Author

Wei Wang

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Preprint Sep 2026

LLM-Assisted Automatic Security Proofs for Cryptographic Protocols: How Far Are We?

Large language models (LLMs) have shown strong potential for assisting software and security analysis tasks, yet their effectiveness in cryptographic symbolic protocol verification remains insufficiently understood. In this paper, we conduct the first systematic evaluation of the capability of state-of-the-art LLMs in...

Tian-Jian Liu, Shi-Cheng Feng, Jin'ao Shang et al. · 0 citations

#artificial intelligence Preprint Sep 2026

The Marathon of Scientific Reasoning: Robustness of Scientific Agents to Perturbations in Multi-Turn Interactions

Large language model (LLM)-based scientific agents are increasingly used for scientific problem solving, yet their robustness to imperfections arising during multi-turn interactions remains poorly understood. We introduce \textsc{SciARP} (\textbf{Sci}entific \textbf{A}gent \textbf{R}obustness to \textbf{P}erturbations)...

Xiaoting Lyu, Xin-Bo Ma, Yu-Fei Han et al. · 0 citations

#artificial intelligence Preprint Sep 2026

AgentLeak: Cloning Stronger LLM Agent Capabilities onto Weaker Agents Beyond Skill Stealing

The findings reveal a confidentiality risk in LLM agents: protecting explicit artifacts alone is insufficient, as observable execution behavior can leak the procedural knowledge required to reconstruct proprietary task-solving capabilities in low-capability and attacker-controlled agents.

Xiaoting Lyu, Yu-Hong Wu, Yu-Fei Han et al. · 1 citation