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AI-Safety_Benchmark

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The official repository for guided jailbreak benchmark

// repository documentation

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# AI-Safety GuidedBench

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This is the code for our paper *<strong>GuidedBench: Measuring and Mitigating the Evaluation Discrepancies of In-the-wild LLM Jailbreak Methods</strong>*.

## News
- [2025-07-09] The v2 paper is available on arXiv.
- [2025-02-26] The demo code for evaluation is released.
- [2025-02-25] The paper is available on arXiv.

## Citation

If you find this work helpful, please consider citing our paper:

```bibtex
@article{huang2025guidedbench,
  title   = {GuidedBench: Measuring and Mitigating the Evaluation Discrepancies of In-the-wild LLM Jailbreak Methods},
  author  = {Ruixuan Huang and Xunguang Wang and Zongjie Li and Daoyuan Wu and Shuai Wang},
  year    = {2025},
  journal = {arXiv preprint arXiv: 2502.16903}
}
```

AI-Safety_Benchmark

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