RAG Security and Privacy: Formalizing the Threat Model and Attack Surface 事件

RAG Security and Privacy: Formalizing the Threat Model and Attack Surface arXiv:2509.20324v2 Announce Type: replace-cross Abstract: Retrieval-Augmented Generation (RAG) is an emerging approach in natural language processing that combines large language models (LLMs) with external document retrieval to produce more accurate and grounded responses. While RAG has shown strong potential in reducing hallucinations and improving factual consistency, it also introduces new privacy and security challen