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SimAC: A Simple Anti-Customization Method for Protecting Face Privacy against Text-to-Image Synthesis of Diffusion Models
May 1, 2024, 4:46 a.m. | Feifei Wang, Zhentao Tan, Tianyi Wei, Yue Wu, Qidong Huang
cs.CV updates on arXiv.org arxiv.org
Abstract: Despite the success of diffusion-based customization methods on visual content creation, increasing concerns have been raised about such techniques from both privacy and political perspectives. To tackle this issue, several anti-customization methods have been proposed in very recent months, predominantly grounded in adversarial attacks. Unfortunately, most of these methods adopt straightforward designs, such as end-to-end optimization with a focus on adversarially maximizing the original training loss, thereby neglecting nuanced internal properties intrinsic to the diffusion …
arxiv cs.cv customization diffusion diffusion models face image privacy simple synthesis text text-to-image type
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