Papers by Dimitrios Bralios

1 papers
MM-PoisonRAG: Disrupting Multimodal RAG with Local and Global Knowledge Poisoning Attacks (2026.acl-long)

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Challenge: Existing research exposes multimodal large language models to knowledge poisoning attacks . localized poisoning attack achieves up to 56% success rate even under restricted access . globalized poison attack completely disrupts model generation to 0% accuracy with just one poisoned content.
Approach: They propose a framework to study the vulnerability of multimodal RAG under knowledge poisoning attacks.
Outcome: The proposed framework exploits two new attack strategies on multimodal RAGs under knowledge poisoning.

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