RAGuard introduces a layered defense against factual corpus-poisoning attacks in retrieval-augmented generation systems.
Read the original at arxiv.org→arXiv:2607.26339v1 Announce Type: new Abstract: Retrieval-Augmented Generation (RAG) systems ground large language models (LLMs) in external corpora, but this reliance exposes them to corpus poisoning: maliciously...
Original headline: "RAGuard: A Layered Defense Framework for Retrieval-Augmented Generation Systems Against Data Poisoning"
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- Jul 30, 04:00 UTC arXiv cs.LG lead source RAGuard: A Layered Defense Framework for Retrieval-Augmented Generation Systems Against Data Poisoning