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Uncovering Gradient Inversion Risks in Practical Language Model Training

Uncovering Gradient Inversion Risks in Practical Language Model Training

28 July 2025
Xinguo Feng
Zhongkui Ma
Zihan Wang
Eu Joe Chegne
Mengyao Ma
Alsharif Abuadbba
Guangdong Bai
ArXiv (abs)PDFHTMLGithub (39502★)

Papers citing "Uncovering Gradient Inversion Risks in Practical Language Model Training"

3 / 3 papers shown
Title
Slice or the Whole Pie? Utility Control for AI Models
Slice or the Whole Pie? Utility Control for AI Models
Ye Tao
AAML
18
0
0
06 Aug 2025
Depth Gives a False Sense of Privacy: LLM Internal States Inversion
Depth Gives a False Sense of Privacy: LLM Internal States Inversion
Tian Dong
Yan Meng
Shaofeng Li
Guoxing Chen
Zhen Liu
Haojin Zhu
AAML
52
0
0
22 Jul 2025
ReCIT: Reconstructing Full Private Data from Gradient in Parameter-Efficient Fine-Tuning of Large Language Models
ReCIT: Reconstructing Full Private Data from Gradient in Parameter-Efficient Fine-Tuning of Large Language Models
Jin Xie
Ruishi He
Songze Li
Xiaojun Jia
Shouling Ji
SILMAAML
139
0
0
29 Apr 2025
1