Yuxuan Zhang

This paper analyzes 470 security advisories in the OpenClaw AI agent framework, demonstrating that the system's structural weakness lies in per-layer trust enforcement, enabling cross-layer remote code execution (RCE) attacks.

TraceScope is an interactive, sandboxed triage pipeline that analyzes complex phishing URLs by simulating human interaction and verifying suspicious behavior against a detailed checklist, achieving high detection rates even against advanced, evasive threats.

MIRA proposes a novel source-aware filtering framework that discovers and anchors evaluation rubrics during data selection, significantly improving code-oriented mid-training data quality while reducing token usage.

This paper proposes CompRank, a token-efficient reranking framework for large language models that reduces redundant computation and achieves strong reranking performance.