3 citations · 5 across the 3 of their papers we have counts for
3 papers
cs.CR2025
All You Need Is A Fuzzing Brain: An LLM-Powered System for Automated Vulnerability Detection and Patching
Ze Sheng, Qingxiao Xu, Jianwei Huang +5
Our team, All You Need Is A Fuzzing Brain, was one of seven finalists in DARPA's Artificial Intelligence Cyber Challenge (AIxCC), placing fourth in the final round. During the comp…
cs.CR2025★ 3 cited
LLMs in Software Security: A Survey of Vulnerability Detection Techniques and Insights
Ze Sheng, Zhicheng Chen, Shuning Gu +3
Large Language Models (LLMs) are emerging as transformative tools for software vulnerability detection, addressing critical challenges in the security domain. Traditional methods,…
cs.CR2024★ 2 cited
LProtector: An LLM-driven Vulnerability Detection System
Ze Sheng, Fenghua Wu, Xiangwu Zuo +3
This paper presents LProtector, an automated vulnerability detection system for C/C++ codebases driven by the large language model (LLM) GPT-4o and Retrieval-Augmented Generation (…