April 3, 2024, 4:11 a.m. | Xiang Li, Qianli Shen, Kenji Kawaguchi

cs.CR updates on arXiv.org arxiv.org

arXiv:2312.00057v2 Announce Type: replace
Abstract: The booming use of text-to-image generative models has raised concerns about their high risk of producing copyright-infringing content. While probabilistic copyright protection methods provide a probabilistic guarantee against such infringement, in this paper, we introduce Virtually Assured Amplification Attack (VA3), a novel online attack framework that exposes the vulnerabilities of these protection mechanisms. The proposed framework significantly amplifies the probability of generating infringing content on the sustained interactions with generative models and a non-trivial lower-bound …

amplification arxiv attack copyright copyright protection cs.ai cs.cr cs.cv cs.mm generative generative models image protection text

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