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CIG-MIA: Context-Induced Information Gain Membership Inference Attacks against Retrieval-Augmented Generation
Retrieval-augmented generation (RAG) systems ground large language models on external knowledge bases, enabling access to private, domain-specific, and up-to-date knowledge without retraining. However, the same retrieval interface can expose whether a candidate document is contained in the knowledge
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