Red-Teaming Datasets
收藏arXiv2025-09-30 收录
下载链接：
https://github.com/GuanlinLee/ART
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资源简介：
该数据集包括三个大规模的红队（攻击者模拟）数据集，旨在研究文本到图像模型相关的安全风险。这些数据集被用于评估ART框架在不同文本到图像模型中的有效性和适应性。规模之大使得这项任务能够全面评估文本到图像模型的安全风险。
This dataset comprises three large-scale red team (attacker simulation) datasets intended to investigate security risks associated with text-to-image models. These datasets are employed to evaluate the effectiveness and adaptability of the ART framework across various text-to-image models. The considerable scale of these datasets enables a comprehensive assessment of the security risks of text-to-image models.
提供机构：
Guanlin Lee et al.
