AIBearisharXiv – CS AI · 3h ago7/10
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MM-PoisonRAG: Disrupting Multimodal RAG with Local and Global Poisoning Attacks
Researchers present MM-PoisonRAG, a framework demonstrating critical vulnerabilities in multimodal RAG systems where adversaries can inject poisoned content into knowledge bases to manipulate AI outputs. Two attack strategies—localized poisoning targeting specific queries and globalized poisoning affecting all queries—achieve high success rates and bypass existing defenses, exposing fundamental security gaps in RAG-augmented language models.