3 papers
cs.SE2026
After the Party: Growth, Governance, and Security Scanning in the OpenClaw Agent Skill Ecosystem
Yunpeng Xiong, Ting Zhang
AI agents increasingly act through agent skills, i.e., natural-language instructions, that direct a host agent toward shell, network, credential, file, and process actions, and pub…
cs.SE2026
Vul4Py: Benchmarking Automated Vulnerability Repair in Python with Paired Exploit and Functional Oracles
Tan Bui, Ting Zhang, Ferdian Thung +4
Automated Vulnerability Repair (AVR) has advanced rapidly across program analysis, machine learning, and Large Language Models (LLMs), but a verifiable, head-to-head comparison of…
cs.SE2026
Sifting the Noise: A Comparative Study of LLM Agents in Vulnerability False Positive Filtering
Yunpeng Xiong, Ting Zhang
In this paper, we present a comparative study of three state-of-the-art LLM-based agent frameworks, i.e., Aider, OpenHands, and SWE-agent, for vulnerability FP filtering. We evalua…