2 papers
cs.CR2026
CIG-MIA: Context-Induced Information Gain Membership Inference Attacks against Retrieval-Augmented Generation
Tan Xue, Huo Chang, Wang Changhui +4
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…
cs.IR2026
PRA-RAG: Provably Robust Aggregation in Retrieval-Augmented Generation against Retrieval Corruption
Xue Tan, Yi Zheng, Chang Huo +7
Retrieval-Augmented Generation (RAG) enhances Large Language Models (LLMs) by incorporating external knowledge, effectively mitigating their inherent knowledge limitations. However…