
PersGuard uses model backdoors to prevent malicious AI personalization
Researchers have proposed a novel defense against the misuse of AI image generators, embedding protective backdoors directly into diffusion models to prevent them from being personalized to generate unauthorized portraits or replicate artistic styles. The paper, titled PersGuard and published on arXiv, introduces what its authors describe as the first backdoor-based framework for preventing malicious […]










