An Empirical Evaluation of LLMs for Solving Offensive Security Challenges

19 February 2024

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

7 / 7 papers shown

Title
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 20 0 0 16 May 2025
AutoPentest: Enhancing Vulnerability Management With Autonomous LLM Agents Julius Henke LLMAG 24 0 0 15 May 2025
Large Language Models and Arabic Content: A Review Haneh Rhel Dmitri Roussinov 34 0 0 12 May 2025
Hardware-Enabled Mechanisms for Verifying Responsible AI Development Aidan O'Gara Gabriel Kulp Will Hodgkins James Petrie Vincent Immler Aydin Aysu K. Basu S. Bhasin S. Picek Ankur Srivastava 21 0 0 02 Apr 2025
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 79 8 0 08 Jun 2024
DeepSeek LLM: Scaling Open-Source Language Models with Longtermism DeepSeek-AI Xiao Bi : Xiao Bi Deli Chen Guanting Chen ... Yao Zhao Shangyan Zhou Shunfeng Zhou Qihao Zhu Yuheng Zou LRM ALM 139 314 0 05 Jan 2024
Training language models to follow instructions with human feedback Long Ouyang Jeff Wu Xu Jiang Diogo Almeida Carroll L. Wainwright ... Amanda Askell Peter Welinder Paul Christiano Jan Leike Ryan J. Lowe OSLM ALM 372 12,081 0 04 Mar 2022