Author

Xiangzheng Zhang

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Preprint Aug 2026

SkillSentry: Adaptive Honey Worlds for Dynamic Safety Testing of Agent Skills

This work presents SkillSentry, a dynamic safety-testing framework based on adaptive honey worlds, which infers the intended capability boundary of a skill, constructs an LLM-simulated environment with controlled decoy resources, and adaptively generates tasks to explore its behavioral states.

Nizhang Li, Zonghao Ying, Xiang-Fan Wu et al. · 0 citations

Jul 2026

SafeFlow: Semantic Information-Flow Control for Blocking Malicious Propagation in Multi-Agent Systems

SafeFlow is proposed, a defense framework for multi-agent systems that formalizes malicious cross-agent propagation as a semantic information-flow problem and reduces attack success rates compared to undefended baselines and external defenses while retaining high benign task completion and a high paired safe--harm success rate.

Haowen Dai, Zonghao Ying, Wenfeng Li et al. · arXiv.org · 0 citations