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Chao Feng

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#artificial intelligence Preprint Oct 2026

Agent-Canary-Mas: End-to-End Evaluation of Protocol Risk in Long-Horizon Multi-Agent Systems

Agent-to-agent protocols allow LLM agents to discover peers, exchange results, and coordinate tool use. A locally successful protocol attack, however, may be rejected by a later agent or propagated into a consequential task decision. Measuring local exploitability alone leaves this difference unresolved and provides li...

Xiu-Ming Liu, Le Gai, Zhi-Yuan Chang et al. · 0 citations
#natural language process... Preprint Sep 2026

Checking Leakage Witnesses versus Certifying Bounded Non-Leakage

When a language-model audit finds no leak, what is needed to certify non-leakage? We study guarantees over a declared prompt domain under an executable leakage criterion and decoding rule. For general bounded polynomial-time evaluators, a supplied leaking execution is polynomial-time checkable, while leak existence is...

Chao Feng, Burkhard Stiller · 0 citations
Preprint Aug 2026

Beyond Handcrafted Security: Towards Self-Evolving Defense for LLM Agents

This work develops a harness-level formulation of runtime defense that systematically characterizes how harness mechanisms enable defense construction and provides a unified view of existing runtime defense interventions from a harness perspective, and proposes HARD (Harness-based Autonomous Runtime Defense Evolution),...

Jia-Jun Ruan, Pei-Yang Li, Yu-Kun Chen et al. · 1 citation

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