AI RESEARCH
Identity-Decoupled Anonymization for Visual Evidence in Multi-modal Retrieval-Augmented Generation
arXiv CS.CV
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ArXi:2604.23584v1 Announce Type: new Multi-modal retrieval-augmented generation (MRAG) systems retrieve visual evidence from large image corpora to ground the responses of large multi-modal models, yet the retrieved images frequently contain human faces whose identities constitute sensitive personal information. Existing anonymization techniques that destroy the non-identity visual cues that downstream reasoning depends on or fail to provide principled privacy guarantees.