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SSNet: A Lightweight Multi-Party Computation Scheme for Practical
  Privacy-Preserving Machine Learning Service in the Cloud

SSNet: A Lightweight Multi-Party Computation Scheme for Practical Privacy-Preserving Machine Learning Service in the Cloud

4 June 2024
Shijin Duan
Chenghong Wang
Hongwu Peng
Yukui Luo
Wujie Wen
Caiwen Ding
Xiaolin Xu
ArXivPDFHTML

Papers citing "SSNet: A Lightweight Multi-Party Computation Scheme for Practical Privacy-Preserving Machine Learning Service in the Cloud"

3 / 3 papers shown
Title
Overcoming Oscillations in Quantization-Aware Training
Overcoming Oscillations in Quantization-Aware Training
Markus Nagel
Marios Fournarakis
Yelysei Bondarenko
Tijmen Blankevoort
MQ
106
98
0
21 Mar 2022
CryptGPU: Fast Privacy-Preserving Machine Learning on the GPU
CryptGPU: Fast Privacy-Preserving Machine Learning on the GPU
Sijun Tan
Brian Knott
Yuan Tian
David J. Wu
BDL
FedML
55
182
0
22 Apr 2021
CrypTFlow: Secure TensorFlow Inference
CrypTFlow: Secure TensorFlow Inference
Nishant Kumar
Mayank Rathee
Nishanth Chandran
Divya Gupta
Aseem Rastogi
Rahul Sharma
91
235
0
16 Sep 2019
1