Summary of Easyjailbreak: a Unified Framework For Jailbreaking Large Language Models, by Weikang Zhou et al.
EasyJailbreak: A Unified Framework for Jailbreaking Large Language Models
by Weikang Zhou, Xiao Wang, Limao Xiong, Han Xia, Yingshuang Gu, Mingxu Chai, Fukang Zhu, Caishuang Huang, Shihan Dou, Zhiheng Xi, Rui Zheng, Songyang Gao, Yicheng Zou, Hang Yan, Yifan Le, Ruohui Wang, Lijun Li, Jing Shao, Tao Gui, Qi Zhang, Xuanjing Huang
First submitted to arxiv on: 18 Mar 2024
Categories
- Main: Computation and Language (cs.CL)
- Secondary: Artificial Intelligence (cs.AI)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary This paper introduces EasyJailbreak, a unified framework simplifying the construction and evaluation of jailbreak attacks against Large Language Models (LLMs). The framework consists of four components: Selector, Mutator, Constraint, and Evaluator. This modular design enables researchers to easily construct attacks from combinations of novel and existing components, supporting 11 distinct jailbreak methods and facilitating the security validation of a broad spectrum of LLMs. The authors demonstrate the effectiveness of EasyJailbreak by validating it across 10 distinct LLMs, revealing a significant vulnerability with an average breach probability of 60% under various jailbreaking attacks. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This paper is about making sure large language models are secure and can’t be easily tricked into saying things they shouldn’t. It introduces a new way to test these models, called EasyJailbreak, which makes it easier for researchers to find and fix vulnerabilities. The framework has four parts that work together to try and get the model to say something it shouldn’t. This helps identify weaknesses in different language models, including some very advanced ones. |
Keywords
» Artificial intelligence » Probability
