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SEALion: a Framework for Neural Network Inference on Encrypted Data

SEALion: a Framework for Neural Network Inference on Encrypted Data

29 April 2019
Tim van Elsloo
Giorgio Patrini
Hamish Ivey-Law
    FedML
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Papers citing "SEALion: a Framework for Neural Network Inference on Encrypted Data"

5 / 5 papers shown
Title
HETAL: Efficient Privacy-preserving Transfer Learning with Homomorphic
  Encryption
HETAL: Efficient Privacy-preserving Transfer Learning with Homomorphic Encryption
Seewoo Lee
Garam Lee
Jung Woo Kim
Junbum Shin
Mun-Kyu Lee
30
25
0
21 Mar 2024
BlindFL: Vertical Federated Machine Learning without Peeking into Your
  Data
BlindFL: Vertical Federated Machine Learning without Peeking into Your Data
Fangcheng Fu
Huanran Xue
Yong Cheng
Yangyu Tao
Bin Cui
FedML
16
59
0
16 Jun 2022
A General Purpose Transpiler for Fully Homomorphic Encryption
A General Purpose Transpiler for Fully Homomorphic Encryption
Shruthi Gorantala
Rob Springer
Sean Purser-Haskell
William K. C. Lam
Royce J. Wilson
...
Aishe Krishnamurthy
Miguel Guevara
Irippuge Milinda Perera
Iurii Sushko
Bryant Gipson
19
49
0
15 Jun 2021
Privacy-Preserving Machine Learning with Fully Homomorphic Encryption
  for Deep Neural Network
Privacy-Preserving Machine Learning with Fully Homomorphic Encryption for Deep Neural Network
Joon-Woo Lee
Hyungchul Kang
Yongwoo Lee
W. Choi
Jieun Eom
...
Eunsang Lee
Junghyun Lee
Donghoon Yoo
Young-Sik Kim
Jong-Seon No
15
245
0
14 Jun 2021
SoK: Fully Homomorphic Encryption Compilers
SoK: Fully Homomorphic Encryption Compilers
Alexander Viand
Patrick Jattke
Anwar Hithnawi
38
98
0
18 Jan 2021
1