Preprint
Oct 2026
RAGLeak: Supply-Chain Privacy Backdoors in Retrieval-Augmented Generation
Retrieval-Augmented Generation (RAG) enables large language models to access external knowledge during inference, but its reliance on external knowledge bases also introduces new attack surfaces. Existing data extraction attacks against RAG systems rely on either prompt injection, which heavily depends on the generator...
Yuchen Chen, Wei Cheng, Yuan Xiao et al.
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