XG-Guard Enhances Multi-Agent Security
机器之心 · wechat · 2026-07-10
This article introduces XG-Guard, an unsupervised security framework designed to defend against attacks on LLM multi-agent systems. Addressing the coarse granularity and lack of interpretability in existing methods, it proposes dual-level representation encoding, topic-based anomaly detection, and the fusion of coarse and fine-grained scores to identify and explain anomalous Agents.
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