First reported arxiv.org
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First reported · updated · 2 reports aclanthology.org
MM-PoisonRAG: Disrupting Multimodal RAG with Local and Global Knowledge Poisoning Attacks
MM-PoisonRAG is a research paper presenting local and global knowledge poisoning attacks that disrupt multimodal retrieval-augmented generation (RAG) in multimodal large language models (MLLMs). The work demonstrates how MLLMs' reliance on retrieval exposes them to poisoned knowledge injected into the retrieval corpus, manipulating generated outputs. Details →How the wire is made
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