id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
fcis-25103	Miao, Lu; Li, Weibo; Zhao, Jia; Zhou, Xin; Wu, Yao	Differential Private Defense Against Backdoor Attacks in Federated Learning	2024	9	.pdf	application/pdf	7237	428	62	However, the training process of federated learning is vulnerable to adversarial attacks (e.g., backdoor attack) in presence of malicious clients. Previous works showed that differential privacy (DP) can be used to defend against backdoor attacks, at the cost of vastly losing model utility.	cache/fcis-25103.pdf	txt/fcis-25103.txt