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

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 embed invisible adversarial perturbations into images, disrupting the manipulation process and rendering the forged out...

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Bibliographische Detailangaben

Veröffentlicht in:	IEEE transactions on pattern analysis and machine intelligence. - 1979. - PP(2025) vom: 01. Okt.
1. Verfasser:	Qu, Zuomin (VerfasserIn)
Weitere Verfasser:	Lu, Wei, Luo, Xiangyang, Wang, Qian, Cao, Xiaochun
Format:	Online-Aufsatz
Sprache:	English
Veröffentlicht:	2025
Zugriff auf das übergeordnete Werk:	IEEE transactions on pattern analysis and machine intelligence
Schlagworte:	Journal Article