CamoDocs: A Poisoning Attack Against Retrieval-Augmented Language Models Using Camouflaged Documents
CamoDocs is proposed, a poisoning attack that avoids direct query inclusion by camouflaging adversarial documents among benign content, and shows that erasure-heavy clustering defenses such as TrustRAG can reduce ASR, but only with substantial utility drops on retrieval-dependent benchmarks such as NeoQA.
Jaewon Jung, Haizhong Zheng, Hongsun Jang et al.
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