language:
- en
license: mit
size_categories: - 10K<n<100K
task_categories: - text-generation
FlipGuardData
This dataset contains the attack samples presented in the paper FlipAttack: Jailbreak LLMs via Flipping.
FlipAttack is a simple yet effective jailbreak attack against black-box LLMs that exploits their autoregressive nature by disguising harmful prompts using flipping transformations. FlipGuardData contains 45,000 attack samples generated against 8 different LLMs, including GPT-4o, Claude 3.5 Sonnet, and Llama 3.1.
- Paper: https://huggingface.co/papers/2410.02832
- Repository: https://github.com/yueliu1999/flipattack
Usage
You can load the dataset using the following code:
from datasets import load_dataset
dataset = load_dataset("yueliu1999/FlipGuardData")
Citation
@article{FlipAttack,
title={FlipAttack: Jailbreak LLMs via Flipping},
author={Liu, Yue and He, Xiaoxin and Xiong, Miao and Fu, Jinlan and Deng, Shumin and Hooi, Bryan},
journal={arXiv preprint arXiv:2410.02832},
year={2024}
}