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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| Main Authors: | , , , , , |
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| Format: | text |
| Language: | English |
| Published: |
Institutional Knowledge at Singapore Management University
2023
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| Subjects: | |
| 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 |