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cs.CR2024
Generating Is Believing: Membership Inference Attacks against Retrieval-Augmented Generation
Yuying Li, Gaoyang Liu, Chen Wang +1
Retrieval-Augmented Generation (RAG) is a state-of-the-art technique that mitigates issues such as hallucinations and knowledge staleness in Large Language Models (LLMs) by retriev…
cs.CR2021
De-Pois: An Attack-Agnostic Defense against Data Poisoning Attacks
Jian Chen, Xuxin Zhang, Rui Zhang +2
Machine learning techniques have been widely applied to various applications. However, they are potentially vulnerable to data poisoning attacks, where sophisticated attackers can…