PIU: Proximity-guided Identity Unlearning in ID-Conditioned Diffusion Models

ArXi:2605.22311v1 Announce Type: new Identity-conditioned diffusion models enable high-quality and identity-consistent face generation, but they also raise severe privacy concerns, as models may continue to synthesize individuals despite their right to be forgotten. While machine unlearning has been extensively studied for concept and data removal, identity unlearning remains largely unexplored, particularly in models conditioned directly on identity embeddings rather than text prompts.