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BAYHENN: Combining Bayesian Deep Learning and Homomorphic Encryption for
  Secure DNN Inference

BAYHENN: Combining Bayesian Deep Learning and Homomorphic Encryption for Secure DNN Inference

3 June 2019
Peichen Xie
Bingzhe Wu
Guangyu Sun
    BDL
    FedML
ArXivPDFHTML

Papers citing "BAYHENN: Combining Bayesian Deep Learning and Homomorphic Encryption for Secure DNN Inference"

5 / 5 papers shown
Title
On Lattices, Learning with Errors, Random Linear Codes, and Cryptography
On Lattices, Learning with Errors, Random Linear Codes, and Cryptography
O. Regev
LRM
81
1,075
0
08 Jan 2024
Towards Practical Privacy-Preserving Solution for Outsourced Neural
  Network Inference
Towards Practical Privacy-Preserving Solution for Outsourced Neural Network Inference
Pinglan Liu
Wensheng Zhang
FedML
19
3
0
06 Jun 2022
Precise Approximation of Convolutional Neural Networks for
  Homomorphically Encrypted Data
Precise Approximation of Convolutional Neural Networks for Homomorphically Encrypted Data
Junghyun Lee
Eunsang Lee
Joon-Woo Lee
Yongjune Kim
Young-Sik Kim
Jong-Seon No
24
56
0
23 May 2021
Privacy-preserving Cloud-based DNN Inference
Privacy-preserving Cloud-based DNN Inference
Shangyu Xie
Bingyu Liu
Yuan Hong
FedML
11
6
0
07 Feb 2021
A Survey on Deep Learning in Medical Image Analysis
A Survey on Deep Learning in Medical Image Analysis
G. Litjens
Thijs Kooi
B. Bejnordi
A. Setio
F. Ciompi
Mohsen Ghafoorian
Jeroen van der Laak
Bram van Ginneken
C. I. Sánchez
OOD
343
10,639
0
19 Feb 2017
1