id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
fcis-30019	Geng, Haoqi; Lu, Tianliang; Huang, Wanxin; Ding, Bowen	Deepfake Detection Technology Integrating Spatial Domain and Frequency Domain	2025	9	.pdf	application/pdf	5774	301	51	In view of the fact that previous deepfake research has paid relatively little attention to robustness testing and lacks comparable data, this chapter selected mainstream face forgery detection models, including Xception, FaceXray, LipForensics, CADDM, LAA-Net, as the comparison object. The FaceShifter dataset covers people of multiple races, genders, and ages, as well as multiple expressions, poses, and lighting conditions, which provides important data support for studying the application of faceshifter technology in forgery video detection. BioDeepAV	cache/fcis-30019.pdf	txt/fcis-30019.txt