4 papers
Do Protective Perturbations Really Protect Portrait Privacy under Real-world Image Transformations?
Ruiqing Sun, Xingshan Yao, Zhijing Wu +6
Proactive defense methods protect portrait images from unauthorized editing or talking face generation (TFG) by introducing pixel-level protective perturbations, and have attracted…
ISExplore:Informative Segment Selection for Efficient Personalized 3D Talking Face Generation
Rui-Qing Sun, Ang Li, Zhijing Wu +5
Talking Face Generation (TFG) methods based on Neural Radiance Fields (NeRF) and 3D Gaussian Splatting (3DGS) have recently achieved impressive progress in personalized talking hea…
Efficient and Robust Video Defense Framework against 3D-field Personalized Talking Face
Rui-qing Sun, Xingshan Yao, Tian Lan +6
State-of-the-art 3D-field video-referenced Talking Face Generation (TFG) methods synthesize high-fidelity personalized talking-face videos in real time by modeling 3D geometry and…
Facial Features Matter: a Dynamic Watermark based Proactive Deepfake Detection Approach
Shulin Lan, Kanlin Liu, Yazhou Zhao +4
Current passive deepfake face-swapping detection methods encounter significance bottlenecks in model generalization capabilities. Meanwhile, proactive detection methods often use f…