ID-Guard: A Universal Framework for Combating Facial Manipulation via Breaking Identification

Zuomin Qu, Wei Lu, Xiangyang Luo +2

The misuse of deep learning-based facial manipulation poses a serious threat to civil rights. To prevent such fraud at its source, proactive defense methods have been proposed that…