Towards Merging-conditional Backdoor Unalignment against Large Language Models
Model merging has become widely adopted for enhancing the task-specific performance of Large Language Models (LLMs) without additional training. While the specialized model from third-party platforms may undergo safety audits (e.g., backdoor detection), we reveal a novel and critical threat: One-sided Merging-Condition...
Yu-Kun Chen, Yi-Dou Chen, Yi-Ming Li et al.
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