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Robust Identity Perceptual Watermark Against Deepfake Face Swapping. (arXiv:2311.01357v1 [cs.CV])
cs.CV updates on arXiv.org arxiv.org
Notwithstanding offering convenience and entertainment to society, Deepfake
face swapping has caused critical privacy issues with the rapid development of
deep generative models. Due to imperceptible artifacts in high-quality
synthetic images, passive detection models against face swapping in recent
years usually suffer performance damping regarding the generalizability issue.
Therefore, several studies have been attempted to proactively protect the
original images against malicious manipulations by inserting invisible signals
in advance. However, the existing proactive defense approaches demonstrate
unsatisfactory results with respect …
arxiv deepfake deep generative models detection development entertainment face generative generative models identity images issue performance privacy quality society synthetic watermark