Practical Privacy-Preserving Gaussian Process Regression via Secret Sharing

26 June 2023

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 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 Haoran Li Dadi Guo Donghao Li Wei Fan Qi Hu Xin Liu Chunkit Chan Duanyi Yao Yuan Yao Yangqiu Song PILM 42 24 0 07 Nov 2023
Federated Bayesian Optimization via Thompson Sampling Zhongxiang Dai K. H. Low Patrick Jaillet FedML 89 111 0 20 Oct 2020