all InfoSec news
VA3: Virtually Assured Amplification Attack on Probabilistic Copyright Protection for Text-to-Image Generative Models
April 3, 2024, 4:11 a.m. | Xiang Li, Qianli Shen, Kenji Kawaguchi
cs.CR updates on arXiv.org arxiv.org
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
More from arxiv.org / cs.CR updates on arXiv.org
Jobs in InfoSec / Cybersecurity
Social Engineer For Reverse Engineering Exploit Study
@ Independent study | Remote
SITEC- Systems Security Administrator- Camp HM Smith
@ Peraton | Camp H.M. Smith, HI, United States
Cyberspace Intelligence Analyst
@ Peraton | Fort Meade, MD, United States
General Manager, Cybersecurity, Google Public Sector
@ Google | Virginia, USA; United States
Cyber Security Advisor
@ H&M Group | Stockholm, Sweden
Engineering Team Manager – Security Controls
@ H&M Group | Stockholm, Sweden