Summary of Improved Techniques For Optimization-based Jailbreaking on Large Language Models, by Xiaojun Jia et al.
Improved Techniques for Optimization-Based Jailbreaking on Large Language Models
by Xiaojun Jia, Tianyu Pang, Chao Du, Yihao Huang, Jindong Gu, Yang Liu, Xiaochun Cao, Min Lin
First submitted to arxiv on: 31 May 2024
Categories
- Main: Machine Learning (cs.LG)
- Secondary: Computation and Language (cs.CL); Cryptography and Security (cs.CR)
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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 Large language models (LLMs) require alignment to ensure their safe deployment. Researchers have developed the Greedy Coordinate Gradient (GCG) attack, which has led to increased interest in optimization-based jailbreaking techniques. However, GCG’s attacking efficiency is unsatisfactory. This paper proposes several improved techniques for optimization-based jailbreaks like GCG. The authors suggest applying diverse target templates and an automatic multi-coordinate updating strategy to accelerate convergence. They also propose tricks like easy-to-hard initialization. Combining these improvements yields the I-GCG method, which outperforms state-of-the-art jailbreaking attacks on benchmarks such as NeurIPS 2023 Red Teaming Track. The results demonstrate nearly 100% attack success rate. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This paper is about making language models safer to use. Some people are trying to “break” these models, which can be harmful if they’re not careful. The Greedy Coordinate Gradient (GCG) method has been successful in breaking some models, but it’s not perfect. The researchers in this paper found ways to make GCG better and more effective. They tested their improved methods on some benchmark challenges and were able to break the models nearly 100% of the time. |
Keywords
» Artificial intelligence » Alignment » Optimization
