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A Review of Homomorphic Encryption Libraries for Secure Computation

A Review of Homomorphic Encryption Libraries for Secure Computation

6 December 2018
Sai Sri Sathya
Praneeth Vepakomma
Ramesh Raskar
R. Ramachandra
Santanu Bhattacharya
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Papers citing "A Review of Homomorphic Encryption Libraries for Secure Computation"

5 / 5 papers shown
Title
Defending against Reconstruction Attack in Vertical Federated Learning
Defending against Reconstruction Attack in Vertical Federated Learning
Jiankai Sun
Yuanshun Yao
Weihao Gao
Junyuan Xie
Chong-Jun Wang
AAML
FedML
11
28
0
21 Jul 2021
Privacy and Trust Redefined in Federated Machine Learning
Privacy and Trust Redefined in Federated Machine Learning
Pavlos Papadopoulos
Will Abramson
A. Hall
Nikolaos Pitropakis
William J. Buchanan
31
42
0
29 Mar 2021
Apps Gone Rogue: Maintaining Personal Privacy in an Epidemic
Apps Gone Rogue: Maintaining Personal Privacy in an Epidemic
Ramesh Raskar
Isabel Schunemann
Rachel Barbar
Kristen Vilcans
J. Gray
...
Greg Storm
J. Werner
Ayush Chopra
Gauri Gupta
Vivek Sharma
22
149
0
19 Mar 2020
No Peek: A Survey of private distributed deep learning
No Peek: A Survey of private distributed deep learning
Praneeth Vepakomma
Tristan Swedish
Ramesh Raskar
O. Gupta
Abhimanyu Dubey
SyDa
FedML
22
99
0
08 Dec 2018
nGraph-HE: A Graph Compiler for Deep Learning on Homomorphically
  Encrypted Data
nGraph-HE: A Graph Compiler for Deep Learning on Homomorphically Encrypted Data
Fabian Boemer
Yixing Lao
Rosario Cammarota
Casimir Wierzynski
FedML
6
163
0
23 Oct 2018
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