Attack prompt generation for red teaming and defending large language models

Large language models (LLMs) are susceptible to red teaming attacks, which can induce LLMs to generate harmful content. Previous research constructs attack prompts via manual or automatic methods, which have their own limitations on construction cost and quality. To address these issues, we propose...

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Bibliographic Details
Main Authors: DENG, Boyi, WANG, Wenjie, FENG, Fuli, DENG, Yang, WANG, Qifan, HE, Xiangnan
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2023
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Online Access:https://ink.library.smu.edu.sg/sis_research/9118
https://ink.library.smu.edu.sg/context/sis_research/article/10121/viewcontent/2023.findings_emnlp.143.pdf
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Institution: Singapore Management University
Language: English
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