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GraphRAG, thought to be more robust to poisoning attacks due to its KG abstraction, is surprisingly vulnerable to KEPo, a novel attack that forges knowledge evolution paths to inject toxic events.
Safety-aligned LLMs are so consistently risk-averse that a single, transferable "poison" document can now block up to 96% of queries across different RAG systems, even without access to the target model.
