Defending large language models against jailbreak attacks via layer-specific editing
Large language models (LLMs) are increasingly being adopted in a wide range of realworld applications. Despite their impressive performance, recent studies have shown that LLMs are vulnerable to deliberately crafted adversarial prompts even when aligned via Reinforcement Learning from Human Feedback...
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| Main Authors: | , , , |
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| Format: | text |
| Language: | English |
| Published: |
Institutional Knowledge at Singapore Management University
2024
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| Subjects: | |
| Online Access: | https://ink.library.smu.edu.sg/sis_research/9832 https://ink.library.smu.edu.sg/context/sis_research/article/10832/viewcontent/2024.findings_emnlp.293.pdf |
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| Institution: | Singapore Management University |
| Language: | English |