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Highly Accurate CNN Inference Using Approximate Activation Functions
  over Homomorphic Encryption

Highly Accurate CNN Inference Using Approximate Activation Functions over Homomorphic Encryption

8 September 2020
Takumi Ishiyama
Takuya Suzuki
Hayato Yamana
ArXivPDFHTML

Papers citing "Highly Accurate CNN Inference Using Approximate Activation Functions over Homomorphic Encryption"

2 / 2 papers shown
Title
Homomorphic WiSARDs: Efficient Weightless Neural Network training over
  encrypted data
Homomorphic WiSARDs: Efficient Weightless Neural Network training over encrypted data
Leonardo Neumann
Antonio Guimarães
Diego F. Aranha
Edson Borin
AAML
18
0
0
29 Mar 2024
HyPHEN: A Hybrid Packing Method and Optimizations for Homomorphic
  Encryption-Based Neural Networks
HyPHEN: A Hybrid Packing Method and Optimizations for Homomorphic Encryption-Based Neural Networks
Donghwan Kim
J. Park
Jongmin Kim
Sangpyo Kim
Jung Ho Ahn
19
17
0
05 Feb 2023
1