Papers citing 'An Empirical Evaluation of LLMs for Solving Offensive Security Challenges'

Title
Dynamic Risk Assessments for Offensive Cybersecurity Agents Boyi Wei Benedikt Stroebl Jiacen Xu Joie Zhang Zhou Li Peter Henderson 466 4 0 23 May 2025
LLMs unlock new paths to monetizing exploits Nicholas Carlini Milad Nasr Edoardo Debenedetti Barry Wang Christopher A. Choquette-Choo Daphne Ippolito Florian Tramèr Matthew Jagielski AAML 289 1 0 16 May 2025
AutoPentest: Enhancing Vulnerability Management With Autonomous LLM Agents Julius Henke LLMAG 197 4 0 15 May 2025
Benchmarking Practices in LLM-driven Offensive Security: Testbeds, Metrics, and Experiment Design A. Happe Jürgen Cito 306 4 0 14 Apr 2025
What Makes an Evaluation Useful? Common Pitfalls and Best Practices Gil Gekker Meirav Segal Dan Lahav Omer Nevo ELM 225 1 0 30 Mar 2025
OCCULT: Evaluating Large Language Models for Offensive Cyber Operation Capabilities Michael Kouremetis Marissa Dotter Alex Byrne Dan Martin Ethan Michalak Gianpaolo Russo Michael Threet Guido Zarrella ELM 223 14 0 18 Feb 2025
HyperAgent: Generalist Software Engineering Agents to Solve Coding Tasks at Scale Huy N. Phan Phong X. Nguyen P. Nguyen Nghi D. Q. Bui LLMAG 325 28 0 09 Sep 2024
SelfDefend: LLMs Can Defend Themselves against Jailbreaking in a Practical Manner Xunguang Wang Daoyuan Wu Zhenlan Ji Zongjie Li Pingchuan Ma Shuai Wang Yingjiu Li Yang Liu Ning Liu Juergen Rahmel AAML 416 30 0 08 Jun 2024
LLMs Can Defend Themselves Against Jailbreaking in a Practical Manner: A Vision Paper Daoyuan Wu Shuaibao Wang Yang Liu Ning Liu AAML 217 9 0 24 Feb 2024
WizardCoder: Empowering Code Large Language Models with Evol-InstructInternational Conference on Learning Representations (ICLR), 2023 Ziyang Luo Can Xu Lu Wang Qingfeng Sun Xiubo Geng Wenxiang Hu Chongyang Tao Jing Ma Qingwei Lin Daxin Jiang ELM SyDa ALM 674 832 0 14 Jun 2023