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Practical Two-party Privacy-preserving Neural Network Based on Secret
  Sharing

Practical Two-party Privacy-preserving Neural Network Based on Secret Sharing

10 April 2021
ZhengQiang Ge
Zhipeng Zhou
Dong Guo
Qiang Li
    FedML
ArXiv (abs)PDFHTML

Papers citing "Practical Two-party Privacy-preserving Neural Network Based on Secret Sharing"

5 / 5 papers shown
Title
FALCON: Honest-Majority Maliciously Secure Framework for Private Deep
  Learning
FALCON: Honest-Majority Maliciously Secure Framework for Private Deep Learning
Sameer Wagh
Shruti Tople
Fabrice Benhamouda
E. Kushilevitz
Prateek Mittal
T. Rabin
FedML
77
303
0
05 Apr 2020
XONN: XNOR-based Oblivious Deep Neural Network Inference
XONN: XNOR-based Oblivious Deep Neural Network Inference
M. Riazi
Mohammad Samragh
Hao Chen
Kim Laine
Kristin E. Lauter
F. Koushanfar
FedMLGNNBDL
74
282
0
19 Feb 2019
Distributed learning of deep neural network over multiple agents
Distributed learning of deep neural network over multiple agents
O. Gupta
Ramesh Raskar
FedMLOOD
85
606
0
14 Oct 2018
Gazelle: A Low Latency Framework for Secure Neural Network Inference
Gazelle: A Low Latency Framework for Secure Neural Network Inference
Chiraag Juvekar
Vinod Vaikuntanathan
A. Chandrakasan
79
894
0
16 Jan 2018
DeepSecure: Scalable Provably-Secure Deep Learning
DeepSecure: Scalable Provably-Secure Deep Learning
B. Rouhani
M. Riazi
F. Koushanfar
FedML
54
415
0
24 May 2017
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