文章总结： 本报告由西北大学YanChen教授主讲，探讨利用大语言模型赋能系统安全攻防，涵盖自动化渗透测试、攻击模拟及漏洞发现与修补。研究系统在开源方案中性能领先，并入围DARPAAI网络挑战赛决赛，展示了AI在网络安全领域的最新应用。 综合评分： 60 文章分类： AI安全,渗透测试,漏洞分析

学术报告 | LLM-Empowered System Security:from Offense to Defense

浙大网安

2025年12月23日 17:54 浙江

浙江大学计算机科学与技术学院

浙江大学区块链与数据安全全国重点实验室

浙江大学网络空间安全学院

学 术 报 告

Dr. Yan Chen Full Professor at Northwestern University , USA

LLM-Empowered System Security: from Offense to Defense

12月25日（周四）14:00-15:00

玉泉校区逸夫工商楼101会议室

报告简介

The emergence of Large Language Models (LLMs) has significantly transformed many fields. In this talk, we will present our recent research on leveraging LLMs for both offensive and defensive cybersecurity applications—specifically, automated penetration testing, attack emulations, and automated vulnerability discovery and patching. Evaluations show that our systems achieve state-of-the-art performance among open-source solutions in these areas, including in the recent DARPA AI Cyber Challenge (AIxCC) competition.

报告人简介

Yan Chen received his Ph.D. in Computer Science from University of California at Berkeley in 2003 and after that he joined Northwestern University USA where he became a Full Professor in 2014. His research interests are in security and measurement for networking systems. He won the DOE Early CAREER Award in 2005, the DOD (Air Force of Scientific Research) Young Investigator Award in 2007, and the Most Influential Paper Award of ACM ASPLOS in 2018. In 2024, he co-led the team that was selected as one of the seven finalists in the DARPA AI Cyber Challenge (AIxCC), securing a total of $3 million in funding. Based on Google Scholar, his papers have been cited over 17,000 times, and the h-index of his publications is 63. He is a Fellow of IEEE.

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本文转载自：浙大网安 《学术报告 | LLM-Empowered System Security:from Offense to Defense》