Benign Samples Matter! Fine-tuning On Outlier Benign Samples Severely Breaks Safety

Fuente: arXiv

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Bibliographic Details
Main Authors:	Guan, Zihan, Hu, Mengxuan, Zhu, Ronghang, Li, Sheng, Vullikanti, Anil
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Computation and Language
Online Access:	Acceder al recurso
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Internet

https://arxiv.org/abs/2505.06843