TrustAIRLab/in-the-wild-jailbreak-prompts download history

TrustAIRLab/in-the-wild-jailbreak-prompts is a text generation dataset on the Hugging Face Hub. In the last 30 days it was downloaded 7,376 times (1,601 in the last 7 days), and 49,077 times in total. It ranks #4,046 among datasets by monthly downloads.

In-The-Wild Jailbreak Prompts on LLMs This is the official repository for the ACM CCS 2024 paper "Do Anything Now'': Characterizing and Evaluating In-The-Wild Jailbreak Prompts on Large Language Models by Xinyue Shen, Zeyuan Chen, Michael Backes, Yun Shen, and Yang Zhang. In this project,

Models trained on in-the-wild-jailbreak-prompts

21 models list it as training data.

Spaces using in-the-wild-jailbreak-prompts

Open TrustAIRLab/in-the-wild-jailbreak-prompts on Hugging Face

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