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DrAttack: Prompt Decomposition and Reconstruction Makes Powerful LLMs Jailbreakers
Xirui Li
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Ruochen Wang
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Minhao Cheng
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Tianyi Zhou
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Cho-Jui Hsieh
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Paper Details:
Month: November
Year: 2024
Location: Miami, Florida, USA
Venue:
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https://turningpoint-ai.github.io/DrAttack/
https://nlp.stanford.edu/software/lex-parser.html
https://easyjailbreak.github.io/EasyJailbreakDoc.github.io/
https://platform.openai.com/docs/guides/embeddings/embedding-models
https://chat.openai.com
https://www.llama2.ai/
https://github.com/llm-attacks/llm-attacks?tab=MIT-1-ov-file
https://github.com/JailbreakBench/jailbreakbench?tab=MIT-1-ov-file
https://github.com/centerforaisafety/HarmBench?tab=MIT-1-ov-file
https://github.com/EasyJailbreak/EasyJailbreak?tab=GPL-3.0-1-ov-file
https://ai.meta.com/llama/license
https://www.gnu.org/licenses/old-licenses/gpl-2.0.html
https://chat.openai.com
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