Papers with jailbreak attack algorithms
LLMs Caught in the Crossfire: Malware Requests and Jailbreak Challenges (2025.acl-long)
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| Challenge: | Large Language Models (LLMs) have a high vulnerability to jailbreak attacks that leverage crafted prompts to generate malicious outputs. |
| Approach: | They propose to use large language models to test their security against jailbreak attacks that leverage crafted prompts to generate malicious outputs. |
| Outcome: | The proposed model is based on 320 manually crafted malicious code generation requirements, covering 11 jailbreak methods and 29 code functionality categories. |
Jailbreak Distillation: Renewable Safety Benchmarking (2025.findings-emnlp)
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Jingyu Zhang, Ahmed Elgohary, Xiawei Wang, A S M Iftekhar, Ahmed Magooda, Benjamin Van Durme, Daniel Khashabi, Kyle Jackson
| Challenge: | a new framework for safety benchmarking is being developed for large language models . the framework "distills" jailbreak attacks into high-quality and easily-updatable safety benchmarks . |
| Approach: | They propose a framework that "distills" jailbreak attacks into high-quality safety benchmarks. |
| Outcome: | The proposed framework "distills" jailbreak attacks into high-quality safety benchmarks . it requires minimal human effort to rerun the pipeline and produce updated benchmarks. |