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FakeTracer: Catching Face-swap DeepFakes via Implanting Traces in Training
April 23, 2024, 4:48 a.m. | Pu Sun, Honggang Qi, Yuezun Li, Siwei Lyu
cs.CV updates on arXiv.org arxiv.org
Abstract: Face-swap DeepFake is an emerging AI-based face forgery technique that can replace the original face in a video with a generated face of the target identity while retaining consistent facial attributes such as expression and orientation. Due to the high privacy of faces, the misuse of this technique can raise severe social concerns, drawing tremendous attention to defend against DeepFakes recently. In this paper, we describe a new proactive defense method called FakeTracer to expose …
abstract arxiv consistent cs.cv deepfake deepfakes face forgery generated identity misuse privacy traces training type via video
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