{"ID":2898087,"CreatedAt":"2026-06-01T04:54:23.091178241Z","UpdatedAt":"2026-06-01T04:54:23.091178241Z","DeletedAt":null,"paper_url":"https://arxiv.org/abs/2507.03953","arxiv_id":"2507.03953","title":"Evaluating Adversarial Protections for Diffusion Personalization: A Comprehensive Study","abstract":"With the increasing adoption of diffusion models for image generation and personalization, concerns regarding privacy breaches and content misuse have become more pressing. In this study, we conduct a comprehensive comparison of eight perturbation based protection methods: AdvDM, ASPL, FSGM, MetaCloak, Mist, PhotoGuard, SDS, and SimAC--across both portrait and artwork domains. These methods are evaluated under varying perturbation budgets, using a range of metrics to assess visual imperceptibility and protective efficacy. Our results offer practical guidance for method selection. Code is available at: https://github.com/vkeilo/DiffAdvPerturbationBench.","short_abstract":"With the increasing adoption of diffusion models for image generation and personalization, concerns regarding privacy breaches and content misuse have become more pressing. In this study, we conduct a comprehensive comparison of eight perturbation based protection methods: AdvDM, ASPL, FSGM, MetaCloak, Mist, PhotoGuard...","url_abs":"https://arxiv.org/abs/2507.03953","url_pdf":"https://arxiv.org/pdf/2507.03953v1","authors":"[\"Kai Ye\",\"Tianyi Chen\",\"Zhen Wang\"]","published":"2025-07-05T08:32:25Z","proceeding":"cs.CV","tasks":"[\"cs.CV\",\"cs.AI\"]","methods":"[\"Diffusion Model\"]","has_code":false,"code_links":[{"ID":612384,"CreatedAt":"2026-06-01T04:54:23.091178241Z","UpdatedAt":"2026-06-01T04:54:23.091178241Z","DeletedAt":null,"paper_id":2898087,"paper_url":"https://arxiv.org/abs/2507.03953","paper_title":"Evaluating Adversarial Protections for Diffusion Personalization: A Comprehensive Study","repo_url":"https://github.com/vkeilo/DiffAdvPerturbationBench","is_official":false,"mentioned_in_paper":false,"mentioned_in_github":true,"github_stars":0}]}
