Robust Identity Perceptual Watermark Against Deepfake Face Swapping

arXiv:2311.01357v2 Announce Type: replace
Abstract: 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 …

abstract arxiv cs.cv deepfake deep generative models detection development entertainment face generative generative models identity images performance privacy quality robust society synthetic type watermark