"fine-tuning attacks" Papers

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CoreGuard: Safeguarding Foundational Capabilities of LLMs Against Model Stealing in Edge Deployment

Qinfeng Li, Tianyue Luo, Xuhong Zhang et al.

NEURIPS 2025arXiv:2410.13903
7
citations

ErrorTrace: A Black-Box Traceability Mechanism Based on Model Family Error Space

Chuanchao Zang, Xiangtao Meng, Wenyu Chen et al.

NEURIPS 2025spotlight

Safety Alignment Should be Made More Than Just a Few Tokens Deep

Xiangyu Qi, Ashwinee Panda, Kaifeng Lyu et al.

ICLR 2025arXiv:2406.05946
303
citations

Tamper-Resistant Safeguards for Open-Weight LLMs

Rishub Tamirisa, Bhrugu Bharathi, Long Phan et al.

ICLR 2025arXiv:2408.00761
113
citations