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arXiv· arXiv:2608.04366· Zhaoqi Wang, Daqing He, Zijian Zhang, Ye Liu, Jiamou Liu, Zhirui Zeng, Zhan Qin, Zhen Li, Xin Li, Hongwei Yao, Jincheng An, Yong Liu, Yi Li, Qi Sun, Xiulei Liu, Liehuang Zhu·Indexed by this site · Originally published

SecureCollaRAG: A Byzantine-Fault-Tolerant Secure Collaborative RAG Framework for Resisting Knowledge Corruption in Agent Systems

Combating Knowledge Corruption in Agent Systems: A Byzantine-Tolerant Secure Collaborative RAG Framework

AI summary

SecureCollaRAG is a Byzantine fault-tolerant secure collaborative RAG framework for agent systems, used to defend against knowledge corruption attacks caused by RAG document poisoning. It verifies document sources through a multi-source knowledge verification mechanism and a trust scoring core based on a dynamic GNN, defending against covert knowledge corruption while preserving the integrity of domain knowledge. Evaluation and formal analysis show that the framework remains robust against attackers under non-IID data distributions.

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