arXiv (OAI Expanded)
open access
Vis-Poison: Poisoning Visual Knowledge in Multimodal Retrieval-Augmented Generation
While multimodal retrieval-augmented generation (RAG) systems increasingly rely on images as external knowledge sources, the introduction of poisoned visual evidence can severely compromise multimodal large language model (MLLM) generation. Unlike prior attacks that rely on altering textual metadata
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