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cs.CR2025
Provably Secure Retrieval-Augmented Generation
Pengcheng Zhou, Yinglun Feng, Zhongliang Yang
Although Retrieval-Augmented Generation (RAG) systems have been widely applied, the privacy and security risks they face, such as data leakage and data poisoning, have not been sys…
cs.AI2025
Why do AI agents communicate in human language?
Pengcheng Zhou, Yinglun Feng, Halimulati Julaiti +1
Large Language Models (LLMs) have become foundational to modern AI agent systems, enabling autonomous agents to reason and plan. In most existing systems, inter-agent communication…
cs.CR2025
Privacy-Aware RAG: Secure and Isolated Knowledge Retrieval
Pengcheng Zhou, Yinglun Feng, Zhongliang Yang
The widespread adoption of Retrieval-Augmented Generation (RAG) systems in real-world applications has heightened concerns about the confidentiality and integrity of their propriet…