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Rui-Xiao Lin

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#artificial intelligence Review Sep 2026

Safety in Self-Evolving Agents: A Survey

SAVER is introduced, a transition-centered framework in which Substrate locates reusable influence, Adaptation captures how it changes, Violation identifies compromised safety attributes, Exposure marks where failures become observable, and Response assesses containment, repair, or revocation.

Jia-Hao Chen, Zhou Feng, Ou-Bo Ma et al. · 1 citation
#artificial intelligence Review May 2026

IntraGuard: Committee-Side Defenses Against Review Outsourcing to Commercial Chatbots

IntraGuard is proposed, a black-box, venue-agnostic defense framework grounded in the structural--visual decoupling inherent to the PDF that achieves a defense success rate of up to 84%, while preserving peer-review invariance for human reviewers.

Ou-Bo Ma, Rui-Xiao Lin, Jia-Hao Chen et al. · 2 citations
#artificial intelligence Preprint Sep 2026

HazardAuditor: From Executable Threats to Safer Computer-Use Agents

HazardAuditor is introduced, an execution-grounded framework that runs heterogeneous agents in controlled environments and normalizes their interactions into a canonical event representation for cross-framework supervision, and observes that token-level post-training objectives create a structural mismatch for generati...

Yun-Hao Feng, Rui-Xiao Lin, Ming Wen et al. · 2 citations · ⚡1
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
#natural language process... Preprint Aug 2026

Beyond the Payload: How User Invocation Shapes Coding Agent Vulnerability to Repository Poisoning

CIPR (Coding In Poisoned Repos), the first benchmark that systematically varies PLCs in poisoned real-world repositories, is introduced and highlights that coding agent vulnerability is not a static property, but a dynamic outcome shaped by everyday user configurations.

Fu-Kang Zhu, Bin-Bin Zhao, Rui-Xiao Lin et al. · 1 citation

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