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Dataset · Hugging Face

tom-gibbs/multi-turn_jailbreak_attack_datasets

Multi-Turn Jailbreak Attack Datasets Description This dataset was created to compare single-turn and multi-turn jailbreak attacks on large language models (LLMs). The primary goal is to take a single harmful prompt and distribute the harm over multiple turns, making each prompt appear harmless in isolation. This approach is compared against traditional single-turn attacks with the complete prompt to understand their relative impacts and failure modes. The key… See the full description on the dataset page: https://huggingface.co/datasets/tom-gibbs/multi-turn_jailbreak_attack_datasets.

Author / organizationtom-gibbs
License (as declared)mit
Downloads1.1K (as reported by Hugging Face)
Likes20
Created18 August 2024
Last updated at source7 September 2024
jailbreakmulti-turnLLMmulti-promptAI safetyRed Teaming
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  • 17 Oct 2026 Description: Multi-Turn Jailbreak Attack Datasets Description This dataset was created to compare single-turn and multi-turn jailbreak attacks on large language models (LLMs). The primary goal is to take a single harmful prompt and distribute the harm o → Multi-Turn Jailbreak Attack Datasets Description This dataset was created to compare single-turn and multi-turn jailbreak attacks on large language models (LLMs). The primary goal is to take a single harmful prompt and distribute the harm o

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