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Practical Privacy-Preserving Gaussian Process Regression via Secret
  Sharing

Practical Privacy-Preserving Gaussian Process Regression via Secret Sharing

26 June 2023
Jinglong Luo
Yehong Zhang
Jiaqi Zhang
Shuang Qin
Haibo Wang
Yue Yu
Zenglin Xu
ArXivPDFHTML

Papers citing "Practical Privacy-Preserving Gaussian Process Regression via Secret Sharing"

3 / 3 papers shown
Title
SecFormer: Towards Fast and Accurate Privacy-Preserving Inference for
  Large Language Models
SecFormer: Towards Fast and Accurate Privacy-Preserving Inference for Large Language Models
Jinglong Luo
Yehong Zhang
Zhuo Zhang
Jiaqi Zhang
Xin Mu
Hui Wang
Yue Yu
Zenglin Xu
49
9
0
01 Jan 2024
PrivLM-Bench: A Multi-level Privacy Evaluation Benchmark for Language
  Models
PrivLM-Bench: A Multi-level Privacy Evaluation Benchmark for Language Models
Haoran Li
Dadi Guo
Donghao Li
Wei Fan
Qi Hu
Xin Liu
Chunkit Chan
Duanyi Yao
Yuan Yao
Yangqiu Song
PILM
39
24
0
07 Nov 2023
Federated Bayesian Optimization via Thompson Sampling
Federated Bayesian Optimization via Thompson Sampling
Zhongxiang Dai
K. H. Low
Patrick Jaillet
FedML
89
109
0
20 Oct 2020
1