Enhancing Large Language Model LLM Safety Against Fine-Tuning Threats: A Backdoor Enhanced Alignment Strategy

Despite the impressive capabilities of LLMs like GPT-4 and Llama-2, they require fine-tuning with tailored data for specific business needs, exposing them to safety threats such as the Fine-tuning based Jailbreak Attack (FJAttack). Incorporating even a few harmful examples during fine-tuning can severely compromise model safety. While integrating safety examples into fine-tuning datasets is a […]

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