TrustAIRLab/in-the-wild-jailbreak-prompts
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, employing our new framework JailbreakHub, we conduct the first measurement study on jailbreak prompts in the wild, with 15,140 prompts collected from December 2022 to December 2023 (including 1… See the full description on the dataset page: https://huggingface.co/datasets/TrustAIRLab/in-the-wild-jailbreak-pro
| Author / organization | TrustAIRLab |
|---|---|
| License (as declared) | mit |
| Downloads | 6.5K (as reported by Hugging Face) |
| Likes | 58 |
| Created | 8 October 2024 |
| Last updated at source | 19 November 2024 |
Popularity, last 4 days
6,490 now (-503 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
Connected in the knowledge graph
- Horizon-Labs/prompt-injection-guard-smallModel · used to train
- Horizon-Labs/prompt-injection-guard-baseModel · used to train
- jeff-legacy/Jeff-Qwen3.5-0.8B-guardModel · used to train
- vllm-sr/Decision-1.0-Route-0.6BModel · used to train
- Horizon-Labs/prompt-injection-guard-largeModel · used to train
- mstrasser/jeff-adapter-guardModel · used to train
Recent changes
- 16 Oct 2026 Description: 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 B → 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 B
Changes detected by Silytics between refreshes of the source.
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