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Panacea: Mitigating Harmful Fine-tuning for Large Language Models via Post-fine-tuning Perturbation

Panacea: Mitigating Harmful Fine-tuning for Large Language Models via Post-fine-tuning Perturbation

30 January 2025
Yishuo Wang
Tiansheng Huang
Li Shen
H. Yao
Haotian Luo
Rui Liu
Naiqiang Tan
Jiaxing Huang
Dacheng Tao
    AAML
    MoMe
    CLL
ArXivPDFHTML

Papers citing "Panacea: Mitigating Harmful Fine-tuning for Large Language Models via Post-fine-tuning Perturbation"

1 / 1 papers shown
Title
Benign Samples Matter! Fine-tuning On Outlier Benign Samples Severely Breaks Safety
Benign Samples Matter! Fine-tuning On Outlier Benign Samples Severely Breaks Safety
Zihan Guan
Mengxuan Hu
Ronghang Zhu
Sheng Li
Anil Vullikanti
AAML
31
0
0
11 May 2025
1