Do Protective Perturbations Really Protect Portrait Privacy under Real-world Image Transformations?
Proactive defense methods protect portrait images from unauthorized editing or talking face generation (TFG) by introducing pixel-level protective perturbations, and have attracted increasing attention for privacy protection. In real-world use, images inevitably undergo sequences of benign operations during display and dissemination, such as resizing and color compression, which directly alter pixel values. Existing studies and robustness defenses mainly examine individual transformations in isolation, while sequentially composed transformations remain underexplored. To address this gap, we systematically evaluate whether representative proactive defenses against unauthorized image editin...
| Authors | Ruiqing Sun, Xingshan Yao, Zhijing Wu et al. |
|---|---|
| Primary category | cs.CV |
| Published | 26 April 2026 |
| Last updated at source | 11 August 2026 |
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