ๐œ– ๐œ– PROPN ajst-19342 89 2 ๐›ผ ๐›ผ X ajst-19342 89 3 โ‹… โ‹… X ajst-19342 89 4 ( ( PUNCT ajst-19342 89 5 3 3 NUM ajst-19342 89 6 ) ) PUNCT ajst-19342 89 7 ฮด ฮด NOUN ajst-19342 89 8 ๐‘“ ๐‘“ PROPN ajst-19342 89 9 is be AUX ajst-19342 89 10 the the DET ajst-19342 89 11 ๐ฟ ๐ฟ PROPN ajst-19342 89 12 sensitivity sensitivity NOUN ajst-19342 89 13 ( ( PUNCT ajst-19342 89 14 i.e. i.e. X ajst-19342 89 15 , , PUNCT ajst-19342 89 16 the the DET ajst-19342 89 17 maximum maximum ADJ ajst-19342 89 18 euclidean euclidean ADJ ajst-19342 89 19 norm norm NOUN ajst-19342 89 20 difference difference NOUN ajst-19342 89 21 on on ADP ajst-19342 89 22 any any DET ajst-19342 89 23 two two NUM ajst-19342 89 24 adjacent adjacent ADJ ajst-19342 89 25 datasets dataset NOUN ajst-19342 89 26 ) ) PUNCT ajst-19342 89 27 . . PUNCT ajst-19342 90 1 ๐œŽ ๐œŽ PROPN ajst-19342 90 2 is be AUX ajst-19342 90 3 the the DET ajst-19342 90 4 standard standard ADJ ajst-19342 90 5 deviation deviation NOUN ajst-19342 90 6 of of ADP ajst-19342 90 7 the the DET ajst-19342 90 8 added add VERB ajst-19342 90 9 gaussian gaussian NOUN ajst-19342 90 10 noise noise NOUN ajst-19342 90 11 . . PUNCT ajst-19342 91 1 with with ADP ajst-19342 91 2 the the DET ajst-19342 91 3 same same ADJ ajst-19342 91 4 privacy privacy NOUN ajst-19342 91 5 budget budget NOUN ajst-19342 91 6 , , PUNCT ajst-19342 91 7 we we PRON ajst-19342 91 8 can can AUX ajst-19342 91 9 add add VERB ajst-19342 91 10 less less ADJ ajst-19342 91 11 noise noise NOUN ajst-19342 91 12 to to PART ajst-19342 91 13 keeps keep VERB ajst-19342 91 14 important important ADJ ajst-19342 91 15 information information NOUN ajst-19342 91 16 better well ADV ajst-19342 91 17 during during ADP ajst-19342 91 18 training training NOUN ajst-19342 91 19 while while SCONJ ajst-19342 91 20 protecting protect VERB ajst-19342 91 21 the the DET ajst-19342 91 22 privacy privacy NOUN ajst-19342 91 23 . . PUNCT ajst-19342 92 1 in in ADP ajst-19342 92 2 this this DET ajst-19342 92 3 way way NOUN ajst-19342 92 4 , , PUNCT ajst-19342 92 5 we we PRON ajst-19342 92 6 can can AUX ajst-19342 92 7 improve improve VERB ajst-19342 92 8 the the DET ajst-19342 92 9 quality quality NOUN ajst-19342 92 10 of of ADP ajst-19342 92 11 the the DET ajst-19342 92 12 generated generate VERB ajst-19342 92 13 data datum NOUN ajst-19342 92 14 while while SCONJ ajst-19342 92 15 ensuring ensure VERB ajst-19342 92 16 privacy privacy NOUN ajst-19342 92 17 . . PUNCT ajst-19342 93 1 classification classification NOUN ajst-19342 93 2 fc fc PROPN ajst-19342 93 3 n n PROPN ajst-19342 93 4 b b PROPN ajst-19342 93 5 n n CCONJ ajst-19342 93 6 n n ADV ajst-19342 93 7 oi oi INTJ ajst-19342 93 8 se se X ajst-19342 93 9 synthetic synthetic PROPN ajst-19342 93 10 data data PROPN ajst-19342 93 11 generator generator NOUN ajst-19342 93 12 real real ADJ ajst-19342 93 13 data datum NOUN ajst-19342 93 14 real real ADJ ajst-19342 93 15 / / SYM ajst-19342 93 16 fake fake ADJ ajst-19342 93 17 discriminator discriminator NOUN ajst-19342 93 18 p p PROPN ajst-19342 93 19 classifier classifier NOUN ajst-19342 93 20 fc fc PROPN ajst-19342 93 21 n n PROPN ajst-19342 93 22 l l PROPN ajst-19342 93 23 ea ea NOUN ajst-19342 94 1 ky ky PROPN ajst-19342 94 2 r r PROPN ajst-19342 94 3 el el PROPN ajst-19342 94 4 u u PROPN ajst-19342 94 5 fc fc PROPN ajst-19342 94 6 n n PROPN ajst-19342 94 7 b b PROPN ajst-19342 94 8 n n ADP ajst-19342 94 9 l l NOUN ajst-19342 94 10 ea ea NOUN ajst-19342 95 1 ky ky PROPN ajst-19342 95 2 r r PROPN ajst-19342 95 3 el el PROPN ajst-19342 95 4 u u PROPN ajst-19342 95 5 ta ta PROPN ajst-19342 95 6 nh nh PROPN ajst-19342 95 7 /s /s PUNCT ajst-19342 95 8 of of ADP ajst-19342 95 9 tm tm PROPN ajst-19342 95 10 ax ax NOUN ajst-19342 95 11 fc fc PROPN ajst-19342 96 1 n n PROPN ajst-19342 96 2 d d PROPN ajst-19342 96 3 ro ro X ajst-19342 96 4 po po PROPN ajst-19342 96 5 ut ut PROPN ajst-19342 96 6 l l PROPN ajst-19342 96 7 ea ea PROPN ajst-19342 97 1 ky ky PROPN ajst-19342 97 2 r r PROPN ajst-19342 97 3 el el PROPN ajst-19342 97 4 u u PROPN ajst-19342 97 5 fc fc PROPN ajst-19342 97 6 n n PROPN ajst-19342 97 7 d d PROPN ajst-19342 97 8 ro ro X ajst-19342 97 9 po po PROPN ajst-19342 97 10 ut ut PROPN ajst-19342 97 11 l l PROPN ajst-19342 97 12 ea ea PROPN ajst-19342 98 1 ky ky PROPN ajst-19342 98 2 r r PROPN ajst-19342 98 3 el el PROPN ajst-19342 98 4 u u PROPN ajst-19342 98 5 fc fc PROPN ajst-19342 98 6 n n PROPN ajst-19342 98 7 fc fc PROPN ajst-19342 98 8 n n PROPN ajst-19342 98 9 d d PROPN ajst-19342 98 10 ro ro X ajst-19342 98 11 po po PROPN ajst-19342 98 12 ut ut PROPN ajst-19342 98 13 l l PROPN ajst-19342 98 14 ea ea PROPN ajst-19342 99 1 ky ky PROPN ajst-19342 99 2 r r PROPN ajst-19342 99 3 el el PROPN ajst-19342 99 4 u u PROPN ajst-19342 99 5 fc fc PROPN ajst-19342 99 6 n n PROPN ajst-19342 99 7 d d PROPN ajst-19342 99 8 ro ro X ajst-19342 99 9 po po PROPN ajst-19342 99 10 ut ut PROPN ajst-19342 99 11 l l PROPN ajst-19342 99 12 ea ea PROPN ajst-19342 100 1 ky ky PROPN ajst-19342 100 2 r r PROPN ajst-19342 100 3 el el PROPN ajst-19342 100 4 u u PROPN ajst-19342 100 5 fc fc PROPN ajst-19342 100 6 n n INTJ ajst-19342 100 7 si si INTJ ajst-19342 100 8 gm gm PROPN ajst-19342 100 9 oi oi INTJ ajst-19342 100 10 d d PRON ajst-19342 100 11 figure figure NOUN ajst-19342 100 12 2 2 NUM ajst-19342 100 13 . . PUNCT ajst-19342 100 14 network network NOUN ajst-19342 100 15 structure structure NOUN ajst-19342 100 16 of of ADP ajst-19342 100 17 dp dp NOUN ajst-19342 100 18 - - PUNCT ajst-19342 100 19 actgan actgan ADJ ajst-19342 100 20 4 4 NUM ajst-19342 100 21 . . PUNCT ajst-19342 101 1 experiments experiment NOUN ajst-19342 101 2 table table VERB ajst-19342 101 3 1 1 NUM ajst-19342 101 4 . . PUNCT ajst-19342 102 1 datasets dataset NOUN ajst-19342 102 2 description description NOUN ajst-19342 102 3 datasets dataset NOUN ajst-19342 102 4 samples sample VERB ajst-19342 102 5 pulmonary pulmonary ADJ ajst-19342 102 6 complications complication NOUN ajst-19342 102 7 17356 17356 NUM ajst-19342 102 8 icu icu PROPN ajst-19342 102 9 admission admission NOUN ajst-19342 102 10 12240 12240 NUM ajst-19342 102 11 cardiovascular cardiovascular ADJ ajst-19342 102 12 adverse adverse ADJ ajst-19342 102 13 events event NOUN ajst-19342 102 14 17356 17356 NUM ajst-19342 102 15 the the DET ajst-19342 102 16 experiments experiment NOUN ajst-19342 102 17 in in ADP ajst-19342 102 18 this this DET ajst-19342 102 19 paper paper NOUN ajst-19342 102 20 validate validate VERB ajst-19342 102 21 the the DET ajst-19342 102 22 utility utility NOUN ajst-19342 102 23 of of ADP ajst-19342 102 24 the the DET ajst-19342 102 25 generated generate VERB ajst-19342 102 26 data datum NOUN ajst-19342 102 27 , , PUNCT ajst-19342 102 28 statistical statistical ADJ ajst-19342 102 29 similarity similarity NOUN ajst-19342 102 30 between between ADP ajst-19342 102 31 real real ADJ ajst-19342 102 32 data datum NOUN ajst-19342 102 33 and and CCONJ ajst-19342 102 34 generated generate VERB ajst-19342 102 35 data datum NOUN ajst-19342 102 36 , , PUNCT ajst-19342 102 37 and and CCONJ ajst-19342 102 38 the the DET ajst-19342 102 39 privacy privacy NOUN ajst-19342 102 40 protection protection NOUN ajst-19342 102 41 of of ADP ajst-19342 102 42 the the DET ajst-19342 102 43 real real ADJ ajst-19342 102 44 data datum NOUN ajst-19342 102 45 . . PUNCT ajst-19342 103 1 the the DET ajst-19342 103 2 experiments experiment NOUN ajst-19342 103 3 use use VERB ajst-19342 103 4 data datum NOUN ajst-19342 103 5 from from ADP ajst-19342 103 6 a a DET ajst-19342 103 7 hospital hospital NOUN ajst-19342 103 8 database database NOUN ajst-19342 103 9 . . PUNCT ajst-19342 104 1 4.1 4.1 NUM ajst-19342 104 2 . . PUNCT ajst-19342 104 3 evaluation evaluation NOUN ajst-19342 104 4 metrics metric NOUN ajst-19342 104 5 4.1.1 4.1.1 NUM ajst-19342 104 6 . . PUNCT ajst-19342 105 1 machine machine NOUN ajst-19342 105 2 learning learn VERB ajst-19342 105 3 utility utility NOUN ajst-19342 105 4 machine machine NOUN ajst-19342 105 5 learning learn VERB ajst-19342 105 6 utility utility NOUN ajst-19342 105 7 means mean VERB ajst-19342 105 8 dividing divide VERB ajst-19342 105 9 the the DET ajst-19342 105 10 original original ADJ ajst-19342 105 11 data datum NOUN ajst-19342 105 12 into into ADP ajst-19342 105 13 a a DET ajst-19342 105 14 training training NOUN ajst-19342 105 15 set set NOUN ajst-19342 105 16 and and CCONJ ajst-19342 105 17 a a DET ajst-19342 105 18 test test NOUN ajst-19342 105 19 set set VERB ajst-19342 105 20 in in ADP ajst-19342 105 21 a a DET ajst-19342 105 22 7:3 7:3 NUM ajst-19342 105 23 ratio ratio NOUN ajst-19342 105 24 . . PUNCT ajst-19342 106 1 first first ADV ajst-19342 106 2 , , PUNCT ajst-19342 106 3 we we PRON ajst-19342 106 4 train train VERB ajst-19342 106 5 a a DET ajst-19342 106 6 gan gan ADJ ajst-19342 106 7 model model NOUN ajst-19342 106 8 and and CCONJ ajst-19342 106 9 a a DET ajst-19342 106 10 prediction prediction NOUN ajst-19342 106 11 classifier classifier NOUN ajst-19342 106 12 using use VERB ajst-19342 106 13 the the DET ajst-19342 106 14 training training NOUN ajst-19342 106 15 set set NOUN ajst-19342 106 16 . . PUNCT ajst-19342 107 1 then then ADV ajst-19342 107 2 , , PUNCT ajst-19342 107 3 we we PRON ajst-19342 107 4 use use VERB ajst-19342 107 5 the the DET ajst-19342 107 6 gan gan NOUN ajst-19342 107 7 to to PART ajst-19342 107 8 generate generate VERB ajst-19342 107 9 data datum NOUN ajst-19342 107 10 and and CCONJ ajst-19342 107 11 train train VERB ajst-19342 107 12 another another DET ajst-19342 107 13 classifier classifier NOUN ajst-19342 107 14 with with ADP ajst-19342 107 15 this this DET ajst-19342 107 16 synthetic synthetic ADJ ajst-19342 107 17 data datum NOUN ajst-19342 107 18 . . PUNCT ajst-19342 108 1 finally finally ADV ajst-19342 108 2 , , PUNCT ajst-19342 108 3 we we PRON ajst-19342 108 4 evaluate evaluate VERB ajst-19342 108 5 both both DET ajst-19342 108 6 sets set NOUN ajst-19342 108 7 of of ADP ajst-19342 108 8 classifiers classifier NOUN ajst-19342 108 9 using use VERB ajst-19342 108 10 the the DET ajst-19342 108 11 real real ADJ ajst-19342 108 12 test test NOUN ajst-19342 108 13 set set VERB ajst-19342 108 14 data datum NOUN ajst-19342 108 15 to to PART ajst-19342 108 16 compare compare VERB ajst-19342 108 17 their their PRON ajst-19342 108 18 performance performance NOUN ajst-19342 108 19 , , PUNCT ajst-19342 108 20 which which PRON ajst-19342 108 21 assesses assess VERB ajst-19342 108 22 the the DET ajst-19342 108 23 utility utility NOUN ajst-19342 108 24 of of ADP ajst-19342 108 25 the the DET ajst-19342 108 26 generated generate VERB ajst-19342 108 27 data datum NOUN ajst-19342 108 28 . . PUNCT ajst-19342 109 1 in in ADP ajst-19342 109 2 the the DET ajst-19342 109 3 classification classification NOUN ajst-19342 109 4 model model NOUN ajst-19342 109 5 , , PUNCT ajst-19342 109 6 we we PRON ajst-19342 109 7 use use VERB ajst-19342 109 8 f1 f1 NOUN ajst-19342 109 9 score score NOUN ajst-19342 109 10 to to PART ajst-19342 109 11 measure measure VERB ajst-19342 109 12 the the DET ajst-19342 109 13 model model NOUN ajst-19342 109 14 's 's PART ajst-19342 109 15 performance performance NOUN ajst-19342 109 16 . . PUNCT ajst-19342 110 1 this this DET ajst-19342 110 2 metric metric ADJ ajst-19342 110 3 measures measure NOUN ajst-19342 110 4 the the DET ajst-19342 110 5 utility utility NOUN ajst-19342 110 6 of of ADP ajst-19342 110 7 the the DET ajst-19342 110 8 generated generate VERB ajst-19342 110 9 data datum NOUN ajst-19342 110 10 . . PUNCT ajst-19342 111 1 4.1.2 4.1.2 X ajst-19342 111 2 . . PUNCT ajst-19342 111 3 statistical statistical ADJ ajst-19342 111 4 similarity similarity NOUN ajst-19342 111 5 this this DET ajst-19342 111 6 study study NOUN ajst-19342 111 7 measures measure VERB ajst-19342 111 8 the the DET ajst-19342 111 9 statistical statistical ADJ ajst-19342 111 10 similarity similarity NOUN ajst-19342 111 11 between between ADP ajst-19342 111 12 real real ADJ ajst-19342 111 13 and and CCONJ ajst-19342 111 14 generated generate VERB ajst-19342 111 15 data datum NOUN ajst-19342 111 16 using use VERB ajst-19342 111 17 two two NUM ajst-19342 111 18 metrics metric NOUN ajst-19342 111 19 : : PUNCT ajst-19342 111 20 jensen jensen PROPN ajst-19342 111 21 - - PUNCT ajst-19342 111 22 shannon shannon PROPN ajst-19342 111 23 divergence divergence NOUN ajst-19342 111 24 [ [ X ajst-19342 111 25 21 21 NUM ajst-19342 111 26 ] ] PUNCT ajst-19342 111 27 and and CCONJ ajst-19342 111 28 wasserstein wasserstein PROPN ajst-19342 111 29 distance distance NOUN ajst-19342 111 30 [ [ X ajst-19342 111 31 22 22 NUM ajst-19342 111 32 ] ] PUNCT ajst-19342 111 33 . . PUNCT ajst-19342 112 1 by by ADP ajst-19342 112 2 using use VERB ajst-19342 112 3 both both DET ajst-19342 112 4 metrics metric NOUN ajst-19342 112 5 together together ADV ajst-19342 112 6 , , PUNCT ajst-19342 112 7 we we PRON ajst-19342 112 8 can can AUX ajst-19342 112 9 more more ADV ajst-19342 112 10 comprehensively comprehensively ADV ajst-19342 112 11 assess assess VERB ajst-19342 112 12 the the DET ajst-19342 112 13 statistical statistical ADJ ajst-19342 112 14 similarity similarity NOUN ajst-19342 112 15 between between ADP ajst-19342 112 16 the the DET ajst-19342 112 17 generated generate VERB ajst-19342 112 18 and and CCONJ ajst-19342 112 19 real real ADJ ajst-19342 112 20 data datum NOUN ajst-19342 112 21 , , PUNCT ajst-19342 112 22 providing provide VERB ajst-19342 112 23 deeper deep ADJ ajst-19342 112 24 insights insight NOUN ajst-19342 112 25 into into ADP ajst-19342 112 26 the the DET ajst-19342 112 27 study study NOUN ajst-19342 112 28 of of ADP ajst-19342 112 29 the the DET ajst-19342 112 30 generated generate VERB ajst-19342 112 31 data datum NOUN ajst-19342 112 32 . . PUNCT ajst-19342 113 1 jensen jensen PROPN ajst-19342 113 2 - - PUNCT ajst-19342 113 3 shannon shannon PROPN ajst-19342 113 4 divergence divergence PROPN ajst-19342 113 5 ( ( PUNCT ajst-19342 113 6 jsd jsd PROPN ajst-19342 113 7 ) ) PUNCT ajst-19342 113 8 is be AUX ajst-19342 113 9 a a DET ajst-19342 113 10 measure measure NOUN ajst-19342 113 11 of of ADP ajst-19342 113 12 the the DET ajst-19342 113 13 difference difference NOUN ajst-19342 113 14 between between ADP ajst-19342 113 15 two two NUM ajst-19342 113 16 probability probability NOUN ajst-19342 113 17 distributions distribution NOUN ajst-19342 113 18 , , PUNCT ajst-19342 113 19 with with ADP ajst-19342 113 20 values value NOUN ajst-19342 113 21 ranging range VERB ajst-19342 113 22 from from ADP ajst-19342 113 23 0 0 NUM ajst-19342 113 24 to to ADP ajst-19342 113 25 1 1 NUM ajst-19342 113 26 . . PUNCT ajst-19342 114 1 a a DET ajst-19342 114 2 jsd jsd NOUN ajst-19342 114 3 of of ADP ajst-19342 114 4 0 0 NUM ajst-19342 114 5 indicates indicate VERB ajst-19342 114 6 identical identical ADJ ajst-19342 114 7 probability probability NOUN ajst-19342 114 8 distributions distribution NOUN ajst-19342 114 9 between between ADP ajst-19342 114 10 two two NUM ajst-19342 114 11 datasets dataset NOUN ajst-19342 114 12 , , PUNCT ajst-19342 114 13 while while SCONJ ajst-19342 114 14 a a DET ajst-19342 114 15 jsd jsd NOUN ajst-19342 114 16 of of ADP ajst-19342 114 17 1 1 NUM ajst-19342 114 18 indicates indicate VERB ajst-19342 114 19 completely completely ADV ajst-19342 114 20 different different ADJ ajst-19342 114 21 distributions distribution NOUN ajst-19342 114 22 . . PUNCT ajst-19342 115 1 in in ADP ajst-19342 115 2 machine machine NOUN ajst-19342 115 3 learning learning NOUN ajst-19342 115 4 , , PUNCT ajst-19342 115 5 jsd jsd PROPN ajst-19342 115 6 is be AUX ajst-19342 115 7 often often ADV ajst-19342 115 8 used use VERB ajst-19342 115 9 to to PART ajst-19342 115 10 measure measure VERB ajst-19342 115 11 differences difference NOUN ajst-19342 115 12 in in ADP ajst-19342 115 13 probability probability NOUN ajst-19342 115 14 distributions distribution NOUN ajst-19342 115 15 between between ADP ajst-19342 115 16 datasets dataset NOUN ajst-19342 115 17 . . PUNCT ajst-19342 116 1 in in ADP ajst-19342 116 2 this this DET ajst-19342 116 3 paper paper NOUN ajst-19342 116 4 , , PUNCT ajst-19342 116 5 the the PRON ajst-19342 116 6 smaller small ADJ ajst-19342 116 7 the the DET ajst-19342 116 8 jsd jsd PROPN ajst-19342 116 9 value value NOUN ajst-19342 116 10 , , PUNCT ajst-19342 116 11 the the PRON ajst-19342 116 12 smaller small ADJ ajst-19342 116 13 the the DET ajst-19342 116 14 difference difference NOUN ajst-19342 116 15 in in ADP ajst-19342 116 16 probability probability NOUN ajst-19342 116 17 distribution distribution NOUN ajst-19342 116 18 between between ADP ajst-19342 116 19 the the DET ajst-19342 116 20 generated generate VERB ajst-19342 116 21 dataset dataset NOUN ajst-19342 116 22 and and CCONJ ajst-19342 116 23 the the DET ajst-19342 116 24 real real ADJ ajst-19342 116 25 data datum NOUN ajst-19342 116 26 , , PUNCT ajst-19342 116 27 448 448 NUM ajst-19342 116 28 indicating indicate VERB ajst-19342 116 29 better well ADJ ajst-19342 116 30 generation generation NOUN ajst-19342 116 31 quality quality NOUN ajst-19342 116 32 . . PUNCT ajst-19342 117 1 the the DET ajst-19342 117 2 formula formula NOUN ajst-19342 117 3 for for ADP ajst-19342 117 4 jsd jsd PROPN ajst-19342 117 5 is be AUX ajst-19342 117 6 shown show VERB ajst-19342 117 7 as as ADP ajst-19342 117 8 equation equation NOUN ajst-19342 117 9 4 4 NUM ajst-19342 117 10 , , PUNCT ajst-19342 117 11 where where SCONJ ajst-19342 117 12 p p NOUN ajst-19342 117 13 and and CCONJ ajst-19342 117 14 q q PROPN ajst-19342 117 15 represent represent VERB ajst-19342 117 16 the the DET ajst-19342 117 17 probability probability NOUN ajst-19342 117 18 distributions distribution NOUN ajst-19342 117 19 of of ADP ajst-19342 117 20 the the DET ajst-19342 117 21 real real ADJ ajst-19342 117 22 and and CCONJ ajst-19342 117 23 generated generated ADJ ajst-19342 117 24 datasets dataset NOUN ajst-19342 117 25 , , PUNCT ajst-19342 117 26 respectively respectively ADV ajst-19342 117 27 . . PUNCT ajst-19342 118 1 ๐ฝ๐‘†๐ท ๐ฝ๐‘†๐ท PROPN ajst-19342 118 2 ๐‘ƒ ๐‘ƒ PROPN ajst-19342 118 3 โˆฅ โˆฅ NUM ajst-19342 118 4 ๐‘„ ๐‘„ NOUN ajst-19342 118 5 โˆ‘๐‘ โˆ‘๐‘ PROPN ajst-19342 119 1 ๐‘ฅ ๐‘ฅ X ajst-19342 119 2 log log VERB ajst-19342 119 3 โˆ‘๐‘ž โˆ‘๐‘ž PROPN ajst-19342 119 4 ๐‘ฅ ๐‘ฅ NOUN ajst-19342 120 1 log log NOUN ajst-19342 120 2 ( ( PUNCT ajst-19342 120 3 4 4 NUM ajst-19342 120 4 ) ) PUNCT ajst-19342 120 5 the the DET ajst-19342 120 6 wasserstein wasserstein NOUN ajst-19342 120 7 distance distance NOUN ajst-19342 120 8 ( ( PUNCT ajst-19342 120 9 wd wd PROPN ajst-19342 120 10 ) ) PUNCT ajst-19342 120 11 is be AUX ajst-19342 120 12 a a DET ajst-19342 120 13 metric metric ADJ ajst-19342 120 14 used use VERB ajst-19342 120 15 to to PART ajst-19342 120 16 measure measure VERB ajst-19342 120 17 the the DET ajst-19342 120 18 similarity similarity NOUN ajst-19342 120 19 of of ADP ajst-19342 120 20 two two NUM ajst-19342 120 21 probability probability NOUN ajst-19342 120 22 distributions distribution NOUN ajst-19342 120 23 , , PUNCT ajst-19342 120 24 where where SCONJ ajst-19342 120 25 a a DET ajst-19342 120 26 smaller small ADJ ajst-19342 120 27 value value NOUN ajst-19342 120 28 indicates indicate VERB ajst-19342 120 29 more more ADJ ajst-19342 120 30 similarity similarity NOUN ajst-19342 120 31 . . PUNCT ajst-19342 121 1 unlike unlike ADP ajst-19342 121 2 other other ADJ ajst-19342 121 3 distance distance NOUN ajst-19342 121 4 measures measure NOUN ajst-19342 121 5 , , PUNCT ajst-19342 121 6 the the DET ajst-19342 121 7 wasserstein wasserstein NOUN ajst-19342 121 8 distance distance NOUN ajst-19342 121 9 can can AUX ajst-19342 121 10 handle handle VERB ajst-19342 121 11 probability probability NOUN ajst-19342 121 12 distributions distribution NOUN ajst-19342 121 13 with with ADP ajst-19342 121 14 different different ADJ ajst-19342 121 15 supports support NOUN ajst-19342 121 16 , , PUNCT ajst-19342 121 17 not not PART ajst-19342 121 18 just just ADV ajst-19342 121 19 measuring measure VERB ajst-19342 121 20 distance distance NOUN ajst-19342 121 21 over over ADP ajst-19342 121 22 a a DET ajst-19342 121 23 common common ADJ ajst-19342 121 24 set set NOUN ajst-19342 121 25 . . PUNCT ajst-19342 122 1 in in ADP ajst-19342 122 2 this this DET ajst-19342 122 3 paper paper NOUN ajst-19342 122 4 , , PUNCT ajst-19342 122 5 the the PRON ajst-19342 122 6 smaller small ADJ ajst-19342 122 7 the the DET ajst-19342 122 8 wd wd PROPN ajst-19342 122 9 value value NOUN ajst-19342 122 10 , , PUNCT ajst-19342 122 11 the the DET ajst-19342 122 12 less less ADJ ajst-19342 122 13 difference difference NOUN ajst-19342 122 14 there there PRON ajst-19342 122 15 is be VERB ajst-19342 122 16 between between ADP ajst-19342 122 17 the the DET ajst-19342 122 18 generated generate VERB ajst-19342 122 19 dataset dataset NOUN ajst-19342 122 20 and and CCONJ ajst-19342 122 21 the the DET ajst-19342 122 22 real real ADJ ajst-19342 122 23 data datum NOUN ajst-19342 122 24 , , PUNCT ajst-19342 122 25 indicating indicate VERB ajst-19342 122 26 better well ADJ ajst-19342 122 27 generation generation NOUN ajst-19342 122 28 quality quality NOUN ajst-19342 122 29 . . PUNCT ajst-19342 123 1 the the DET ajst-19342 123 2 formula formula NOUN ajst-19342 123 3 for for ADP ajst-19342 123 4 wd wd PROPN ajst-19342 123 5 is be AUX ajst-19342 123 6 shown show VERB ajst-19342 123 7 as as ADP ajst-19342 123 8 equation equation NOUN ajst-19342 123 9 5 5 NUM ajst-19342 123 10 . . PUNCT ajst-19342 124 1 here here ADV ajst-19342 124 2 , , PUNCT ajst-19342 124 3 p p NOUN ajst-19342 124 4 and and CCONJ ajst-19342 124 5 q q NOUN ajst-19342 124 6 are be AUX ajst-19342 124 7 the the DET ajst-19342 124 8 probability probability NOUN ajst-19342 124 9 distributions distribution NOUN ajst-19342 124 10 of of ADP ajst-19342 124 11 the the DET ajst-19342 124 12 real real ADJ ajst-19342 124 13 and and CCONJ ajst-19342 124 14 generated generated ADJ ajst-19342 124 15 datasets dataset NOUN ajst-19342 124 16 , , PUNCT ajst-19342 124 17 respectively respectively ADV ajst-19342 124 18 , , PUNCT ajst-19342 124 19 and and CCONJ ajst-19342 124 20 โˆ โˆ PROPN ajst-19342 124 21 p p NOUN ajst-19342 124 22 , , PUNCT ajst-19342 124 23 q q PUNCT ajst-19342 124 24 represents represent VERB ajst-19342 124 25 the the DET ajst-19342 124 26 set set NOUN ajst-19342 124 27 of of ADP ajst-19342 124 28 all all DET ajst-19342 124 29 possible possible ADJ ajst-19342 124 30 joint joint ADJ ajst-19342 124 31 distributions distribution NOUN ajst-19342 124 32 combining combine VERB ajst-19342 124 33 p p NOUN ajst-19342 124 34 and and CCONJ ajst-19342 124 35 q. q. VERB ajst-19342 124 36 the the DET ajst-19342 124 37 application application NOUN ajst-19342 124 38 of of ADP ajst-19342 124 39 these these DET ajst-19342 124 40 two two NUM ajst-19342 124 41 metrics metric NOUN ajst-19342 124 42 helps help VERB ajst-19342 124 43 to to PART ajst-19342 124 44 quantify quantify VERB ajst-19342 124 45 the the DET ajst-19342 124 46 similarity similarity NOUN ajst-19342 124 47 between between ADP ajst-19342 124 48 the the DET ajst-19342 124 49 generated generate VERB ajst-19342 124 50 data datum NOUN ajst-19342 124 51 and and CCONJ ajst-19342 124 52 real real ADJ ajst-19342 124 53 data datum NOUN ajst-19342 124 54 , , PUNCT ajst-19342 124 55 providing provide VERB ajst-19342 124 56 a a DET ajst-19342 124 57 powerful powerful ADJ ajst-19342 124 58 tool tool NOUN ajst-19342 124 59 for for ADP ajst-19342 124 60 evaluating evaluate VERB ajst-19342 124 61 generative generative ADJ ajst-19342 124 62 models model NOUN ajst-19342 124 63 . . PUNCT ajst-19342 125 1 wd wd PROPN ajst-19342 125 2 p p X ajst-19342 125 3 , , PUNCT ajst-19342 125 4 q q X ajst-19342 125 5 ๐‘–๐‘›๐‘“ ๐‘–๐‘›๐‘“ X ajst-19342 125 6 โˆผโˆ โˆผโˆ NUM ajst-19342 125 7 , , PUNCT ajst-19342 125 8 โ€Š โ€Š SPACE ajst-19342 125 9 e e NOUN ajst-19342 125 10 , , PUNCT ajst-19342 125 11 โˆผ โˆผ VERB ajst-19342 125 12 โˆฅ โˆฅ NOUN ajst-19342 125 13 x x PUNCT ajst-19342 125 14 y y NOUN ajst-19342 125 15 โˆฅ โˆฅ PROPN ajst-19342 125 16 ( ( PUNCT ajst-19342 125 17 5 5 NUM ajst-19342 125 18 ) ) PUNCT ajst-19342 125 19 4.1.3 4.1.3 NUM ajst-19342 125 20 . . PUNCT ajst-19342 125 21 privacy privacy NOUN ajst-19342 125 22 metrics metric NOUN ajst-19342 125 23 this this DET ajst-19342 125 24 study study NOUN ajst-19342 125 25 used use VERB ajst-19342 125 26 two two NUM ajst-19342 125 27 methods method NOUN ajst-19342 125 28 to to PART ajst-19342 125 29 verify verify VERB ajst-19342 125 30 the the DET ajst-19342 125 31 privacy privacy NOUN ajst-19342 125 32 protection protection NOUN ajst-19342 125 33 of of ADP ajst-19342 125 34 the the DET ajst-19342 125 35 generated generate VERB ajst-19342 125 36 data datum NOUN ajst-19342 125 37 for for ADP ajst-19342 125 38 the the DET ajst-19342 125 39 real real ADJ ajst-19342 125 40 data datum NOUN ajst-19342 125 41 : : PUNCT ajst-19342 125 42 distance distance NOUN ajst-19342 125 43 to to ADP ajst-19342 125 44 closest close ADJ ajst-19342 125 45 record record NOUN ajst-19342 125 46 [ [ X ajst-19342 125 47 23 23 NUM ajst-19342 125 48 ] ] PUNCT ajst-19342 125 49 and and CCONJ ajst-19342 125 50 membership membership NOUN ajst-19342 125 51 inference inference NOUN ajst-19342 125 52 attack attack NOUN ajst-19342 125 53 [ [ X ajst-19342 125 54 24 24 NUM ajst-19342 125 55 ] ] PUNCT ajst-19342 125 56 . . PUNCT ajst-19342 126 1 distance distance NOUN ajst-19342 126 2 to to ADP ajst-19342 126 3 closest close ADJ ajst-19342 126 4 record record NOUN ajst-19342 126 5 ( ( PUNCT ajst-19342 126 6 dcr dcr NOUN ajst-19342 126 7 ) ) PUNCT ajst-19342 126 8 measures measure NOUN ajst-19342 126 9 how how SCONJ ajst-19342 126 10 susceptible susceptible ADJ ajst-19342 126 11 the the DET ajst-19342 126 12 generated generate VERB ajst-19342 126 13 data data NOUN ajst-19342 126 14 is be AUX ajst-19342 126 15 to to PART ajst-19342 126 16 re re VERB ajst-19342 126 17 - - NOUN ajst-19342 126 18 identification identification NOUN ajst-19342 126 19 attacks attack NOUN ajst-19342 126 20 . . PUNCT ajst-19342 127 1 dcr dcr PROPN ajst-19342 127 2 refers refer VERB ajst-19342 127 3 to to ADP ajst-19342 127 4 the the DET ajst-19342 127 5 shortest short ADJ ajst-19342 127 6 distance distance NOUN ajst-19342 127 7 from from ADP ajst-19342 127 8 data datum NOUN ajst-19342 127 9 points point NOUN ajst-19342 127 10 in in ADP ajst-19342 127 11 dataset dataset NOUN ajst-19342 127 12 a a PRON ajst-19342 127 13 to to ADP ajst-19342 127 14 data datum NOUN ajst-19342 127 15 points point NOUN ajst-19342 127 16 in in ADP ajst-19342 127 17 dataset dataset PROPN ajst-19342 127 18 b b PROPN ajst-19342 127 19 , , PUNCT ajst-19342 127 20 calculated calculate VERB ajst-19342 127 21 using use VERB ajst-19342 127 22 the the DET ajst-19342 127 23 euclidean euclidean ADJ ajst-19342 127 24 distance distance NOUN ajst-19342 127 25 . . PUNCT ajst-19342 128 1 a a DET ajst-19342 128 2 smaller small ADJ ajst-19342 128 3 dcr dcr NOUN ajst-19342 128 4 value value NOUN ajst-19342 128 5 indicates indicate VERB ajst-19342 128 6 poorer poor ADJ ajst-19342 128 7 privacy privacy NOUN ajst-19342 128 8 protection protection NOUN ajst-19342 128 9 of of ADP ajst-19342 128 10 the the DET ajst-19342 128 11 generated generate VERB ajst-19342 128 12 data datum NOUN ajst-19342 128 13 , , PUNCT ajst-19342 128 14 potentially potentially ADV ajst-19342 128 15 exposing expose VERB ajst-19342 128 16 real real ADJ ajst-19342 128 17 information information NOUN ajst-19342 128 18 , , PUNCT ajst-19342 128 19 while while SCONJ ajst-19342 128 20 a a DET ajst-19342 128 21 larger large ADJ ajst-19342 128 22 dcr dcr NOUN ajst-19342 128 23 value value NOUN ajst-19342 128 24 suggests suggest VERB ajst-19342 128 25 better well ADJ ajst-19342 128 26 privacy privacy NOUN ajst-19342 128 27 protection protection NOUN ajst-19342 128 28 . . PUNCT ajst-19342 129 1 in in ADP ajst-19342 129 2 experiments experiment NOUN ajst-19342 129 3 , , PUNCT ajst-19342 129 4 for for ADP ajst-19342 129 5 each each DET ajst-19342 129 6 piece piece NOUN ajst-19342 129 7 of of ADP ajst-19342 129 8 generated generate VERB ajst-19342 129 9 data datum NOUN ajst-19342 129 10 , , PUNCT ajst-19342 129 11 we we PRON ajst-19342 129 12 select select VERB ajst-19342 129 13 the the DET ajst-19342 129 14 closest close ADJ ajst-19342 129 15 10 10 NUM ajst-19342 129 16 real real ADJ ajst-19342 129 17 data datum NOUN ajst-19342 129 18 points point NOUN ajst-19342 129 19 , , PUNCT ajst-19342 129 20 average average VERB ajst-19342 129 21 their their PRON ajst-19342 129 22 distances distance NOUN ajst-19342 129 23 , , PUNCT ajst-19342 129 24 and and CCONJ ajst-19342 129 25 then then ADV ajst-19342 129 26 calculate calculate VERB ajst-19342 129 27 the the DET ajst-19342 129 28 average average ADJ ajst-19342 129 29 dcr dcr PROPN ajst-19342 129 30 for for ADP ajst-19342 129 31 the the DET ajst-19342 129 32 generated generate VERB ajst-19342 129 33 dataset dataset NOUN ajst-19342 129 34 to to PART ajst-19342 129 35 get get VERB ajst-19342 129 36 an an DET ajst-19342 129 37 average average ADJ ajst-19342 129 38 dcr dcr NOUN ajst-19342 129 39 for for ADP ajst-19342 129 40 a a DET ajst-19342 129 41 dataset dataset NOUN ajst-19342 129 42 . . PUNCT ajst-19342 130 1 the the DET ajst-19342 130 2 paper paper NOUN ajst-19342 130 3 conducted conduct VERB ajst-19342 130 4 three three NUM ajst-19342 130 5 dcr dcr NOUN ajst-19342 130 6 experiments experiment NOUN ajst-19342 130 7 on on ADP ajst-19342 130 8 three three NUM ajst-19342 130 9 datasets dataset NOUN ajst-19342 130 10 to to PART ajst-19342 130 11 analyze analyze VERB ajst-19342 130 12 the the DET ajst-19342 130 13 risk risk NOUN ajst-19342 130 14 and and CCONJ ajst-19342 130 15 possibility possibility NOUN ajst-19342 130 16 of of ADP ajst-19342 130 17 privacy privacy NOUN ajst-19342 130 18 exposure exposure NOUN ajst-19342 130 19 . . PUNCT ajst-19342 131 1 membership membership NOUN ajst-19342 131 2 inference inference NOUN ajst-19342 131 3 attack attack NOUN ajst-19342 131 4 ( ( PUNCT ajst-19342 131 5 mia mia NOUN ajst-19342 131 6 ) ) PUNCT ajst-19342 131 7 aims aim VERB ajst-19342 131 8 to to PART ajst-19342 131 9 find find VERB ajst-19342 131 10 out out ADP ajst-19342 131 11 if if SCONJ ajst-19342 131 12 specific specific ADJ ajst-19342 131 13 data datum NOUN ajst-19342 131 14 was be AUX ajst-19342 131 15 used use VERB ajst-19342 131 16 to to PART ajst-19342 131 17 train train VERB ajst-19342 131 18 a a DET ajst-19342 131 19 model model NOUN ajst-19342 131 20 by by ADP ajst-19342 131 21 looking look VERB ajst-19342 131 22 at at ADP ajst-19342 131 23 the the DET ajst-19342 131 24 model model NOUN ajst-19342 131 25 's 's PART ajst-19342 131 26 outputs output NOUN ajst-19342 131 27 . . PUNCT ajst-19342 132 1 using use VERB ajst-19342 132 2 an an DET ajst-19342 132 3 mia mia NOUN ajst-19342 132 4 model model NOUN ajst-19342 132 5 that that PRON ajst-19342 132 6 targets target VERB ajst-19342 132 7 generative generative ADJ ajst-19342 132 8 models model NOUN ajst-19342 132 9 to to PART ajst-19342 132 10 assess assess VERB ajst-19342 132 11 the the DET ajst-19342 132 12 privacy privacy NOUN ajst-19342 132 13 of of ADP ajst-19342 132 14 generated generate VERB ajst-19342 132 15 data datum NOUN ajst-19342 132 16 can can AUX ajst-19342 132 17 further far ADV ajst-19342 132 18 understand understand VERB ajst-19342 132 19 how how SCONJ ajst-19342 132 20 the the DET ajst-19342 132 21 data datum NOUN ajst-19342 132 22 holds hold VERB ajst-19342 132 23 up up ADP ajst-19342 132 24 against against ADP ajst-19342 132 25 privacy privacy NOUN ajst-19342 132 26 attacks attack NOUN ajst-19342 132 27 . . PUNCT ajst-19342 133 1 this this DET ajst-19342 133 2 study study NOUN ajst-19342 133 3 used use VERB ajst-19342 133 4 a a DET ajst-19342 133 5 generative generative ADJ ajst-19342 133 6 model model NOUN ajst-19342 133 7 - - PUNCT ajst-19342 133 8 specific specific ADJ ajst-19342 133 9 mia mia PROPN ajst-19342 133 10 model model NOUN ajst-19342 133 11 , , PUNCT ajst-19342 133 12 domias domia NOUN ajst-19342 133 13 [ [ X ajst-19342 133 14 25 25 NUM ajst-19342 133 15 ] ] PUNCT ajst-19342 133 16 , , PUNCT ajst-19342 133 17 to to PART ajst-19342 133 18 simulate simulate VERB ajst-19342 133 19 potential potential ADJ ajst-19342 133 20 privacy privacy NOUN ajst-19342 133 21 attack attack NOUN ajst-19342 133 22 scenarios scenario NOUN ajst-19342 133 23 . . PUNCT ajst-19342 134 1 this this DET ajst-19342 134 2 kind kind NOUN ajst-19342 134 3 of of ADP ajst-19342 134 4 evaluation evaluation NOUN ajst-19342 134 5 helps help VERB ajst-19342 134 6 to to PART ajst-19342 134 7 fully fully ADV ajst-19342 134 8 grasp grasp VERB ajst-19342 134 9 the the DET ajst-19342 134 10 privacy privacy NOUN ajst-19342 134 11 challenges challenge NOUN ajst-19342 134 12 that that PRON ajst-19342 134 13 generated generate VERB ajst-19342 134 14 data datum NOUN ajst-19342 134 15 may may AUX ajst-19342 134 16 encounter encounter VERB ajst-19342 134 17 in in ADP ajst-19342 134 18 real real ADJ ajst-19342 134 19 - - PUNCT ajst-19342 134 20 world world NOUN ajst-19342 134 21 use use NOUN ajst-19342 134 22 , , PUNCT ajst-19342 134 23 and and CCONJ ajst-19342 134 24 gives give VERB ajst-19342 134 25 focused focused ADJ ajst-19342 134 26 advice advice NOUN ajst-19342 134 27 to to PART ajst-19342 134 28 improve improve VERB ajst-19342 134 29 the the DET ajst-19342 134 30 privacy privacy NOUN ajst-19342 134 31 features feature NOUN ajst-19342 134 32 of of ADP ajst-19342 134 33 generative generative ADJ ajst-19342 134 34 models model NOUN ajst-19342 134 35 . . PUNCT ajst-19342 135 1 the the DET ajst-19342 135 2 mia mia PROPN ajst-19342 135 3 model model PROPN ajst-19342 135 4 uses use VERB ajst-19342 135 5 accuracy accuracy NOUN ajst-19342 135 6 as as ADP ajst-19342 135 7 an an DET ajst-19342 135 8 evaluation evaluation NOUN ajst-19342 135 9 metric metric NOUN ajst-19342 135 10 , , PUNCT ajst-19342 135 11 which which PRON ajst-19342 135 12 is be AUX ajst-19342 135 13 a a DET ajst-19342 135 14 measure measure NOUN ajst-19342 135 15 of of ADP ajst-19342 135 16 how how SCONJ ajst-19342 135 17 well well ADV ajst-19342 135 18 a a DET ajst-19342 135 19 classification classification NOUN ajst-19342 135 20 model model NOUN ajst-19342 135 21 performs perform VERB ajst-19342 135 22 , , PUNCT ajst-19342 135 23 ranging range VERB ajst-19342 135 24 from from ADP ajst-19342 135 25 0 0 NUM ajst-19342 135 26 to to ADP ajst-19342 135 27 1 1 NUM ajst-19342 135 28 . . PUNCT ajst-19342 136 1 a a DET ajst-19342 136 2 value value NOUN ajst-19342 136 3 closer close ADV ajst-19342 136 4 to to PART ajst-19342 136 5 1 1 NUM ajst-19342 136 6 means mean VERB ajst-19342 136 7 better well ADJ ajst-19342 136 8 model model NOUN ajst-19342 136 9 performance performance NOUN ajst-19342 136 10 , , PUNCT ajst-19342 136 11 while while SCONJ ajst-19342 136 12 a a DET ajst-19342 136 13 value value NOUN ajst-19342 136 14 closer close ADV ajst-19342 136 15 to to ADP ajst-19342 136 16 0 0 NUM ajst-19342 136 17 indicates indicate VERB ajst-19342 136 18 poorer poor ADJ ajst-19342 136 19 classification classification NOUN ajst-19342 136 20 performance performance NOUN ajst-19342 136 21 . . PUNCT ajst-19342 137 1 in in ADP ajst-19342 137 2 the the DET ajst-19342 137 3 mia mia PROPN ajst-19342 137 4 model model PROPN ajst-19342 137 5 , , PUNCT ajst-19342 137 6 a a DET ajst-19342 137 7 lower low ADJ ajst-19342 137 8 accuracy accuracy NOUN ajst-19342 137 9 value value NOUN ajst-19342 137 10 suggests suggest VERB ajst-19342 137 11 that that SCONJ ajst-19342 137 12 it it PRON ajst-19342 137 13 's be AUX ajst-19342 137 14 harder hard ADJ ajst-19342 137 15 for for SCONJ ajst-19342 137 16 an an DET ajst-19342 137 17 attacker attacker NOUN ajst-19342 137 18 to to PART ajst-19342 137 19 correctly correctly ADV ajst-19342 137 20 identify identify VERB ajst-19342 137 21 the the DET ajst-19342 137 22 training training NOUN ajst-19342 137 23 data datum NOUN ajst-19342 137 24 of of ADP ajst-19342 137 25 the the DET ajst-19342 137 26 generative generative ADJ ajst-19342 137 27 model model NOUN ajst-19342 137 28 from from ADP ajst-19342 137 29 the the DET ajst-19342 137 30 generated generate VERB ajst-19342 137 31 data datum NOUN ajst-19342 137 32 , , PUNCT ajst-19342 137 33 meaning mean VERB ajst-19342 137 34 better well ADJ ajst-19342 137 35 privacy privacy NOUN ajst-19342 137 36 protection protection NOUN ajst-19342 137 37 against against ADP ajst-19342 137 38 membership membership NOUN ajst-19342 137 39 inference inference NOUN ajst-19342 137 40 attacks attack NOUN ajst-19342 137 41 . . PUNCT ajst-19342 138 1 if if SCONJ ajst-19342 138 2 the the DET ajst-19342 138 3 accuracy accuracy NOUN ajst-19342 138 4 is be AUX ajst-19342 138 5 higher high ADJ ajst-19342 138 6 , , PUNCT ajst-19342 138 7 it it PRON ajst-19342 138 8 means mean VERB ajst-19342 138 9 the the DET ajst-19342 138 10 mia mia PROPN ajst-19342 138 11 model model NOUN ajst-19342 138 12 can can AUX ajst-19342 138 13 more more ADV ajst-19342 138 14 accurately accurately ADV ajst-19342 138 15 identify identify VERB ajst-19342 138 16 the the DET ajst-19342 138 17 source source NOUN ajst-19342 138 18 of of ADP ajst-19342 138 19 the the DET ajst-19342 138 20 generated generate VERB ajst-19342 138 21 data datum NOUN ajst-19342 138 22 , , PUNCT ajst-19342 138 23 which which PRON ajst-19342 138 24 could could AUX ajst-19342 138 25 pose pose VERB ajst-19342 138 26 a a DET ajst-19342 138 27 privacy privacy NOUN ajst-19342 138 28 risk risk NOUN ajst-19342 138 29 to to ADP ajst-19342 138 30 the the DET ajst-19342 138 31 real real ADJ ajst-19342 138 32 data datum NOUN ajst-19342 138 33 . . PUNCT ajst-19342 139 1 4.2 4.2 NUM ajst-19342 139 2 . . PUNCT ajst-19342 139 3 experiment experiment NOUN ajst-19342 139 4 setup setup NOUN ajst-19342 139 5 we we PRON ajst-19342 139 6 compared compare VERB ajst-19342 139 7 dp dp ADJ ajst-19342 139 8 - - PUNCT ajst-19342 139 9 actgan actgan ADJ ajst-19342 139 10 with with ADP ajst-19342 139 11 the the DET ajst-19342 139 12 ctgan ctgan ADJ ajst-19342 139 13 model model NOUN ajst-19342 139 14 and and CCONJ ajst-19342 139 15 the the DET ajst-19342 139 16 dpgan dpgan NOUN ajst-19342 139 17 model model NOUN ajst-19342 139 18 on on ADP ajst-19342 139 19 three three NUM ajst-19342 139 20 datasets dataset NOUN ajst-19342 139 21 , , PUNCT ajst-19342 139 22 with with SCONJ ajst-19342 139 23 the the DET ajst-19342 139 24 differential differential PROPN ajst-19342 139 25 privacy privacy NOUN ajst-19342 139 26 budget budget NOUN ajst-19342 139 27 ๐œ€ ๐œ€ PROPN ajst-19342 139 28 set set VERB ajst-19342 139 29 to to ADP ajst-19342 139 30 10 10 NUM ajst-19342 139 31 and and CCONJ ajst-19342 139 32 100 100 NUM ajst-19342 139 33 , , PUNCT ajst-19342 139 34 ๐›ฟ ๐›ฟ PRON ajst-19342 139 35 set set NOUN ajst-19342 139 36 to to ADP ajst-19342 139 37 10 10 NUM ajst-19342 139 38 - - SYM ajst-19342 139 39 5 5 NUM ajst-19342 139 40 . . PUNCT ajst-19342 140 1 we we PRON ajst-19342 140 2 used use VERB ajst-19342 140 3 the the DET ajst-19342 140 4 above above ADJ ajst-19342 140 5 metrics metric NOUN ajst-19342 140 6 to to PART ajst-19342 140 7 measure measure VERB ajst-19342 140 8 the the DET ajst-19342 140 9 overall overall ADJ ajst-19342 140 10 performance performance NOUN ajst-19342 140 11 of of ADP ajst-19342 140 12 the the DET ajst-19342 140 13 gans gan NOUN ajst-19342 140 14 . . PUNCT ajst-19342 141 1 4.3 4.3 NUM ajst-19342 141 2 . . PUNCT ajst-19342 141 3 results result VERB ajst-19342 141 4 analysis analysis NOUN ajst-19342 141 5 4.3.1 4.3.1 NUM ajst-19342 141 6 . . PUNCT ajst-19342 141 7 machine machine NOUN ajst-19342 141 8 learning learn VERB ajst-19342 141 9 utility utility NOUN ajst-19342 141 10 table table NOUN ajst-19342 141 11 2 2 NUM ajst-19342 141 12 . . X ajst-19342 141 13 result result NOUN ajst-19342 141 14 of of ADP ajst-19342 141 15 ml ml ADP ajst-19342 141 16 utility utility NOUN ajst-19342 141 17 model model NOUN ajst-19342 141 18 ๐œบ ๐œบ PROPN ajst-19342 141 19 pulmonary pulmonary ADJ ajst-19342 141 20 complications complication NOUN ajst-19342 141 21 icu icu PROPN ajst-19342 141 22 admission admission NOUN ajst-19342 141 23 cardiovascular cardiovascular ADJ ajst-19342 141 24 adverse adverse ADJ ajst-19342 141 25 events event NOUN ajst-19342 141 26 origin origin VERB ajst-19342 141 27 0.502 0.502 NUM ajst-19342 141 28 0.509 0.509 NUM ajst-19342 141 29 0.303 0.303 NUM ajst-19342 141 30 ctgan ctgan VERB ajst-19342 141 31 0.503 0.503 NUM ajst-19342 141 32 0.501 0.501 NUM ajst-19342 141 33 0.306 0.306 NUM ajst-19342 141 34 dpgan dpgan NOUN ajst-19342 141 35 10 10 NUM ajst-19342 141 36 0.177 0.177 NUM ajst-19342 141 37 0.204 0.204 NUM ajst-19342 141 38 0.099 0.099 NUM ajst-19342 141 39 100 100 NUM ajst-19342 142 1 0.262 0.262 NUM ajst-19342 142 2 0.353 0.353 NUM ajst-19342 142 3 0.159 0.159 NUM ajst-19342 142 4 dp dp NOUN ajst-19342 142 5 - - PUNCT ajst-19342 142 6 actgan actgan VERB ajst-19342 142 7 10 10 NUM ajst-19342 142 8 0.375 0.375 NUM ajst-19342 142 9 0.269 0.269 NUM ajst-19342 142 10 0.244 0.244 NUM ajst-19342 142 11 100 100 NUM ajst-19342 142 12 0.485 0.485 NUM ajst-19342 142 13 0.496 0.496 NUM ajst-19342 142 14 0.301 0.301 NUM ajst-19342 142 15 in in ADP ajst-19342 142 16 table table NOUN ajst-19342 142 17 2 2 NUM ajst-19342 142 18 , , PUNCT ajst-19342 142 19 the the DET ajst-19342 142 20 model model NOUN ajst-19342 142 21 list list NOUN ajst-19342 142 22 represents represent VERB ajst-19342 142 23 data datum NOUN ajst-19342 142 24 generated generate VERB ajst-19342 142 25 using use VERB ajst-19342 142 26 different different ADJ ajst-19342 142 27 models model NOUN ajst-19342 142 28 , , PUNCT ajst-19342 142 29 while while SCONJ ajst-19342 142 30 origin origin NOUN ajst-19342 142 31 indicates indicate VERB ajst-19342 142 32 the the DET ajst-19342 142 33 use use NOUN ajst-19342 142 34 of of ADP ajst-19342 142 35 original original ADJ ajst-19342 142 36 data datum NOUN ajst-19342 142 37 . . PUNCT ajst-19342 143 1 in in ADP ajst-19342 143 2 theory theory NOUN ajst-19342 143 3 , , PUNCT ajst-19342 143 4 a a DET ajst-19342 143 5 smaller small ADJ ajst-19342 143 6 privacy privacy NOUN ajst-19342 143 7 budget budget NOUN ajst-19342 143 8 ฮต ฮต PROPN ajst-19342 143 9 provides provide VERB ajst-19342 143 10 stronger strong ADJ ajst-19342 143 11 privacy privacy NOUN ajst-19342 143 12 protection protection NOUN ajst-19342 143 13 but but CCONJ ajst-19342 143 14 adds add VERB ajst-19342 143 15 more more ADJ ajst-19342 143 16 noise noise NOUN ajst-19342 143 17 to to ADP ajst-19342 143 18 the the DET ajst-19342 143 19 generative generative ADJ ajst-19342 143 20 model model NOUN ajst-19342 143 21 , , PUNCT ajst-19342 143 22 affecting affect VERB ajst-19342 143 23 the the DET ajst-19342 143 24 utility utility NOUN ajst-19342 143 25 of of ADP ajst-19342 143 26 the the DET ajst-19342 143 27 generated generate VERB ajst-19342 143 28 data datum NOUN ajst-19342 143 29 . . PUNCT ajst-19342 144 1 to to PART ajst-19342 144 2 explore explore VERB ajst-19342 144 3 the the DET ajst-19342 144 4 balance balance NOUN ajst-19342 144 5 between between ADP ajst-19342 144 6 privacy privacy NOUN ajst-19342 144 7 and and CCONJ ajst-19342 144 8 utility utility NOUN ajst-19342 144 9 , , PUNCT ajst-19342 144 10 we we PRON ajst-19342 144 11 set set VERB ajst-19342 144 12 ฮต ฮต PROPN ajst-19342 144 13 to to ADP ajst-19342 144 14 10 10 NUM ajst-19342 144 15 and and CCONJ ajst-19342 144 16 100 100 NUM ajst-19342 144 17 for for ADP ajst-19342 144 18 our our PRON ajst-19342 144 19 experiments experiment NOUN ajst-19342 144 20 . . PUNCT ajst-19342 145 1 the the DET ajst-19342 145 2 table table NOUN ajst-19342 145 3 2 2 NUM ajst-19342 145 4 shows show VERB ajst-19342 145 5 that that SCONJ ajst-19342 145 6 when when SCONJ ajst-19342 145 7 ฮต ฮต PROPN ajst-19342 145 8 is be AUX ajst-19342 145 9 10 10 NUM ajst-19342 145 10 , , PUNCT ajst-19342 145 11 the the DET ajst-19342 145 12 utility utility NOUN ajst-19342 145 13 of of ADP ajst-19342 145 14 the the DET ajst-19342 145 15 data datum NOUN ajst-19342 145 16 generated generate VERB ajst-19342 145 17 by by ADP ajst-19342 145 18 the the DET ajst-19342 145 19 two two NUM ajst-19342 145 20 gan gan NOUN ajst-19342 145 21 models model NOUN ajst-19342 145 22 with with ADP ajst-19342 145 23 differential differential ADJ ajst-19342 145 24 privacy privacy NOUN ajst-19342 145 25 is be AUX ajst-19342 145 26 poor poor ADJ ajst-19342 145 27 . . PUNCT ajst-19342 146 1 this this PRON ajst-19342 146 2 is be AUX ajst-19342 146 3 because because SCONJ ajst-19342 146 4 smaller small ADJ ajst-19342 146 5 ฮต ฮต PROPN ajst-19342 146 6 values value NOUN ajst-19342 146 7 result result VERB ajst-19342 146 8 in in ADP ajst-19342 146 9 more more ADJ ajst-19342 146 10 noise noise NOUN ajst-19342 146 11 , , PUNCT ajst-19342 146 12 which which PRON ajst-19342 146 13 degrades degrade VERB ajst-19342 146 14 the the DET ajst-19342 146 15 utility utility NOUN ajst-19342 146 16 of of ADP ajst-19342 146 17 the the DET ajst-19342 146 18 generated generate VERB ajst-19342 146 19 data datum NOUN ajst-19342 146 20 . . PUNCT ajst-19342 147 1 when when SCONJ ajst-19342 147 2 ฮต ฮต PROPN ajst-19342 147 3 is be AUX ajst-19342 147 4 100 100 NUM ajst-19342 147 5 , , PUNCT ajst-19342 147 6 the the DET ajst-19342 147 7 privacy privacy NOUN ajst-19342 147 8 protection protection NOUN ajst-19342 147 9 decreases decrease VERB ajst-19342 147 10 , , PUNCT ajst-19342 147 11 but but CCONJ ajst-19342 147 12 the the DET ajst-19342 147 13 utility utility NOUN ajst-19342 147 14 of of ADP ajst-19342 147 15 the the DET ajst-19342 147 16 data datum NOUN ajst-19342 147 17 generated generate VERB ajst-19342 147 18 by by ADP ajst-19342 147 19 the the DET ajst-19342 147 20 gan gan PROPN ajst-19342 147 21 models model NOUN ajst-19342 147 22 improves improve VERB ajst-19342 147 23 . . PUNCT ajst-19342 148 1 the the DET ajst-19342 148 2 prediction prediction NOUN ajst-19342 148 3 model model NOUN ajst-19342 148 4 trained train VERB ajst-19342 148 5 with with ADP ajst-19342 148 6 data datum NOUN ajst-19342 148 7 generated generate VERB ajst-19342 148 8 by by ADP ajst-19342 148 9 dp dp PROPN ajst-19342 148 10 - - PUNCT ajst-19342 148 11 actgan actgan PROPN ajst-19342 148 12 has have VERB ajst-19342 148 13 similar similar ADJ ajst-19342 148 14 performance performance NOUN ajst-19342 148 15 to to ADP ajst-19342 148 16 models model NOUN ajst-19342 148 17 trained train VERB ajst-19342 148 18 with with ADP ajst-19342 148 19 real real ADJ ajst-19342 148 20 data datum NOUN ajst-19342 148 21 . . PUNCT ajst-19342 149 1 the the DET ajst-19342 149 2 table table NOUN ajst-19342 149 3 2 2 NUM ajst-19342 149 4 also also ADV ajst-19342 149 5 shows show VERB ajst-19342 149 6 that that SCONJ ajst-19342 149 7 under under ADP ajst-19342 149 8 the the DET ajst-19342 149 9 same same ADJ ajst-19342 149 10 privacy privacy NOUN ajst-19342 149 11 budget budget NOUN ajst-19342 149 12 constraints constraint NOUN ajst-19342 149 13 , , PUNCT ajst-19342 149 14 the the DET ajst-19342 149 15 utility utility NOUN ajst-19342 149 16 of of ADP ajst-19342 149 17 data datum NOUN ajst-19342 149 18 generated generate VERB ajst-19342 149 19 by by ADP ajst-19342 149 20 dp dp PROPN ajst-19342 149 21 - - PUNCT ajst-19342 149 22 actgan actgan ADJ ajst-19342 149 23 is be AUX ajst-19342 149 24 better well ADJ ajst-19342 149 25 than than ADP ajst-19342 149 26 that that PRON ajst-19342 149 27 of of ADP ajst-19342 149 28 dpgan dpgan NOUN ajst-19342 149 29 . . PUNCT ajst-19342 150 1 this this PRON ajst-19342 150 2 is be AUX ajst-19342 150 3 because because SCONJ ajst-19342 150 4 using use VERB ajst-19342 150 5 the the DET ajst-19342 150 6 rรฉnyi rรฉnyi NOUN ajst-19342 150 7 accountant accountant NOUN ajst-19342 150 8 method method NOUN ajst-19342 150 9 allows allow VERB ajst-19342 150 10 for for ADP ajst-19342 150 11 a a DET ajst-19342 150 12 stricter strict ADJ ajst-19342 150 13 calculation calculation NOUN ajst-19342 150 14 of of ADP ajst-19342 150 15 ฮต ฮต PROPN ajst-19342 150 16 , , PUNCT ajst-19342 150 17 meaning mean VERB ajst-19342 150 18 less less ADJ ajst-19342 150 19 noise noise NOUN ajst-19342 150 20 can can AUX ajst-19342 150 21 be be AUX ajst-19342 150 22 added add VERB ajst-19342 150 23 under under ADP ajst-19342 150 24 the the DET ajst-19342 150 25 same same ADJ ajst-19342 150 26 privacy privacy NOUN ajst-19342 150 27 budget budget NOUN ajst-19342 150 28 . . PUNCT ajst-19342 151 1 this this PRON ajst-19342 151 2 ensures ensure VERB ajst-19342 151 3 privacy privacy NOUN ajst-19342 151 4 while while SCONJ ajst-19342 151 5 more more ADV ajst-19342 151 6 effectively effectively ADV ajst-19342 151 7 preserving preserve VERB ajst-19342 151 8 key key ADJ ajst-19342 151 9 information information NOUN ajst-19342 151 10 during during ADP ajst-19342 151 11 training training NOUN ajst-19342 151 12 , , PUNCT ajst-19342 151 13 thus thus ADV ajst-19342 151 14 enhancing enhance VERB ajst-19342 151 15 the the DET ajst-19342 151 16 utility utility NOUN ajst-19342 151 17 of of ADP ajst-19342 151 18 the the DET ajst-19342 151 19 generated generate VERB ajst-19342 151 20 data datum NOUN ajst-19342 151 21 . . PUNCT ajst-19342 152 1 4.3.2 4.3.2 X ajst-19342 152 2 . . PUNCT ajst-19342 153 1 statistical statistical ADJ ajst-19342 153 2 similarity similarity NOUN ajst-19342 153 3 the the DET ajst-19342 153 4 statistical statistical ADJ ajst-19342 153 5 similarity similarity NOUN ajst-19342 153 6 experiments experiment NOUN ajst-19342 153 7 in in ADP ajst-19342 153 8 this this DET ajst-19342 153 9 chapter chapter NOUN ajst-19342 153 10 use use VERB ajst-19342 153 11 the the DET ajst-19342 153 12 jsd jsd PROPN ajst-19342 153 13 and and CCONJ ajst-19342 153 14 wd wd ADJ ajst-19342 153 15 metrics metric NOUN ajst-19342 153 16 to to PART ajst-19342 153 17 measure measure VERB ajst-19342 153 18 the the DET ajst-19342 153 19 statistical statistical ADJ ajst-19342 153 20 similarity similarity NOUN ajst-19342 153 21 449 449 NUM ajst-19342 153 22 between between ADP ajst-19342 153 23 the the DET ajst-19342 153 24 generated generate VERB ajst-19342 153 25 data datum NOUN ajst-19342 153 26 and and CCONJ ajst-19342 153 27 the the DET ajst-19342 153 28 real real ADJ ajst-19342 153 29 training training NOUN ajst-19342 153 30 set set NOUN ajst-19342 153 31 . . PUNCT ajst-19342 154 1 the the DET ajst-19342 154 2 experiments experiment NOUN ajst-19342 154 3 show show VERB ajst-19342 154 4 the the DET ajst-19342 154 5 statistical statistical ADJ ajst-19342 154 6 similarity similarity NOUN ajst-19342 154 7 of of ADP ajst-19342 154 8 the the DET ajst-19342 154 9 data datum NOUN ajst-19342 154 10 generated generate VERB ajst-19342 154 11 by by ADP ajst-19342 154 12 the the DET ajst-19342 154 13 three three NUM ajst-19342 154 14 models model NOUN ajst-19342 154 15 on on ADP ajst-19342 154 16 three three NUM ajst-19342 154 17 datasets dataset NOUN ajst-19342 154 18 when when SCONJ ajst-19342 154 19 the the DET ajst-19342 154 20 privacy privacy NOUN ajst-19342 154 21 budget budget NOUN ajst-19342 154 22 ฮต ฮต PROPN ajst-19342 154 23 is be AUX ajst-19342 154 24 set set VERB ajst-19342 154 25 to to ADP ajst-19342 154 26 10 10 NUM ajst-19342 154 27 and and CCONJ ajst-19342 154 28 100 100 NUM ajst-19342 154 29 , , PUNCT ajst-19342 154 30 respectively respectively ADV ajst-19342 154 31 . . PUNCT ajst-19342 155 1 the the DET ajst-19342 155 2 experimental experimental ADJ ajst-19342 155 3 results result NOUN ajst-19342 155 4 are be AUX ajst-19342 155 5 shown show VERB ajst-19342 155 6 in in ADP ajst-19342 155 7 table table NOUN ajst-19342 155 8 3 3 NUM ajst-19342 155 9 . . PUNCT ajst-19342 156 1 both both CCONJ ajst-19342 156 2 jsd jsd PROPN ajst-19342 156 3 and and CCONJ ajst-19342 156 4 wd wd PROPN ajst-19342 156 5 are be AUX ajst-19342 156 6 metrics metric NOUN ajst-19342 156 7 where where SCONJ ajst-19342 156 8 smaller small ADJ ajst-19342 156 9 values value NOUN ajst-19342 156 10 indicate indicate VERB ajst-19342 156 11 greater great ADJ ajst-19342 156 12 similarity similarity NOUN ajst-19342 156 13 between between ADP ajst-19342 156 14 the the DET ajst-19342 156 15 generated generate VERB ajst-19342 156 16 data datum NOUN ajst-19342 156 17 and and CCONJ ajst-19342 156 18 the the DET ajst-19342 156 19 real real ADJ ajst-19342 156 20 data datum NOUN ajst-19342 156 21 . . PUNCT ajst-19342 157 1 comparing compare VERB ajst-19342 157 2 the the DET ajst-19342 157 3 results result NOUN ajst-19342 157 4 when when SCONJ ajst-19342 157 5 ฮต ฮต PROPN ajst-19342 157 6 is be AUX ajst-19342 157 7 set set VERB ajst-19342 157 8 to to ADP ajst-19342 157 9 100 100 NUM ajst-19342 157 10 with with ADP ajst-19342 157 11 when when SCONJ ajst-19342 157 12 it it PRON ajst-19342 157 13 is be AUX ajst-19342 157 14 set set VERB ajst-19342 157 15 to to ADP ajst-19342 157 16 10 10 NUM ajst-19342 157 17 , , PUNCT ajst-19342 157 18 we we PRON ajst-19342 157 19 find find VERB ajst-19342 157 20 that that SCONJ ajst-19342 157 21 the the DET ajst-19342 157 22 data datum NOUN ajst-19342 157 23 generated generate VERB ajst-19342 157 24 by by ADP ajst-19342 157 25 the the DET ajst-19342 157 26 two two NUM ajst-19342 157 27 gan gan NOUN ajst-19342 157 28 models model NOUN ajst-19342 157 29 is be AUX ajst-19342 157 30 more more ADV ajst-19342 157 31 similar similar ADJ ajst-19342 157 32 to to ADP ajst-19342 157 33 the the DET ajst-19342 157 34 real real ADJ ajst-19342 157 35 data datum NOUN ajst-19342 157 36 when when SCONJ ajst-19342 157 37 ฮต ฮต PROPN ajst-19342 157 38 is be AUX ajst-19342 157 39 set set VERB ajst-19342 157 40 to to ADP ajst-19342 157 41 100 100 NUM ajst-19342 157 42 . . PUNCT ajst-19342 158 1 this this PRON ajst-19342 158 2 suggests suggest VERB ajst-19342 158 3 that that SCONJ ajst-19342 158 4 larger large ADJ ajst-19342 158 5 amounts amount NOUN ajst-19342 158 6 of of ADP ajst-19342 158 7 noise noise NOUN ajst-19342 158 8 not not PART ajst-19342 158 9 only only ADV ajst-19342 158 10 affect affect VERB ajst-19342 158 11 the the DET ajst-19342 158 12 utility utility NOUN ajst-19342 158 13 of of ADP ajst-19342 158 14 the the DET ajst-19342 158 15 generated generate VERB ajst-19342 158 16 data datum NOUN ajst-19342 158 17 but but CCONJ ajst-19342 158 18 also also ADV ajst-19342 158 19 reduce reduce VERB ajst-19342 158 20 its its PRON ajst-19342 158 21 statistical statistical ADJ ajst-19342 158 22 similarity similarity NOUN ajst-19342 158 23 to to ADP ajst-19342 158 24 the the DET ajst-19342 158 25 real real ADJ ajst-19342 158 26 data datum NOUN ajst-19342 158 27 . . PUNCT ajst-19342 159 1 table table NOUN ajst-19342 159 2 3 3 NUM ajst-19342 159 3 . . X ajst-19342 159 4 result result NOUN ajst-19342 159 5 of of ADP ajst-19342 159 6 statistical statistical ADJ ajst-19342 159 7 similarity similarity NOUN ajst-19342 159 8 datasets dataset NOUN ajst-19342 159 9 model model NOUN ajst-19342 159 10 ฮต ฮต PROPN ajst-19342 159 11 wd wd PROPN ajst-19342 159 12 jsd jsd PROPN ajst-19342 159 13 pulmonary pulmonary ADJ ajst-19342 159 14 complications complication NOUN ajst-19342 159 15 ctgan ctgan VERB ajst-19342 159 16 0.032 0.032 NUM ajst-19342 159 17 0.097 0.097 NUM ajst-19342 159 18 dpgan dpgan VERB ajst-19342 159 19 10 10 NUM ajst-19342 159 20 0.046 0.046 NUM ajst-19342 159 21 0.108 0.108 NUM ajst-19342 159 22 100 100 NUM ajst-19342 159 23 0.036 0.036 NUM ajst-19342 159 24 0.092 0.092 NUM ajst-19342 159 25 dp dp NOUN ajst-19342 159 26 - - PUNCT ajst-19342 159 27 actgan actgan VERB ajst-19342 159 28 10 10 NUM ajst-19342 159 29 0.042 0.042 NUM ajst-19342 159 30 0.109 0.109 NUM ajst-19342 159 31 100 100 NUM ajst-19342 159 32 0.033 0.033 NUM ajst-19342 159 33 0.09 0.09 NUM ajst-19342 159 34 icu icu PROPN ajst-19342 159 35 admission admission NOUN ajst-19342 159 36 ctgan ctgan VERB ajst-19342 159 37 0.032 0.032 NUM ajst-19342 159 38 0.091 0.091 NUM ajst-19342 159 39 dpgan dpgan NOUN ajst-19342 160 1 10 10 NUM ajst-19342 160 2 0.084 0.084 NUM ajst-19342 160 3 0.132 0.132 NUM ajst-19342 160 4 100 100 NUM ajst-19342 160 5 0.051 0.051 NUM ajst-19342 160 6 0.096 0.096 NUM ajst-19342 160 7 dp dp NOUN ajst-19342 160 8 - - PUNCT ajst-19342 160 9 actgan actgan VERB ajst-19342 160 10 10 10 NUM ajst-19342 160 11 0.074 0.074 NUM ajst-19342 160 12 0.13 0.13 NUM ajst-19342 160 13 100 100 NUM ajst-19342 160 14 0.048 0.048 NUM ajst-19342 160 15 0.094 0.094 NUM ajst-19342 160 16 cardiovascular cardiovascular ADJ ajst-19342 160 17 adverse adverse ADJ ajst-19342 160 18 events event NOUN ajst-19342 160 19 ctgan ctgan VERB ajst-19342 160 20 0.032 0.032 NUM ajst-19342 160 21 0.097 0.097 NUM ajst-19342 160 22 dpgan dpgan VERB ajst-19342 160 23 10 10 NUM ajst-19342 160 24 0.041 0.041 NUM ajst-19342 160 25 0.107 0.107 NUM ajst-19342 160 26 100 100 NUM ajst-19342 160 27 0.033 0.033 NUM ajst-19342 160 28 0.091 0.091 NUM ajst-19342 160 29 dp dp NOUN ajst-19342 160 30 - - PUNCT ajst-19342 160 31 actgan actgan VERB ajst-19342 160 32 10 10 NUM ajst-19342 160 33 0.043 0.043 NUM ajst-19342 160 34 0.1 0.1 NUM ajst-19342 160 35 100 100 NUM ajst-19342 160 36 0.034 0.034 NUM ajst-19342 160 37 0.085 0.085 NUM ajst-19342 160 38 4.3.3 4.3.3 NUM ajst-19342 160 39 . . PUNCT ajst-19342 161 1 privacy privacy NOUN ajst-19342 161 2 metrics metric NOUN ajst-19342 161 3 this this DET ajst-19342 161 4 paper paper NOUN ajst-19342 161 5 uses use VERB ajst-19342 161 6 dcr dcr PROPN ajst-19342 161 7 and and CCONJ ajst-19342 161 8 mia mia PROPN ajst-19342 161 9 to to PART ajst-19342 161 10 verify verify VERB ajst-19342 161 11 the the DET ajst-19342 161 12 privacy privacy NOUN ajst-19342 161 13 protection protection NOUN ajst-19342 161 14 of of ADP ajst-19342 161 15 the the DET ajst-19342 161 16 generated generate VERB ajst-19342 161 17 data datum NOUN ajst-19342 161 18 for for ADP ajst-19342 161 19 the the DET ajst-19342 161 20 real real ADJ ajst-19342 161 21 data datum NOUN ajst-19342 161 22 , , PUNCT ajst-19342 161 23 with with ADP ajst-19342 161 24 the the DET ajst-19342 161 25 dcr dcr PROPN ajst-19342 161 26 experimental experimental ADJ ajst-19342 161 27 results result NOUN ajst-19342 161 28 shown show VERB ajst-19342 161 29 in in ADP ajst-19342 161 30 table table NOUN ajst-19342 161 31 4 4 NUM ajst-19342 161 32 . . PUNCT ajst-19342 162 1 firstly firstly ADV ajst-19342 162 2 , , PUNCT ajst-19342 162 3 it it PRON ajst-19342 162 4 can can AUX ajst-19342 162 5 be be AUX ajst-19342 162 6 observed observe VERB ajst-19342 162 7 that that SCONJ ajst-19342 162 8 the the DET ajst-19342 162 9 dcr dcr PROPN ajst-19342 162 10 values value VERB ajst-19342 162 11 for for ADP ajst-19342 162 12 the the DET ajst-19342 162 13 data datum NOUN ajst-19342 162 14 generated generate VERB ajst-19342 162 15 by by ADP ajst-19342 162 16 the the DET ajst-19342 162 17 three three NUM ajst-19342 162 18 gan gan NOUN ajst-19342 162 19 models model NOUN ajst-19342 162 20 all all PRON ajst-19342 162 21 exceed exceed VERB ajst-19342 162 22 those those PRON ajst-19342 162 23 of of ADP ajst-19342 162 24 the the DET ajst-19342 162 25 original original ADJ ajst-19342 162 26 dataset dataset NOUN ajst-19342 162 27 . . PUNCT ajst-19342 163 1 this this PRON ajst-19342 163 2 indicates indicate VERB ajst-19342 163 3 that that SCONJ ajst-19342 163 4 the the DET ajst-19342 163 5 gan gan PROPN ajst-19342 163 6 models model NOUN ajst-19342 163 7 do do AUX ajst-19342 163 8 not not PART ajst-19342 163 9 simply simply ADV ajst-19342 163 10 memorize memorize VERB ajst-19342 163 11 and and CCONJ ajst-19342 163 12 generate generate VERB ajst-19342 163 13 samples sample NOUN ajst-19342 163 14 similar similar ADJ ajst-19342 163 15 to to ADP ajst-19342 163 16 the the DET ajst-19342 163 17 original original ADJ ajst-19342 163 18 data datum NOUN ajst-19342 163 19 , , PUNCT ajst-19342 163 20 but but CCONJ ajst-19342 163 21 have have AUX ajst-19342 163 22 successfully successfully ADV ajst-19342 163 23 learned learn VERB ajst-19342 163 24 the the DET ajst-19342 163 25 patterns pattern NOUN ajst-19342 163 26 in in ADP ajst-19342 163 27 the the DET ajst-19342 163 28 data datum NOUN ajst-19342 163 29 , , PUNCT ajst-19342 163 30 creating create VERB ajst-19342 163 31 new new ADJ ajst-19342 163 32 samples sample NOUN ajst-19342 163 33 that that PRON ajst-19342 163 34 differ differ VERB ajst-19342 163 35 from from ADP ajst-19342 163 36 the the DET ajst-19342 163 37 original original ADJ ajst-19342 163 38 dataset dataset NOUN ajst-19342 163 39 but but CCONJ ajst-19342 163 40 have have VERB ajst-19342 163 41 similar similar ADJ ajst-19342 163 42 characteristics characteristic NOUN ajst-19342 163 43 as as ADP ajst-19342 163 44 the the DET ajst-19342 163 45 generated generate VERB ajst-19342 163 46 dataset dataset NOUN ajst-19342 163 47 . . PUNCT ajst-19342 164 1 from from ADP ajst-19342 164 2 the the DET ajst-19342 164 3 table table NOUN ajst-19342 164 4 , , PUNCT ajst-19342 164 5 it it PRON ajst-19342 164 6 can can AUX ajst-19342 164 7 be be AUX ajst-19342 164 8 also also ADV ajst-19342 164 9 seen see VERB ajst-19342 164 10 that that SCONJ ajst-19342 164 11 in in ADP ajst-19342 164 12 the the DET ajst-19342 164 13 three three NUM ajst-19342 164 14 different different ADJ ajst-19342 164 15 prediction prediction NOUN ajst-19342 164 16 tasks task NOUN ajst-19342 164 17 , , PUNCT ajst-19342 164 18 the the DET ajst-19342 164 19 privacy privacy NOUN ajst-19342 164 20 protection protection NOUN ajst-19342 164 21 provided provide VERB ajst-19342 164 22 by by ADP ajst-19342 164 23 setting set VERB ajst-19342 164 24 the the DET ajst-19342 164 25 generative generative ADJ ajst-19342 164 26 model model NOUN ajst-19342 164 27 's 's PART ajst-19342 164 28 privacy privacy NOUN ajst-19342 164 29 budget budget NOUN ajst-19342 164 30 ฮต ฮต PROPN ajst-19342 164 31 to to ADP ajst-19342 164 32 10 10 NUM ajst-19342 164 33 is be AUX ajst-19342 164 34 higher high ADJ ajst-19342 164 35 than than ADP ajst-19342 164 36 that that PRON ajst-19342 164 37 provided provide VERB ajst-19342 164 38 when when SCONJ ajst-19342 164 39 setting set VERB ajst-19342 164 40 it it PRON ajst-19342 164 41 to to ADP ajst-19342 164 42 100 100 NUM ajst-19342 164 43 . . PUNCT ajst-19342 165 1 this this PRON ajst-19342 165 2 is be AUX ajst-19342 165 3 consistent consistent ADJ ajst-19342 165 4 with with ADP ajst-19342 165 5 the the DET ajst-19342 165 6 definition definition NOUN ajst-19342 165 7 of of ADP ajst-19342 165 8 differential differential ADJ ajst-19342 165 9 privacy privacy NOUN ajst-19342 165 10 , , PUNCT ajst-19342 165 11 which which PRON ajst-19342 165 12 states state VERB ajst-19342 165 13 that that SCONJ ajst-19342 165 14 setting set VERB ajst-19342 165 15 a a DET ajst-19342 165 16 smaller small ADJ ajst-19342 165 17 ฮต ฮต NOUN ajst-19342 165 18 for for ADP ajst-19342 165 19 the the DET ajst-19342 165 20 model model NOUN ajst-19342 165 21 introduces introduce VERB ajst-19342 165 22 more more ADJ ajst-19342 165 23 noise noise NOUN ajst-19342 165 24 , , PUNCT ajst-19342 165 25 thus thus ADV ajst-19342 165 26 providing provide VERB ajst-19342 165 27 stronger strong ADJ ajst-19342 165 28 privacy privacy NOUN ajst-19342 165 29 protection protection NOUN ajst-19342 165 30 . . PUNCT ajst-19342 166 1 table table NOUN ajst-19342 166 2 4 4 NUM ajst-19342 166 3 . . PUNCT ajst-19342 166 4 result result NOUN ajst-19342 166 5 of of ADP ajst-19342 166 6 dcr dcr PROPN ajst-19342 166 7 model model PROPN ajst-19342 166 8 ๐œบ ๐œบ PROPN ajst-19342 166 9 pulmonary pulmonary ADJ ajst-19342 166 10 complications complication NOUN ajst-19342 166 11 icu icu PROPN ajst-19342 166 12 admission admission NOUN ajst-19342 166 13 cardiovascular cardiovascular ADJ ajst-19342 166 14 adverse adverse ADJ ajst-19342 166 15 events event NOUN ajst-19342 166 16 origin origin VERB ajst-19342 166 17 1.86 1.86 NUM ajst-19342 166 18 2.06 2.06 NUM ajst-19342 166 19 1.86 1.86 NUM ajst-19342 166 20 ctgan ctgan VERB ajst-19342 166 21 2.37 2.37 NUM ajst-19342 166 22 2.48 2.48 NUM ajst-19342 166 23 2.37 2.37 NUM ajst-19342 166 24 dpgan dpgan NOUN ajst-19342 166 25 10 10 NUM ajst-19342 166 26 2.42 2.42 NUM ajst-19342 166 27 2.69 2.69 NUM ajst-19342 166 28 2.42 2.42 NUM ajst-19342 166 29 100 100 NUM ajst-19342 166 30 2.34 2.34 NUM ajst-19342 166 31 2.56 2.56 NUM ajst-19342 166 32 2.39 2.39 NUM ajst-19342 166 33 dp dp NOUN ajst-19342 166 34 - - PUNCT ajst-19342 166 35 actgan actgan VERB ajst-19342 166 36 10 10 NUM ajst-19342 166 37 2.58 2.58 NUM ajst-19342 166 38 2.85 2.85 NUM ajst-19342 166 39 2.81 2.81 NUM ajst-19342 166 40 100 100 NUM ajst-19342 166 41 2.4 2.4 NUM ajst-19342 166 42 2.59 2.59 NUM ajst-19342 166 43 2.5 2.5 NUM ajst-19342 166 44 upon upon SCONJ ajst-19342 166 45 further further ADJ ajst-19342 166 46 analysis analysis NOUN ajst-19342 166 47 of of ADP ajst-19342 166 48 the the DET ajst-19342 166 49 experimental experimental ADJ ajst-19342 166 50 results result NOUN ajst-19342 166 51 in in ADP ajst-19342 166 52 the the DET ajst-19342 166 53 table table NOUN ajst-19342 166 54 , , PUNCT ajst-19342 166 55 it it PRON ajst-19342 166 56 can can AUX ajst-19342 166 57 be be AUX ajst-19342 166 58 observed observe VERB ajst-19342 166 59 that that SCONJ ajst-19342 166 60 even even ADV ajst-19342 166 61 when when SCONJ ajst-19342 166 62 ฮต ฮต PROPN ajst-19342 166 63 is be AUX ajst-19342 166 64 set set VERB ajst-19342 166 65 to to ADP ajst-19342 166 66 100 100 NUM ajst-19342 166 67 , , PUNCT ajst-19342 166 68 the the DET ajst-19342 166 69 dcr dcr PROPN ajst-19342 166 70 metrics metric NOUN ajst-19342 166 71 for for ADP ajst-19342 166 72 data datum NOUN ajst-19342 166 73 generated generate VERB ajst-19342 166 74 by by ADP ajst-19342 166 75 dp dp NOUN ajst-19342 166 76 - - PUNCT ajst-19342 166 77 actgan actgan VERB ajst-19342 166 78 across across ADP ajst-19342 166 79 all all DET ajst-19342 166 80 three three NUM ajst-19342 166 81 prediction prediction NOUN ajst-19342 166 82 tasks task NOUN ajst-19342 166 83 are be AUX ajst-19342 166 84 still still ADV ajst-19342 166 85 better well ADJ ajst-19342 166 86 than than ADP ajst-19342 166 87 the the DET ajst-19342 166 88 gan gan PROPN ajst-19342 166 89 model model NOUN ajst-19342 166 90 which which PRON ajst-19342 166 91 not not PART ajst-19342 166 92 employing employ VERB ajst-19342 166 93 differential differential ADJ ajst-19342 166 94 privacy privacy NOUN ajst-19342 166 95 techniques technique NOUN ajst-19342 166 96 . . PUNCT ajst-19342 167 1 this this DET ajst-19342 167 2 result result NOUN ajst-19342 167 3 indicates indicate VERB ajst-19342 167 4 that that SCONJ ajst-19342 167 5 even even ADV ajst-19342 167 6 with with ADP ajst-19342 167 7 a a DET ajst-19342 167 8 more more ADV ajst-19342 167 9 relaxed relaxed ADJ ajst-19342 167 10 privacy privacy NOUN ajst-19342 167 11 budget budget NOUN ajst-19342 167 12 setting setting NOUN ajst-19342 167 13 , , PUNCT ajst-19342 167 14 the the DET ajst-19342 167 15 use use NOUN ajst-19342 167 16 of of ADP ajst-19342 167 17 differential differential ADJ ajst-19342 167 18 privacy privacy NOUN ajst-19342 167 19 technology technology NOUN ajst-19342 167 20 can can AUX ajst-19342 167 21 effectively effectively ADV ajst-19342 167 22 enhance enhance VERB ajst-19342 167 23 the the DET ajst-19342 167 24 privacy privacy NOUN ajst-19342 167 25 protection protection NOUN ajst-19342 167 26 level level NOUN ajst-19342 167 27 of of ADP ajst-19342 167 28 the the DET ajst-19342 167 29 generated generate VERB ajst-19342 167 30 data datum NOUN ajst-19342 167 31 , , PUNCT ajst-19342 167 32 reducing reduce VERB ajst-19342 167 33 the the DET ajst-19342 167 34 potential potential ADJ ajst-19342 167 35 risk risk NOUN ajst-19342 167 36 of of ADP ajst-19342 167 37 privacy privacy NOUN ajst-19342 167 38 exposure exposure NOUN ajst-19342 167 39 . . PUNCT ajst-19342 168 1 the the DET ajst-19342 168 2 mia mia PROPN ajst-19342 168 3 experiment experiment NOUN ajst-19342 168 4 results result NOUN ajst-19342 168 5 are be AUX ajst-19342 168 6 shown show VERB ajst-19342 168 7 in in ADP ajst-19342 168 8 table table NOUN ajst-19342 168 9 5 5 NUM ajst-19342 168 10 . . PUNCT ajst-19342 169 1 the the DET ajst-19342 169 2 table table NOUN ajst-19342 169 3 indicates indicate VERB ajst-19342 169 4 that that SCONJ ajst-19342 169 5 compared compare VERB ajst-19342 169 6 to to ADP ajst-19342 169 7 the the DET ajst-19342 169 8 gan gan PROPN ajst-19342 169 9 model model NOUN ajst-19342 169 10 without without ADP ajst-19342 169 11 the the DET ajst-19342 169 12 differential differential PROPN ajst-19342 169 13 privacy privacy NOUN ajst-19342 169 14 module module NOUN ajst-19342 169 15 , , PUNCT ajst-19342 169 16 the the DET ajst-19342 169 17 data datum NOUN ajst-19342 169 18 generated generate VERB ajst-19342 169 19 by by ADP ajst-19342 169 20 dpactgan dpactgan NOUN ajst-19342 169 21 and and CCONJ ajst-19342 169 22 dpgan dpgan NOUN ajst-19342 169 23 can can AUX ajst-19342 169 24 more more ADV ajst-19342 169 25 effectively effectively ADV ajst-19342 169 26 resist resist VERB ajst-19342 169 27 membership membership NOUN ajst-19342 169 28 inference inference NOUN ajst-19342 169 29 attacks attack NOUN ajst-19342 169 30 , , PUNCT ajst-19342 169 31 enhancing enhance VERB ajst-19342 169 32 the the DET ajst-19342 169 33 privacy privacy NOUN ajst-19342 169 34 protection protection NOUN ajst-19342 169 35 of of ADP ajst-19342 169 36 the the DET ajst-19342 169 37 generated generate VERB ajst-19342 169 38 data datum NOUN ajst-19342 169 39 for for ADP ajst-19342 169 40 the the DET ajst-19342 169 41 real real ADJ ajst-19342 169 42 data datum NOUN ajst-19342 169 43 . . PUNCT ajst-19342 170 1 furthermore furthermore ADV ajst-19342 170 2 , , PUNCT ajst-19342 170 3 as as SCONJ ajst-19342 170 4 the the DET ajst-19342 170 5 privacy privacy NOUN ajst-19342 170 6 budget budget NOUN ajst-19342 170 7 decreases decrease VERB ajst-19342 170 8 , , PUNCT ajst-19342 170 9 the the DET ajst-19342 170 10 protection protection NOUN ajst-19342 170 11 for for ADP ajst-19342 170 12 the the DET ajst-19342 170 13 original original ADJ ajst-19342 170 14 data data NOUN ajst-19342 170 15 improves improve VERB ajst-19342 170 16 . . PUNCT ajst-19342 171 1 table table NOUN ajst-19342 171 2 5 5 NUM ajst-19342 171 3 . . PUNCT ajst-19342 171 4 result result NOUN ajst-19342 171 5 of of ADP ajst-19342 171 6 mia mia PROPN ajst-19342 171 7 model model PROPN ajst-19342 171 8 ๐œบ ๐œบ PROPN ajst-19342 171 9 pulmonary pulmonary ADJ ajst-19342 171 10 complications complication NOUN ajst-19342 171 11 icu icu PROPN ajst-19342 171 12 admission admission NOUN ajst-19342 171 13 cardiovascular cardiovascular ADJ ajst-19342 171 14 adverse adverse ADJ ajst-19342 171 15 events event NOUN ajst-19342 171 16 ctgan ctgan VERB ajst-19342 171 17 0.525 0.525 NUM ajst-19342 171 18 0.493 0.493 NUM ajst-19342 171 19 0.518 0.518 NUM ajst-19342 171 20 dpgan dpgan NOUN ajst-19342 171 21 10 10 NUM ajst-19342 171 22 0.488 0.488 NUM ajst-19342 171 23 0.477 0.477 NUM ajst-19342 171 24 0.469 0.469 NUM ajst-19342 171 25 100 100 NUM ajst-19342 171 26 0.493 0.493 NUM ajst-19342 171 27 0.48 0.48 NUM ajst-19342 171 28 0.487 0.487 NUM ajst-19342 171 29 dp dp NOUN ajst-19342 171 30 - - PUNCT ajst-19342 171 31 actgan actgan VERB ajst-19342 171 32 10 10 NUM ajst-19342 171 33 0.472 0.472 NUM ajst-19342 171 34 0.463 0.463 NUM ajst-19342 171 35 0.466 0.466 NUM ajst-19342 171 36 100 100 NUM ajst-19342 171 37 0.487 0.487 NUM ajst-19342 171 38 0.467 0.467 NUM ajst-19342 171 39 0.484 0.484 NUM ajst-19342 171 40 synthesizing synthesize VERB ajst-19342 171 41 the the DET ajst-19342 171 42 dcr dcr PROPN ajst-19342 171 43 and and CCONJ ajst-19342 171 44 mia mia PROPN ajst-19342 171 45 experiment experiment NOUN ajst-19342 171 46 results result NOUN ajst-19342 171 47 , , PUNCT ajst-19342 171 48 it it PRON ajst-19342 171 49 is be AUX ajst-19342 171 50 evident evident ADJ ajst-19342 171 51 that that SCONJ ajst-19342 171 52 the the DET ajst-19342 171 53 privacy privacy NOUN ajst-19342 171 54 protection protection NOUN ajst-19342 171 55 for for ADP ajst-19342 171 56 data datum NOUN ajst-19342 171 57 generated generate VERB ajst-19342 171 58 by by ADP ajst-19342 171 59 dpactgan dpactgan NOUN ajst-19342 171 60 is be AUX ajst-19342 171 61 consistently consistently ADV ajst-19342 171 62 better well ADJ ajst-19342 171 63 than than ADP ajst-19342 171 64 that that PRON ajst-19342 171 65 for for ADP ajst-19342 171 66 dpgan dpgan NOUN ajst-19342 171 67 . . PUNCT ajst-19342 172 1 moreover moreover ADV ajst-19342 172 2 , , PUNCT ajst-19342 172 3 across across ADP ajst-19342 172 4 the the DET ajst-19342 172 5 three three NUM ajst-19342 172 6 datasets dataset NOUN ajst-19342 172 7 , , PUNCT ajst-19342 172 8 compared compare VERB ajst-19342 172 9 to to ADP ajst-19342 172 10 the the DET ajst-19342 172 11 ctgan ctgan ADJ ajst-19342 172 12 450 450 NUM ajst-19342 172 13 model model NOUN ajst-19342 172 14 which which PRON ajst-19342 172 15 lacks lack VERB ajst-19342 172 16 a a DET ajst-19342 172 17 differential differential ADJ ajst-19342 172 18 privacy privacy NOUN ajst-19342 172 19 module module NOUN ajst-19342 172 20 , , PUNCT ajst-19342 172 21 the the DET ajst-19342 172 22 use use NOUN ajst-19342 172 23 of of ADP ajst-19342 172 24 gan gan PROPN ajst-19342 172 25 models model NOUN ajst-19342 172 26 with with ADP ajst-19342 172 27 differential differential ADJ ajst-19342 172 28 privacy privacy NOUN ajst-19342 172 29 protection protection NOUN ajst-19342 172 30 has have AUX ajst-19342 172 31 enhanced enhance VERB ajst-19342 172 32 the the DET ajst-19342 172 33 privacy privacy NOUN ajst-19342 172 34 protection protection NOUN ajst-19342 172 35 of of ADP ajst-19342 172 36 the the DET ajst-19342 172 37 generated generate VERB ajst-19342 172 38 data datum NOUN ajst-19342 172 39 relative relative ADJ ajst-19342 172 40 to to ADP ajst-19342 172 41 the the DET ajst-19342 172 42 real real ADJ ajst-19342 172 43 data datum NOUN ajst-19342 172 44 . . PUNCT ajst-19342 173 1 even even ADV ajst-19342 173 2 in in ADP ajst-19342 173 3 the the DET ajst-19342 173 4 face face NOUN ajst-19342 173 5 of of ADP ajst-19342 173 6 membership membership NOUN ajst-19342 173 7 inference inference NOUN ajst-19342 173 8 attacks attack NOUN ajst-19342 173 9 , , PUNCT ajst-19342 173 10 the the DET ajst-19342 173 11 data datum NOUN ajst-19342 173 12 generated generate VERB ajst-19342 173 13 by by ADP ajst-19342 173 14 gans gan NOUN ajst-19342 173 15 with with ADP ajst-19342 173 16 differential differential ADJ ajst-19342 173 17 privacy privacy NOUN ajst-19342 173 18 maintains maintain VERB ajst-19342 173 19 a a DET ajst-19342 173 20 higher high ADJ ajst-19342 173 21 degree degree NOUN ajst-19342 173 22 of of ADP ajst-19342 173 23 privacy privacy NOUN ajst-19342 173 24 protection protection NOUN ajst-19342 173 25 , , PUNCT ajst-19342 173 26 reducing reduce VERB ajst-19342 173 27 the the DET ajst-19342 173 28 risk risk NOUN ajst-19342 173 29 of of ADP ajst-19342 173 30 individual individual ADJ ajst-19342 173 31 privacy privacy NOUN ajst-19342 173 32 information information NOUN ajst-19342 173 33 being be AUX ajst-19342 173 34 identified identify VERB ajst-19342 173 35 and and CCONJ ajst-19342 173 36 leaked leak VERB ajst-19342 173 37 . . PUNCT ajst-19342 174 1 and and CCONJ ajst-19342 174 2 combining combine VERB ajst-19342 174 3 experiments experiment NOUN ajst-19342 174 4 on on ADP ajst-19342 174 5 machine machine NOUN ajst-19342 174 6 learning learn VERB ajst-19342 174 7 utility utility NOUN ajst-19342 174 8 , , PUNCT ajst-19342 174 9 statistical statistical ADJ ajst-19342 174 10 similarity similarity NOUN ajst-19342 174 11 , , PUNCT ajst-19342 174 12 and and CCONJ ajst-19342 174 13 privacy privacy NOUN ajst-19342 174 14 exposure exposure NOUN ajst-19342 174 15 risk risk NOUN ajst-19342 174 16 , , PUNCT ajst-19342 174 17 it it PRON ajst-19342 174 18 is be AUX ajst-19342 174 19 demonstrated demonstrate VERB ajst-19342 174 20 that that SCONJ ajst-19342 174 21 introducing introduce VERB ajst-19342 174 22 differential differential ADJ ajst-19342 174 23 privacy privacy NOUN ajst-19342 174 24 techniques technique NOUN ajst-19342 174 25 into into ADP ajst-19342 174 26 gans gans PROPN ajst-19342 174 27 does do AUX ajst-19342 174 28 not not PART ajst-19342 174 29 sacrifice sacrifice VERB ajst-19342 174 30 all all DET ajst-19342 174 31 data datum NOUN ajst-19342 174 32 utility utility NOUN ajst-19342 174 33 . . PUNCT ajst-19342 175 1 although although SCONJ ajst-19342 175 2 using use VERB ajst-19342 175 3 differential differential ADJ ajst-19342 175 4 privacy privacy NOUN ajst-19342 175 5 impacts impact VERB ajst-19342 175 6 the the DET ajst-19342 175 7 quality quality NOUN ajst-19342 175 8 of of ADP ajst-19342 175 9 the the DET ajst-19342 175 10 generated generate VERB ajst-19342 175 11 data datum NOUN ajst-19342 175 12 to to ADP ajst-19342 175 13 some some DET ajst-19342 175 14 extent extent NOUN ajst-19342 175 15 , , PUNCT ajst-19342 175 16 by by ADP ajst-19342 175 17 adjusting adjust VERB ajst-19342 175 18 the the DET ajst-19342 175 19 privacy privacy NOUN ajst-19342 175 20 budget budget NOUN ajst-19342 175 21 parameters parameter NOUN ajst-19342 175 22 and and CCONJ ajst-19342 175 23 other other ADJ ajst-19342 175 24 settings setting NOUN ajst-19342 175 25 , , PUNCT ajst-19342 175 26 a a DET ajst-19342 175 27 balance balance NOUN ajst-19342 175 28 between between ADP ajst-19342 175 29 privacy privacy NOUN ajst-19342 175 30 protection protection NOUN ajst-19342 175 31 and and CCONJ ajst-19342 175 32 data datum NOUN ajst-19342 175 33 quality quality NOUN ajst-19342 175 34 can can AUX ajst-19342 175 35 be be AUX ajst-19342 175 36 found find VERB ajst-19342 175 37 . . PUNCT ajst-19342 176 1 this this PRON ajst-19342 176 2 allows allow VERB ajst-19342 176 3 the the DET ajst-19342 176 4 generated generate VERB ajst-19342 176 5 data datum NOUN ajst-19342 176 6 to to PART ajst-19342 176 7 retain retain VERB ajst-19342 176 8 practical practical ADJ ajst-19342 176 9 utility utility NOUN ajst-19342 176 10 similar similar ADJ ajst-19342 176 11 to to ADP ajst-19342 176 12 the the DET ajst-19342 176 13 real real ADJ ajst-19342 176 14 data datum NOUN ajst-19342 176 15 while while SCONJ ajst-19342 176 16 providing provide VERB ajst-19342 176 17 privacy privacy NOUN ajst-19342 176 18 protection protection NOUN ajst-19342 176 19 , , PUNCT ajst-19342 176 20 supporting support VERB ajst-19342 176 21 subsequent subsequent ADJ ajst-19342 176 22 prediction prediction NOUN ajst-19342 176 23 tasks task NOUN ajst-19342 176 24 or or CCONJ ajst-19342 176 25 academic academic ADJ ajst-19342 176 26 sharing sharing NOUN ajst-19342 176 27 . . PUNCT ajst-19342 177 1 this this DET ajst-19342 177 2 type type NOUN ajst-19342 177 3 of of ADP ajst-19342 177 4 generated generate VERB ajst-19342 177 5 data datum NOUN ajst-19342 177 6 , , PUNCT ajst-19342 177 7 which which PRON ajst-19342 177 8 offers offer VERB ajst-19342 177 9 both both DET ajst-19342 177 10 privacy privacy NOUN ajst-19342 177 11 protection protection NOUN ajst-19342 177 12 and and CCONJ ajst-19342 177 13 utility utility NOUN ajst-19342 177 14 , , PUNCT ajst-19342 177 15 is be AUX ajst-19342 177 16 important important ADJ ajst-19342 177 17 for for ADP ajst-19342 177 18 postoperative postoperative ADJ ajst-19342 177 19 risk risk NOUN ajst-19342 177 20 prediction prediction NOUN ajst-19342 177 21 because because SCONJ ajst-19342 177 22 it it PRON ajst-19342 177 23 ensures ensure VERB ajst-19342 177 24 data datum NOUN ajst-19342 177 25 privacy privacy NOUN ajst-19342 177 26 and and CCONJ ajst-19342 177 27 security security NOUN ajst-19342 177 28 , , PUNCT ajst-19342 177 29 and and CCONJ ajst-19342 177 30 can can AUX ajst-19342 177 31 be be AUX ajst-19342 177 32 used use VERB ajst-19342 177 33 for for ADP ajst-19342 177 34 academic academic ADJ ajst-19342 177 35 sharing sharing NOUN ajst-19342 177 36 , , PUNCT ajst-19342 177 37 providing provide VERB ajst-19342 177 38 researchers researcher NOUN ajst-19342 177 39 with with ADP ajst-19342 177 40 a a DET ajst-19342 177 41 wider wide ADJ ajst-19342 177 42 range range NOUN ajst-19342 177 43 of of ADP ajst-19342 177 44 data datum NOUN ajst-19342 177 45 resources resource NOUN ajst-19342 177 46 and and CCONJ ajst-19342 177 47 promoting promote VERB ajst-19342 177 48 collaborative collaborative ADJ ajst-19342 177 49 academic academic ADJ ajst-19342 177 50 research research NOUN ajst-19342 177 51 . . PUNCT ajst-19342 178 1 5 5 X ajst-19342 178 2 . . X ajst-19342 178 3 conclusion conclusion NOUN ajst-19342 178 4 dp dp NOUN ajst-19342 178 5 - - PUNCT ajst-19342 178 6 actgan actgan ADJ ajst-19342 178 7 is be AUX ajst-19342 178 8 capable capable ADJ ajst-19342 178 9 of of ADP ajst-19342 178 10 addressing address VERB ajst-19342 178 11 the the DET ajst-19342 178 12 challenge challenge NOUN ajst-19342 178 13 of of ADP ajst-19342 178 14 accessing access VERB ajst-19342 178 15 real real ADJ ajst-19342 178 16 personal personal ADJ ajst-19342 178 17 health health NOUN ajst-19342 178 18 data datum NOUN ajst-19342 178 19 which which PRON ajst-19342 178 20 is be AUX ajst-19342 178 21 often often ADV ajst-19342 178 22 restricted restrict VERB ajst-19342 178 23 due due ADP ajst-19342 178 24 to to ADP ajst-19342 178 25 privacy privacy NOUN ajst-19342 178 26 policies policy NOUN ajst-19342 178 27 . . PUNCT ajst-19342 179 1 doctors doctor NOUN ajst-19342 179 2 can can AUX ajst-19342 179 3 utilize utilize VERB ajst-19342 179 4 the the DET ajst-19342 179 5 data datum NOUN ajst-19342 179 6 generated generate VERB ajst-19342 179 7 by by ADP ajst-19342 179 8 this this DET ajst-19342 179 9 model model NOUN ajst-19342 179 10 for for ADP ajst-19342 179 11 academic academic ADJ ajst-19342 179 12 sharing sharing NOUN ajst-19342 179 13 , , PUNCT ajst-19342 179 14 offering offer VERB ajst-19342 179 15 a a DET ajst-19342 179 16 viable viable ADJ ajst-19342 179 17 solution solution NOUN ajst-19342 179 18 for for ADP ajst-19342 179 19 medical medical ADJ ajst-19342 179 20 research research NOUN ajst-19342 179 21 and and CCONJ ajst-19342 179 22 data datum NOUN ajst-19342 179 23 analysis analysis NOUN ajst-19342 179 24 that that PRON ajst-19342 179 25 adheres adhere VERB ajst-19342 179 26 to to ADP ajst-19342 179 27 privacy privacy NOUN ajst-19342 179 28 regulations regulation NOUN ajst-19342 179 29 , , PUNCT ajst-19342 179 30 thereby thereby ADV ajst-19342 179 31 overcoming overcome VERB ajst-19342 179 32 the the DET ajst-19342 179 33 issue issue NOUN ajst-19342 179 34 of of ADP ajst-19342 179 35 data datum NOUN ajst-19342 179 36 scarcity scarcity NOUN ajst-19342 179 37 caused cause VERB ajst-19342 179 38 by by ADP ajst-19342 179 39 privacy privacy NOUN ajst-19342 179 40 concerns concern NOUN ajst-19342 179 41 . . PUNCT ajst-19342 180 1 references reference NOUN ajst-19342 180 2 [ [ X ajst-19342 180 3 1 1 X ajst-19342 180 4 ] ] X ajst-19342 180 5 kalkman kalkman PROPN ajst-19342 180 6 s s PROPN ajst-19342 180 7 , , PUNCT ajst-19342 180 8 van van PROPN ajst-19342 180 9 delden delden PROPN ajst-19342 180 10 j j PROPN ajst-19342 180 11 , , PUNCT ajst-19342 180 12 banerjee banerjee PROPN ajst-19342 180 13 a a PROPN ajst-19342 180 14 , , PUNCT ajst-19342 180 15 et et PROPN ajst-19342 180 16 al al PROPN ajst-19342 180 17 . . PUNCT ajst-19342 180 18 patients patient NOUN ajst-19342 180 19 โ€™ ' PUNCT ajst-19342 180 20 and and CCONJ ajst-19342 180 21 public public ADJ ajst-19342 180 22 views view NOUN ajst-19342 180 23 and and CCONJ ajst-19342 180 24 attitudes attitude NOUN ajst-19342 180 25 towards towards ADP ajst-19342 180 26 the the DET ajst-19342 180 27 sharing sharing NOUN ajst-19342 180 28 of of ADP ajst-19342 180 29 health health NOUN ajst-19342 180 30 data datum NOUN ajst-19342 180 31 for for ADP ajst-19342 180 32 research research NOUN ajst-19342 180 33 : : PUNCT ajst-19342 180 34 a a DET ajst-19342 180 35 narrative narrative ADJ ajst-19342 180 36 review review NOUN ajst-19342 180 37 of of ADP ajst-19342 180 38 the the DET ajst-19342 180 39 empirical empirical ADJ ajst-19342 180 40 evidence[j evidence[j NOUN ajst-19342 180 41 ] ] PUNCT ajst-19342 180 42 . . PUNCT ajst-19342 181 1 journal journal PROPN ajst-19342 181 2 of of ADP ajst-19342 181 3 medical medical ADJ ajst-19342 181 4 ethics ethic NOUN ajst-19342 181 5 , , PUNCT ajst-19342 181 6 2022 2022 NUM ajst-19342 181 7 , , PUNCT ajst-19342 181 8 48(1 48(1 NOUN ajst-19342 181 9 ): ): PUNCT ajst-19342 181 10 3 3 NUM ajst-19342 181 11 - - SYM ajst-19342 181 12 13 13 NUM ajst-19342 181 13 . . PUNCT ajst-19342 182 1 [ [ X ajst-19342 182 2 2 2 NUM ajst-19342 182 3 ] ] X ajst-19342 182 4 goodfellow goodfellow PROPN ajst-19342 182 5 , , PUNCT ajst-19342 182 6 i. i. PROPN ajst-19342 182 7 j. j. PROPN ajst-19342 182 8 , , PUNCT ajst-19342 182 9 pouget pouget NOUN ajst-19342 182 10 - - PUNCT ajst-19342 182 11 abadie abadie ADJ ajst-19342 182 12 , , PUNCT ajst-19342 182 13 j. j. PROPN ajst-19342 182 14 , , PUNCT ajst-19342 182 15 mirza mirza PROPN ajst-19342 182 16 , , PUNCT ajst-19342 182 17 m. m. NOUN ajst-19342 182 18 , , PUNCT ajst-19342 182 19 xu xu PROPN ajst-19342 182 20 , , PUNCT ajst-19342 182 21 b. b. PROPN ajst-19342 182 22 , , PUNCT ajst-19342 182 23 wardefarley wardefarley PROPN ajst-19342 182 24 , , PUNCT ajst-19342 182 25 d. d. PROPN ajst-19342 182 26 , , PUNCT ajst-19342 182 27 ozair ozair PROPN ajst-19342 182 28 , , PUNCT ajst-19342 182 29 s. s. PROPN ajst-19342 182 30 , , PUNCT ajst-19342 182 31 ... ... PUNCT ajst-19342 182 32 & & CCONJ ajst-19342 182 33 bengio bengio PROPN ajst-19342 182 34 , , PUNCT ajst-19342 182 35 y. y. PROPN ajst-19342 182 36 ( ( PUNCT ajst-19342 182 37 2014 2014 NUM ajst-19342 182 38 ) ) PUNCT ajst-19342 182 39 . . PUNCT ajst-19342 183 1 generative generative ADJ ajst-19342 183 2 adversarial adversarial ADJ ajst-19342 183 3 nets net NOUN ajst-19342 183 4 . . PUNCT ajst-19342 184 1 in in ADP ajst-19342 184 2 advances advance NOUN ajst-19342 184 3 in in ADP ajst-19342 184 4 neural neural ADJ ajst-19342 184 5 information information NOUN ajst-19342 184 6 processing processing NOUN ajst-19342 184 7 systems system NOUN ajst-19342 184 8 ( ( PUNCT ajst-19342 184 9 pp pp ADJ ajst-19342 184 10 . . PUNCT ajst-19342 184 11 2672 2672 NUM ajst-19342 184 12 - - SYM ajst-19342 184 13 2680 2680 NUM ajst-19342 184 14 ) ) PUNCT ajst-19342 184 15 . . PUNCT ajst-19342 185 1 [ [ X ajst-19342 185 2 3 3 NUM ajst-19342 185 3 ] ] X ajst-19342 185 4 antoniou antoniou NOUN ajst-19342 185 5 , , PUNCT ajst-19342 185 6 a. a. NOUN ajst-19342 185 7 , , PUNCT ajst-19342 185 8 storkey storkey NOUN ajst-19342 185 9 , , PUNCT ajst-19342 185 10 a. a. PROPN ajst-19342 185 11 , , PUNCT ajst-19342 185 12 & & CCONJ ajst-19342 185 13 edwards edwards PROPN ajst-19342 185 14 , , PUNCT ajst-19342 185 15 h. h. PROPN ajst-19342 185 16 ( ( PUNCT ajst-19342 185 17 2017 2017 NUM ajst-19342 185 18 ) ) PUNCT ajst-19342 185 19 . . PUNCT ajst-19342 186 1 data datum NOUN ajst-19342 186 2 augmentation augmentation NOUN ajst-19342 186 3 generative generative VERB ajst-19342 186 4 adversarial adversarial ADJ ajst-19342 186 5 networks network NOUN ajst-19342 186 6 . . PUNCT ajst-19342 187 1 arxiv arxiv PROPN ajst-19342 187 2 preprint preprint VERB ajst-19342 187 3 arxiv:1711.04340 arxiv:1711.04340 ADV ajst-19342 187 4 . . PUNCT ajst-19342 188 1 [ [ X ajst-19342 188 2 4 4 X ajst-19342 188 3 ] ] X ajst-19342 188 4 skandarani skandarani PROPN ajst-19342 188 5 y y PROPN ajst-19342 188 6 , , PUNCT ajst-19342 188 7 painchaud painchaud NOUN ajst-19342 188 8 n n CCONJ ajst-19342 188 9 , , PUNCT ajst-19342 188 10 jodoin jodoin NOUN ajst-19342 188 11 p p PROPN ajst-19342 188 12 m m PROPN ajst-19342 188 13 , , PUNCT ajst-19342 188 14 et et PROPN ajst-19342 188 15 al al PROPN ajst-19342 188 16 . . PROPN ajst-19342 188 17 on on ADP ajst-19342 188 18 the the DET ajst-19342 188 19 effectiveness effectiveness NOUN ajst-19342 188 20 of of ADP ajst-19342 188 21 gan gan PROPN ajst-19342 188 22 generated generate VERB ajst-19342 188 23 cardiac cardiac ADJ ajst-19342 188 24 mris mris NOUN ajst-19342 188 25 for for ADP ajst-19342 188 26 segmentation[j segmentation[j PROPN ajst-19342 188 27 ] ] PUNCT ajst-19342 188 28 . . PUNCT ajst-19342 189 1 arxiv arxiv PROPN ajst-19342 189 2 preprint preprint PROPN ajst-19342 189 3 arxiv:2005.09026 arxiv:2005.09026 PROPN ajst-19342 189 4 , , PUNCT ajst-19342 189 5 2020 2020 NUM ajst-19342 189 6 . . PUNCT ajst-19342 190 1 [ [ X ajst-19342 190 2 5 5 X ajst-19342 190 3 ] ] PUNCT ajst-19342 190 4 chen chen PROPN ajst-19342 190 5 r r PROPN ajst-19342 190 6 j j PROPN ajst-19342 190 7 , , PUNCT ajst-19342 190 8 lu lu PROPN ajst-19342 190 9 m m PROPN ajst-19342 190 10 y y PROPN ajst-19342 190 11 , , PUNCT ajst-19342 190 12 chen chen PROPN ajst-19342 190 13 t t PROPN ajst-19342 190 14 y y PROPN ajst-19342 190 15 , , PUNCT ajst-19342 190 16 et et PROPN ajst-19342 190 17 al al PROPN ajst-19342 190 18 . . PUNCT ajst-19342 191 1 synthetic synthetic ADJ ajst-19342 191 2 data datum NOUN ajst-19342 191 3 in in ADP ajst-19342 191 4 machine machine NOUN ajst-19342 191 5 learning learn VERB ajst-19342 191 6 for for ADP ajst-19342 191 7 medicine medicine NOUN ajst-19342 191 8 and and CCONJ ajst-19342 191 9 healthcare[j healthcare[j NOUN ajst-19342 191 10 ] ] PUNCT ajst-19342 191 11 . . PUNCT ajst-19342 192 1 nature nature PROPN ajst-19342 192 2 biomedical biomedical ADJ ajst-19342 192 3 engineering engineering NOUN ajst-19342 192 4 , , PUNCT ajst-19342 192 5 2021 2021 NUM ajst-19342 192 6 , , PUNCT ajst-19342 192 7 5(6 5(6 NUM ajst-19342 192 8 ): ): PUNCT ajst-19342 192 9 493 493 NUM ajst-19342 192 10 - - SYM ajst-19342 192 11 497 497 NUM ajst-19342 192 12 . . PUNCT ajst-19342 193 1 [ [ X ajst-19342 193 2 6 6 NUM ajst-19342 193 3 ] ] PUNCT ajst-19342 193 4 ma ma PROPN ajst-19342 193 5 c c PROPN ajst-19342 193 6 , , PUNCT ajst-19342 193 7 li li PROPN ajst-19342 193 8 j j PROPN ajst-19342 193 9 , , PUNCT ajst-19342 193 10 ding ding NOUN ajst-19342 193 11 m m PROPN ajst-19342 193 12 , , PUNCT ajst-19342 193 13 et et PROPN ajst-19342 193 14 al al PROPN ajst-19342 193 15 . . PUNCT ajst-19342 193 16 rdp rdp PROPN ajst-19342 193 17 - - PUNCT ajst-19342 193 18 gan gan ADJ ajst-19342 193 19 : : PUNCT ajst-19342 193 20 ar\'enyi ar\'enyi ADJ ajst-19342 193 21 - - PUNCT ajst-19342 193 22 differential differential NOUN ajst-19342 193 23 privacy privacy NOUN ajst-19342 193 24 based base VERB ajst-19342 193 25 generative generative ADJ ajst-19342 193 26 adversarial adversarial ADJ ajst-19342 193 27 network[j network[j PROPN ajst-19342 193 28 ] ] PUNCT ajst-19342 193 29 . . PUNCT ajst-19342 194 1 arxiv arxiv PROPN ajst-19342 194 2 preprint preprint NOUN ajst-19342 194 3 arxiv:2007.02056 arxiv:2007.02056 PROPN ajst-19342 194 4 , , PUNCT ajst-19342 194 5 2020 2020 NUM ajst-19342 194 6 . . PUNCT ajst-19342 195 1 [ [ X ajst-19342 195 2 7 7 X ajst-19342 195 3 ] ] SYM ajst-19342 195 4 hitaj hitaj PROPN ajst-19342 195 5 b b PROPN ajst-19342 195 6 , , PUNCT ajst-19342 195 7 ateniese ateniese PROPN ajst-19342 195 8 g g PROPN ajst-19342 195 9 , , PUNCT ajst-19342 195 10 perez perez PROPN ajst-19342 195 11 - - PUNCT ajst-19342 195 12 cruz cruz PROPN ajst-19342 195 13 f. f. PROPN ajst-19342 195 14 deep deep ADJ ajst-19342 195 15 models model NOUN ajst-19342 195 16 under under ADP ajst-19342 195 17 the the DET ajst-19342 195 18 gan gan NOUN ajst-19342 195 19 : : PUNCT ajst-19342 195 20 information information NOUN ajst-19342 195 21 leakage leakage NOUN ajst-19342 195 22 from from ADP ajst-19342 195 23 collaborative collaborative ADJ ajst-19342 195 24 deep deep ADJ ajst-19342 195 25 learning[c]//proceedings learning[c]//proceeding NOUN ajst-19342 195 26 of of ADP ajst-19342 195 27 the the DET ajst-19342 195 28 2017 2017 NUM ajst-19342 195 29 acm acm PROPN ajst-19342 195 30 sigsac sigsac NOUN ajst-19342 195 31 conference conference NOUN ajst-19342 195 32 on on ADP ajst-19342 195 33 computer computer NOUN ajst-19342 195 34 and and CCONJ ajst-19342 195 35 communications communication NOUN ajst-19342 195 36 security security NOUN ajst-19342 195 37 . . PUNCT ajst-19342 196 1 2017 2017 NUM ajst-19342 196 2 : : PUNCT ajst-19342 196 3 603 603 NUM ajst-19342 196 4 - - SYM ajst-19342 196 5 618 618 NUM ajst-19342 196 6 . . PUNCT ajst-19342 197 1 [ [ X ajst-19342 197 2 8 8 NUM ajst-19342 197 3 ] ] SYM ajst-19342 197 4 hu hu PROPN ajst-19342 197 5 h h PROPN ajst-19342 197 6 , , PUNCT ajst-19342 197 7 pang pang PROPN ajst-19342 197 8 j. j. PROPN ajst-19342 197 9 membership membership PROPN ajst-19342 197 10 inference inference NOUN ajst-19342 197 11 attacks attack NOUN ajst-19342 197 12 against against ADP ajst-19342 197 13 gans gan NOUN ajst-19342 197 14 by by ADP ajst-19342 197 15 leveraging leverage VERB ajst-19342 197 16 over over ADP ajst-19342 197 17 - - PUNCT ajst-19342 197 18 representation representation NOUN ajst-19342 197 19 regions[c]//proceedings regions[c]//proceeding NOUN ajst-19342 197 20 of of ADP ajst-19342 197 21 the the DET ajst-19342 197 22 2021 2021 NUM ajst-19342 197 23 acm acm PROPN ajst-19342 197 24 sigsac sigsac NOUN ajst-19342 197 25 conference conference NOUN ajst-19342 197 26 on on ADP ajst-19342 197 27 computer computer NOUN ajst-19342 197 28 and and CCONJ ajst-19342 197 29 communications communication NOUN ajst-19342 197 30 security security NOUN ajst-19342 197 31 . . PUNCT ajst-19342 198 1 2021 2021 NUM ajst-19342 198 2 : : PUNCT ajst-19342 198 3 2387 2387 NUM ajst-19342 198 4 - - SYM ajst-19342 198 5 2389 2389 NUM ajst-19342 198 6 . . PUNCT ajst-19342 199 1 [ [ X ajst-19342 199 2 9 9 NUM ajst-19342 199 3 ] ] X ajst-19342 199 4 chen chen PROPN ajst-19342 200 1 d d PROPN ajst-19342 200 2 , , PUNCT ajst-19342 200 3 yu yu PROPN ajst-19342 200 4 n n PRON ajst-19342 200 5 , , PUNCT ajst-19342 200 6 zhang zhang PROPN ajst-19342 200 7 y y PROPN ajst-19342 200 8 , , PUNCT ajst-19342 200 9 et et PROPN ajst-19342 200 10 al al PROPN ajst-19342 200 11 . . PUNCT ajst-19342 200 12 gan gan PROPN ajst-19342 200 13 - - PUNCT ajst-19342 200 14 leaks leaks PROPN ajst-19342 200 15 : : PUNCT ajst-19342 200 16 a a DET ajst-19342 200 17 taxonomy taxonomy NOUN ajst-19342 200 18 of of ADP ajst-19342 200 19 membership membership NOUN ajst-19342 200 20 inference inference NOUN ajst-19342 200 21 attacks attack NOUN ajst-19342 200 22 against against ADP ajst-19342 200 23 generative generative ADJ ajst-19342 200 24 models[c]//proceedings models[c]//proceeding NOUN ajst-19342 200 25 of of ADP ajst-19342 200 26 the the DET ajst-19342 200 27 2020 2020 NUM ajst-19342 200 28 acm acm PROPN ajst-19342 200 29 sigsac sigsac NOUN ajst-19342 200 30 conference conference NOUN ajst-19342 200 31 on on ADP ajst-19342 200 32 computer computer NOUN ajst-19342 200 33 and and CCONJ ajst-19342 200 34 communications communication NOUN ajst-19342 200 35 security security NOUN ajst-19342 200 36 . . PUNCT ajst-19342 201 1 2020 2020 NUM ajst-19342 201 2 : : PUNCT ajst-19342 201 3 343 343 NUM ajst-19342 201 4 - - SYM ajst-19342 201 5 362 362 NUM ajst-19342 201 6 . . PUNCT ajst-19342 202 1 [ [ X ajst-19342 202 2 10 10 NUM ajst-19342 202 3 ] ] X ajst-19342 202 4 frid frid PROPN ajst-19342 202 5 - - PUNCT ajst-19342 202 6 adar adar PROPN ajst-19342 202 7 , , PUNCT ajst-19342 202 8 m. m. NOUN ajst-19342 202 9 , , PUNCT ajst-19342 202 10 diamant diamant NOUN ajst-19342 202 11 , , PUNCT ajst-19342 202 12 i. i. PROPN ajst-19342 202 13 , , PUNCT ajst-19342 202 14 klang klang PROPN ajst-19342 202 15 , , PUNCT ajst-19342 202 16 e. e. PROPN ajst-19342 202 17 , , PUNCT ajst-19342 202 18 amitai amitai NOUN ajst-19342 202 19 , , PUNCT ajst-19342 202 20 m. m. NOUN ajst-19342 202 21 , , PUNCT ajst-19342 202 22 goldberger goldberger NOUN ajst-19342 202 23 , , PUNCT ajst-19342 202 24 j. j. PROPN ajst-19342 202 25 , , PUNCT ajst-19342 202 26 & & CCONJ ajst-19342 202 27 greenspan greenspan PROPN ajst-19342 202 28 , , PUNCT ajst-19342 202 29 h. h. PROPN ajst-19342 202 30 ( ( PUNCT ajst-19342 202 31 2018 2018 NUM ajst-19342 202 32 ) ) PUNCT ajst-19342 202 33 . . PUNCT ajst-19342 203 1 gan gin VERB ajst-19342 203 2 - - PUNCT ajst-19342 203 3 based base VERB ajst-19342 203 4 synthetic synthetic ADJ ajst-19342 203 5 medical medical ADJ ajst-19342 203 6 image image NOUN ajst-19342 203 7 augmentation augmentation NOUN ajst-19342 203 8 for for ADP ajst-19342 203 9 increased increase VERB ajst-19342 203 10 cnn cnn PROPN ajst-19342 203 11 performance performance NOUN ajst-19342 203 12 in in ADP ajst-19342 203 13 liver liver NOUN ajst-19342 203 14 lesion lesion NOUN ajst-19342 203 15 classification classification NOUN ajst-19342 203 16 . . PUNCT ajst-19342 204 1 neurocomputing neurocomputing NOUN ajst-19342 204 2 , , PUNCT ajst-19342 204 3 321 321 NUM ajst-19342 204 4 , , PUNCT ajst-19342 204 5 321 321 NUM ajst-19342 204 6 - - SYM ajst-19342 204 7 331 331 NUM ajst-19342 204 8 . . PUNCT ajst-19342 205 1 [ [ X ajst-19342 205 2 11 11 NUM ajst-19342 205 3 ] ] SYM ajst-19342 205 4 mao mao NOUN ajst-19342 205 5 x x PROPN ajst-19342 205 6 , , PUNCT ajst-19342 205 7 li li PROPN ajst-19342 205 8 q q PROPN ajst-19342 205 9 , , PUNCT ajst-19342 205 10 xie xie PROPN ajst-19342 205 11 h h PROPN ajst-19342 205 12 , , PUNCT ajst-19342 205 13 et et PROPN ajst-19342 205 14 al al PROPN ajst-19342 205 15 . . PROPN ajst-19342 206 1 least least ADJ ajst-19342 206 2 squares square NOUN ajst-19342 206 3 generative generative VERB ajst-19342 206 4 adversarial adversarial ADJ ajst-19342 206 5 networks[c]//proceedings networks[c]//proceeding NOUN ajst-19342 206 6 of of ADP ajst-19342 206 7 the the DET ajst-19342 206 8 ieee ieee NOUN ajst-19342 206 9 international international PROPN ajst-19342 206 10 conference conference NOUN ajst-19342 206 11 on on ADP ajst-19342 206 12 computer computer NOUN ajst-19342 206 13 vision vision NOUN ajst-19342 206 14 . . PUNCT ajst-19342 207 1 2017 2017 NUM ajst-19342 207 2 : : PUNCT ajst-19342 207 3 2794 2794 NUM ajst-19342 207 4 - - SYM ajst-19342 207 5 2802 2802 NUM ajst-19342 207 6 . . PUNCT ajst-19342 208 1 [ [ X ajst-19342 208 2 12 12 NUM ajst-19342 208 3 ] ] PUNCT ajst-19342 208 4 xu xu PROPN ajst-19342 208 5 l l NOUN ajst-19342 208 6 , , PUNCT ajst-19342 208 7 skoularidou skoularidou NOUN ajst-19342 208 8 m m PROPN ajst-19342 208 9 , , PUNCT ajst-19342 208 10 cuesta cuesta PROPN ajst-19342 208 11 - - PUNCT ajst-19342 208 12 infante infante PROPN ajst-19342 208 13 a a PROPN ajst-19342 208 14 , , PUNCT ajst-19342 208 15 et et PROPN ajst-19342 208 16 al al PROPN ajst-19342 208 17 . . PROPN ajst-19342 209 1 modeling model VERB ajst-19342 209 2 tabular tabular PROPN ajst-19342 209 3 data datum NOUN ajst-19342 209 4 using use VERB ajst-19342 209 5 conditional conditional ADJ ajst-19342 209 6 gan[j gan[j PROPN ajst-19342 209 7 ] ] PUNCT ajst-19342 209 8 . . PUNCT ajst-19342 210 1 advances advance NOUN ajst-19342 210 2 in in ADP ajst-19342 210 3 neural neural ADJ ajst-19342 210 4 information information NOUN ajst-19342 210 5 processing processing NOUN ajst-19342 210 6 systems system NOUN ajst-19342 210 7 , , PUNCT ajst-19342 210 8 2019 2019 NUM ajst-19342 210 9 , , PUNCT ajst-19342 210 10 32 32 NUM ajst-19342 210 11 . . PUNCT ajst-19342 211 1 [ [ X ajst-19342 211 2 13 13 NUM ajst-19342 211 3 ] ] PUNCT ajst-19342 211 4 yahi yahi PROPN ajst-19342 211 5 a a X ajst-19342 211 6 , , PUNCT ajst-19342 211 7 vanguri vanguri PROPN ajst-19342 211 8 r r PROPN ajst-19342 211 9 , , PUNCT ajst-19342 211 10 elhadad elhadad NOUN ajst-19342 211 11 n n CCONJ ajst-19342 211 12 , , PUNCT ajst-19342 211 13 et et PROPN ajst-19342 211 14 al al PROPN ajst-19342 211 15 . . PROPN ajst-19342 211 16 generative generative ADJ ajst-19342 211 17 adversarial adversarial ADJ ajst-19342 211 18 networks network NOUN ajst-19342 211 19 for for ADP ajst-19342 211 20 electronic electronic ADJ ajst-19342 211 21 health health NOUN ajst-19342 211 22 records record NOUN ajst-19342 211 23 : : PUNCT ajst-19342 211 24 a a DET ajst-19342 211 25 framework framework NOUN ajst-19342 211 26 for for ADP ajst-19342 211 27 exploring explore VERB ajst-19342 211 28 and and CCONJ ajst-19342 211 29 evaluating evaluate VERB ajst-19342 211 30 methods method NOUN ajst-19342 211 31 for for ADP ajst-19342 211 32 predicting predict VERB ajst-19342 211 33 drug drug NOUN ajst-19342 211 34 - - PUNCT ajst-19342 211 35 induced induce VERB ajst-19342 211 36 laboratory laboratory NOUN ajst-19342 211 37 test test NOUN ajst-19342 211 38 trajectories[j trajectories[j NOUN ajst-19342 211 39 ] ] PUNCT ajst-19342 211 40 . . PUNCT ajst-19342 212 1 arxiv arxiv PROPN ajst-19342 212 2 preprint preprint VERB ajst-19342 212 3 arxiv:1712.00164 arxiv:1712.00164 NOUN ajst-19342 212 4 , , PUNCT ajst-19342 212 5 2017 2017 NUM ajst-19342 212 6 . . PUNCT ajst-19342 213 1 [ [ X ajst-19342 213 2 14 14 NUM ajst-19342 213 3 ] ] PUNCT ajst-19342 213 4 choi choi NOUN ajst-19342 213 5 e e PROPN ajst-19342 213 6 , , PUNCT ajst-19342 213 7 biswal biswal NOUN ajst-19342 213 8 s s PROPN ajst-19342 213 9 , , PUNCT ajst-19342 213 10 malin malin PROPN ajst-19342 213 11 b b PROPN ajst-19342 213 12 , , PUNCT ajst-19342 213 13 et et PROPN ajst-19342 213 14 al al PROPN ajst-19342 213 15 . . PUNCT ajst-19342 214 1 generating generate VERB ajst-19342 214 2 multi multi ADJ ajst-19342 214 3 - - ADJ ajst-19342 214 4 label label ADJ ajst-19342 214 5 discrete discrete ADJ ajst-19342 214 6 patient patient NOUN ajst-19342 214 7 records record NOUN ajst-19342 214 8 using use VERB ajst-19342 214 9 generative generative ADJ ajst-19342 214 10 adversarial adversarial ADJ ajst-19342 214 11 networks[c]//machine networks[c]//machine PROPN ajst-19342 214 12 learning learn VERB ajst-19342 214 13 for for ADP ajst-19342 214 14 healthcare healthcare NOUN ajst-19342 214 15 conference conference NOUN ajst-19342 214 16 . . PUNCT ajst-19342 215 1 pmlr pmlr NOUN ajst-19342 215 2 , , PUNCT ajst-19342 215 3 2017 2017 NUM ajst-19342 215 4 : : PUNCT ajst-19342 215 5 286 286 NUM ajst-19342 215 6 - - SYM ajst-19342 215 7 305 305 NUM ajst-19342 215 8 . . PUNCT ajst-19342 216 1 [ [ X ajst-19342 216 2 15 15 NUM ajst-19342 216 3 ] ] X ajst-19342 216 4 dwork dwork ADJ ajst-19342 216 5 c c PROPN ajst-19342 216 6 , , PUNCT ajst-19342 216 7 roth roth PROPN ajst-19342 216 8 a. a. NOUN ajst-19342 216 9 the the DET ajst-19342 216 10 algorithmic algorithmic ADJ ajst-19342 216 11 foundations foundation NOUN ajst-19342 216 12 of of ADP ajst-19342 216 13 differential differential NOUN ajst-19342 216 14 privacy[j privacy[j PROPN ajst-19342 216 15 ] ] PUNCT ajst-19342 216 16 . . PUNCT ajst-19342 217 1 foundations foundation NOUN ajst-19342 217 2 and and CCONJ ajst-19342 217 3 trends trend NOUN ajst-19342 217 4 ยฎ ยฎ NOUN ajst-19342 217 5 in in ADP ajst-19342 217 6 theoretical theoretical ADJ ajst-19342 217 7 computer computer NOUN ajst-19342 217 8 science science NOUN ajst-19342 217 9 , , PUNCT ajst-19342 217 10 2014 2014 NUM ajst-19342 217 11 , , PUNCT ajst-19342 217 12 9(3โ€“4 9(3โ€“4 NUM ajst-19342 217 13 ): ): PUNCT ajst-19342 217 14 211 211 NUM ajst-19342 217 15 - - SYM ajst-19342 217 16 407 407 NUM ajst-19342 217 17 . . PUNCT ajst-19342 218 1 [ [ X ajst-19342 218 2 16 16 NUM ajst-19342 218 3 ] ] PUNCT ajst-19342 218 4 mironov mironov PROPN ajst-19342 218 5 i. i. PROPN ajst-19342 218 6 rรฉnyi rรฉnyi PROPN ajst-19342 218 7 differential differential PROPN ajst-19342 218 8 privacy[c]//2017 privacy[c]//2017 X ajst-19342 218 9 ieee ieee NOUN ajst-19342 218 10 30th 30th ADJ ajst-19342 218 11 computer computer NOUN ajst-19342 218 12 security security NOUN ajst-19342 218 13 foundations foundation NOUN ajst-19342 218 14 symposium symposium NOUN ajst-19342 218 15 ( ( PUNCT ajst-19342 218 16 csf csf PROPN ajst-19342 218 17 ) ) PUNCT ajst-19342 218 18 . . PUNCT ajst-19342 219 1 ieee ieee PROPN ajst-19342 219 2 , , PUNCT ajst-19342 219 3 2017 2017 NUM ajst-19342 219 4 : : PUNCT ajst-19342 219 5 263 263 NUM ajst-19342 219 6 - - SYM ajst-19342 219 7 275 275 NUM ajst-19342 219 8 . . PUNCT ajst-19342 220 1 [ [ X ajst-19342 220 2 17 17 NUM ajst-19342 220 3 ] ] X ajst-19342 220 4 acs acs NOUN ajst-19342 220 5 g g PROPN ajst-19342 220 6 , , PUNCT ajst-19342 220 7 melis melis PROPN ajst-19342 220 8 l l PROPN ajst-19342 220 9 , , PUNCT ajst-19342 220 10 castelluccia castelluccia PROPN ajst-19342 220 11 c c AUX ajst-19342 220 12 , , PUNCT ajst-19342 220 13 et et PROPN ajst-19342 220 14 al al PROPN ajst-19342 220 15 . . PUNCT ajst-19342 221 1 differentially differentially ADV ajst-19342 221 2 private private ADJ ajst-19342 221 3 mixture mixture NOUN ajst-19342 221 4 of of ADP ajst-19342 221 5 generative generative ADJ ajst-19342 221 6 neural neural ADJ ajst-19342 221 7 networks[j networks[j PROPN ajst-19342 221 8 ] ] X ajst-19342 221 9 . . PUNCT ajst-19342 222 1 ieee ieee NOUN ajst-19342 222 2 transactions transaction NOUN ajst-19342 222 3 on on ADP ajst-19342 222 4 knowledge knowledge NOUN ajst-19342 222 5 and and CCONJ ajst-19342 222 6 data datum NOUN ajst-19342 222 7 engineering engineering NOUN ajst-19342 222 8 , , PUNCT ajst-19342 222 9 2018 2018 NUM ajst-19342 222 10 , , PUNCT ajst-19342 222 11 31(6 31(6 NUM ajst-19342 222 12 ): ): PUNCT ajst-19342 222 13 1109 1109 NUM ajst-19342 222 14 - - SYM ajst-19342 222 15 1121 1121 NUM ajst-19342 222 16 . . PUNCT ajst-19342 223 1 [ [ X ajst-19342 223 2 18 18 NUM ajst-19342 223 3 ] ] PUNCT ajst-19342 223 4 xie xie PROPN ajst-19342 223 5 l l PROPN ajst-19342 223 6 , , PUNCT ajst-19342 223 7 lin lin PROPN ajst-19342 223 8 k k PROPN ajst-19342 223 9 , , PUNCT ajst-19342 223 10 wang wang PROPN ajst-19342 223 11 s s PROPN ajst-19342 223 12 , , PUNCT ajst-19342 223 13 et et PROPN ajst-19342 223 14 al al PROPN ajst-19342 223 15 . . PUNCT ajst-19342 224 1 differentially differentially ADV ajst-19342 224 2 private private ADJ ajst-19342 224 3 generative generative ADJ ajst-19342 224 4 adversarial adversarial ADJ ajst-19342 224 5 network[j network[j NOUN ajst-19342 224 6 ] ] PUNCT ajst-19342 224 7 . . PUNCT ajst-19342 225 1 arxiv arxiv PROPN ajst-19342 225 2 preprint preprint PROPN ajst-19342 225 3 arxiv:1802.06739 arxiv:1802.06739 PROPN ajst-19342 225 4 , , PUNCT ajst-19342 225 5 2018 2018 NUM ajst-19342 225 6 . . PUNCT ajst-19342 226 1 [ [ X ajst-19342 226 2 19 19 NUM ajst-19342 226 3 ] ] X ajst-19342 226 4 gulrajani gulrajani PROPN ajst-19342 226 5 i i PROPN ajst-19342 226 6 , , PUNCT ajst-19342 226 7 ahmed ahmed PROPN ajst-19342 226 8 f f PROPN ajst-19342 226 9 , , PUNCT ajst-19342 226 10 arjovsky arjovsky PROPN ajst-19342 226 11 m m PROPN ajst-19342 226 12 , , PUNCT ajst-19342 226 13 et et PROPN ajst-19342 226 14 al al PROPN ajst-19342 226 15 . . PROPN ajst-19342 226 16 improved improve VERB ajst-19342 226 17 training training NOUN ajst-19342 226 18 of of ADP ajst-19342 226 19 wasserstein wasserstein PROPN ajst-19342 226 20 gans[j gans[j NOUN ajst-19342 226 21 ] ] PUNCT ajst-19342 226 22 . . PUNCT ajst-19342 227 1 advances advance NOUN ajst-19342 227 2 in in ADP ajst-19342 227 3 neural neural ADJ ajst-19342 227 4 information information NOUN ajst-19342 227 5 processing processing NOUN ajst-19342 227 6 systems system NOUN ajst-19342 227 7 , , PUNCT ajst-19342 227 8 2017 2017 NUM ajst-19342 227 9 , , PUNCT ajst-19342 227 10 30 30 NUM ajst-19342 227 11 . . PUNCT ajst-19342 228 1 [ [ X ajst-19342 228 2 20 20 NUM ajst-19342 228 3 ] ] X ajst-19342 228 4 huang huang PROPN ajst-19342 228 5 z z PROPN ajst-19342 228 6 , , PUNCT ajst-19342 228 7 mitra mitra PROPN ajst-19342 228 8 s s PROPN ajst-19342 228 9 , , PUNCT ajst-19342 228 10 dullerud dullerud ADJ ajst-19342 228 11 g. g. PROPN ajst-19342 228 12 differentially differentially ADV ajst-19342 228 13 private private ADJ ajst-19342 228 14 iterative iterative NOUN ajst-19342 228 15 synchronous synchronous ADJ ajst-19342 228 16 consensus[c]//proceedings consensus[c]//proceeding NOUN ajst-19342 228 17 of of ADP ajst-19342 228 18 the the DET ajst-19342 228 19 2012 2012 NUM ajst-19342 228 20 acm acm NOUN ajst-19342 228 21 workshop workshop NOUN ajst-19342 228 22 on on ADP ajst-19342 228 23 privacy privacy NOUN ajst-19342 228 24 in in ADP ajst-19342 228 25 the the DET ajst-19342 228 26 electronic electronic ADJ ajst-19342 228 27 society society NOUN ajst-19342 228 28 . . PUNCT ajst-19342 229 1 2012 2012 NUM ajst-19342 229 2 : : PUNCT ajst-19342 229 3 81 81 NUM ajst-19342 229 4 - - SYM ajst-19342 229 5 90 90 NUM ajst-19342 229 6 . . PUNCT ajst-19342 230 1 [ [ X ajst-19342 230 2 21 21 NUM ajst-19342 230 3 ] ] X ajst-19342 230 4 lin lin PROPN ajst-19342 230 5 j. j. PROPN ajst-19342 230 6 divergence divergence PROPN ajst-19342 230 7 measures measure NOUN ajst-19342 230 8 based base VERB ajst-19342 230 9 on on ADP ajst-19342 230 10 the the DET ajst-19342 230 11 shannon shannon PROPN ajst-19342 230 12 entropy[j entropy[j PROPN ajst-19342 230 13 ] ] PUNCT ajst-19342 230 14 . . PUNCT ajst-19342 231 1 ieee ieee NOUN ajst-19342 231 2 transactions transaction NOUN ajst-19342 231 3 on on ADP ajst-19342 231 4 information information NOUN ajst-19342 231 5 theory theory NOUN ajst-19342 231 6 , , PUNCT ajst-19342 231 7 1991 1991 NUM ajst-19342 231 8 , , PUNCT ajst-19342 231 9 37(1 37(1 NUM ajst-19342 231 10 ): ): PUNCT ajst-19342 231 11 145151 145151 NUM ajst-19342 231 12 . . PUNCT ajst-19342 232 1 [ [ X ajst-19342 232 2 22 22 NUM ajst-19342 232 3 ] ] X ajst-19342 232 4 ramdas ramdas PROPN ajst-19342 232 5 a a DET ajst-19342 232 6 , , PUNCT ajst-19342 232 7 garcรญa garcรญa ADJ ajst-19342 232 8 trillos trillos PROPN ajst-19342 232 9 n n CCONJ ajst-19342 232 10 , , PUNCT ajst-19342 232 11 cuturi cuturi PROPN ajst-19342 232 12 m. m. NOUN ajst-19342 232 13 on on ADP ajst-19342 232 14 wasserstein wasserstein NOUN ajst-19342 232 15 twosample twosample NOUN ajst-19342 232 16 testing testing NOUN ajst-19342 232 17 and and CCONJ ajst-19342 232 18 related related ADJ ajst-19342 232 19 families family NOUN ajst-19342 232 20 of of ADP ajst-19342 232 21 nonparametric nonparametric NOUN ajst-19342 232 22 tests[j tests[j PROPN ajst-19342 232 23 ] ] PUNCT ajst-19342 232 24 . . PUNCT ajst-19342 233 1 entropy entropy PROPN ajst-19342 233 2 , , PUNCT ajst-19342 233 3 2017 2017 NUM ajst-19342 233 4 , , PUNCT ajst-19342 233 5 19(2 19(2 NUM ajst-19342 233 6 ): ): PUNCT ajst-19342 233 7 47 47 NUM ajst-19342 233 8 . . PUNCT ajst-19342 234 1 [ [ X ajst-19342 234 2 23 23 NUM ajst-19342 234 3 ] ] X ajst-19342 234 4 lu lu PROPN ajst-19342 234 5 p p PROPN ajst-19342 234 6 h h NOUN ajst-19342 234 7 , , PUNCT ajst-19342 234 8 wang wang PROPN ajst-19342 234 9 p p PROPN ajst-19342 234 10 c c PROPN ajst-19342 234 11 , , PUNCT ajst-19342 234 12 yu yu PROPN ajst-19342 234 13 c c PROPN ajst-19342 234 14 m. m. NOUN ajst-19342 234 15 empirical empirical ADJ ajst-19342 234 16 evaluation evaluation NOUN ajst-19342 234 17 on on ADP ajst-19342 234 18 synthetic synthetic ADJ ajst-19342 234 19 data datum NOUN ajst-19342 234 20 generation generation NOUN ajst-19342 234 21 with with ADP ajst-19342 234 22 generative generative ADJ ajst-19342 234 23 adversarial adversarial ADJ ajst-19342 234 24 network[c]//proceedings network[c]//proceeding NOUN ajst-19342 234 25 of of ADP ajst-19342 234 26 the the DET ajst-19342 234 27 9th 9th ADJ ajst-19342 234 28 international international ADJ ajst-19342 234 29 conference conference NOUN ajst-19342 234 30 on on ADP ajst-19342 234 31 web web NOUN ajst-19342 234 32 intelligence intelligence NOUN ajst-19342 234 33 , , PUNCT ajst-19342 234 34 mining mining NOUN ajst-19342 234 35 and and CCONJ ajst-19342 234 36 semantics semantic NOUN ajst-19342 234 37 . . PUNCT ajst-19342 235 1 2019 2019 NUM ajst-19342 235 2 : : PUNCT ajst-19342 235 3 1 1 NUM ajst-19342 235 4 - - SYM ajst-19342 235 5 6 6 NUM ajst-19342 235 6 . . PUNCT ajst-19342 236 1 [ [ X ajst-19342 236 2 24 24 NUM ajst-19342 236 3 ] ] SYM ajst-19342 236 4 shokri shokri NOUN ajst-19342 236 5 r r PROPN ajst-19342 236 6 , , PUNCT ajst-19342 236 7 stronati stronati NOUN ajst-19342 236 8 m m PROPN ajst-19342 236 9 , , PUNCT ajst-19342 236 10 song song NOUN ajst-19342 236 11 c c NOUN ajst-19342 236 12 , , PUNCT ajst-19342 236 13 et et PROPN ajst-19342 237 1 al al PROPN ajst-19342 237 2 . . PROPN ajst-19342 237 3 membership membership NOUN ajst-19342 237 4 inference inference NOUN ajst-19342 237 5 attacks attack NOUN ajst-19342 237 6 against against ADP ajst-19342 237 7 machine machine NOUN ajst-19342 237 8 learning learn VERB ajst-19342 237 9 models[c]//2017 models[c]//2017 PROPN ajst-19342 237 10 ieee ieee NOUN ajst-19342 237 11 symposium symposium NOUN ajst-19342 237 12 on on ADP ajst-19342 237 13 security security NOUN ajst-19342 237 14 and and CCONJ ajst-19342 237 15 privacy privacy NOUN ajst-19342 237 16 ( ( PUNCT ajst-19342 237 17 sp sp NOUN ajst-19342 237 18 ) ) PUNCT ajst-19342 237 19 . . PUNCT ajst-19342 238 1 ieee ieee PROPN ajst-19342 238 2 , , PUNCT ajst-19342 238 3 2017 2017 NUM ajst-19342 238 4 : : PUNCT ajst-19342 238 5 3 3 NUM ajst-19342 238 6 - - SYM ajst-19342 238 7 18 18 NUM ajst-19342 238 8 . . PUNCT ajst-19342 239 1 [ [ X ajst-19342 239 2 25 25 NUM ajst-19342 239 3 ] ] X ajst-19342 239 4 van van PROPN ajst-19342 239 5 breugel breugel PROPN ajst-19342 239 6 b b PROPN ajst-19342 239 7 , , PUNCT ajst-19342 239 8 sun sun NOUN ajst-19342 239 9 h h NOUN ajst-19342 239 10 , , PUNCT ajst-19342 239 11 qian qian PROPN ajst-19342 239 12 z z PROPN ajst-19342 239 13 , , PUNCT ajst-19342 239 14 et et PROPN ajst-19342 239 15 al al PROPN ajst-19342 239 16 . . PROPN ajst-19342 239 17 membership membership NOUN ajst-19342 239 18 inference inference NOUN ajst-19342 239 19 attacks attack NOUN ajst-19342 239 20 against against ADP ajst-19342 239 21 synthetic synthetic ADJ ajst-19342 239 22 data datum NOUN ajst-19342 239 23 through through ADP ajst-19342 239 24 overfitting overfitte VERB ajst-19342 239 25 detection[j detection[j PROPN ajst-19342 239 26 ] ] PUNCT ajst-19342 239 27 . . PUNCT ajst-19342 240 1 arxiv arxiv PROPN ajst-19342 240 2 preprint preprint VERB ajst-19342 240 3 arxiv:2302.12580 arxiv:2302.12580 NOUN ajst-19342 240 4 , , PUNCT ajst-19342 240 5 2023 2023 NUM ajst-19342 240 6 . . PUNCT