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NeuRel-Attack: Neural Relearning of Neurons for Security Disruption in Large Language Models

💡 原文英文，约100词，阅读约需1分钟。

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内容提要

本研究提出了一种新方法，通过识别和修改负责安全约束的神经元，诱发大型语言模型的失调，揭示现有对齐技术的脆弱性，并强调需要加强对抗性微调攻击的防御。

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