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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Bibliographic Details
Main Authors: ZHAO, Wei, LI, Zhe, LI, Yige, SUN, Jun
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2024
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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
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