AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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It is demonstrated that residual-authority replay arises in practice and substantially increases the success of prompt-injection and context-rebinding attacks, exposing a fundamental mismatch between persistent authorization and the contextual nature of user consent in long-lived LLM agents.
AcMAS is proposed, an activation-based framework for malicious-behavior detection in MAS that significantly outperforms graph-based baselines against stealthy attacks, with generalization across diverse open-source LLM backbones, attack intensity, and MAS scale.
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