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Seeing Without Exposing: Adaptive Privacy Control for Open-World, Context-Hungry MLLMs

Announce Type: new Abstract: Multimodal large language models (MLLMs) have raised new privacy challenges. On the data side, user-provided inputs often include unpredictable sensitive information; while on the downstream task side, model reasoning depends on rich visual context that may itself be privacy-sensitive.

arXiv CS 2d ago