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Jia-Nan Ma

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Preprint Aug 2026

CompoSkill: Compositional Skill Chain Attacks from Individually Scanner-Passing LLM Agent Skills

Autonomous AI agents tackling Long Horizon Tasks depend on marketplace skills that are certified one at a time: a scanner returns a safety verdict for each skill and declares the ecosystem safe if every package passes. We show that this assumption fails under skill composition. A skill may pass the per-skill scanner in...

Ming-Xiao Liu, Zhoumian Jiang, Jia-Nan Ma et al. · 0 citations
Preprint Aug 2026

When Experience Becomes Instruction: Trajectory Poisoning in Self-Evolving Agent Skill Systems

Self-evolving skill (SES) systems distill agent trajectories into persistent skills, allowing untrusted experience to become trusted instruction. We introduce PoisonedEvolution, a trajectory-poisoning attack on this promotion process. Our skill-visible black-box attacker can inspect a target skill and contribute bounde...

Jia-Luo Chen, Lingqi Jiang, Xin-Hao Deng et al. · 0 citations
Review Aug 2026

SkillTrace: Multi-Trace Provenance Auditing for LLM-Agent Skill Reuse

SKILLTRACE is presented, a multi-trace provenance auditing framework for LLM-agent skill reuse that represents the Operational Trace as a Skill Operational Graph (SOG) that captures activation, procedure, and resource-flow structure.

Jia-Luo Chen, Minghe Wang, Lingqi Jiang et al. · 0 citations
Aug 2026

VeRe: Verification Guided Fault Localization and Repair Synthesis of Deep Neural Networks

VeRe is proposed, a verification-guided repair framework that leverages linear relaxation to precisely and efficiently estimate the repair significance of neurons and synthesizes ideal intervals that provide sound guarantees for correct behaviors, thereby facilitating surgical and targeted adjustments of neuron paramet...

Jia-Nan Ma, Wei Chen, Pengfei Yang et al. · 0 citations

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