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Towards the AlexNet Moment for Homomorphic Encryption: HCNN, theFirst
  Homomorphic CNN on Encrypted Data with GPUs

Towards the AlexNet Moment for Homomorphic Encryption: HCNN, theFirst Homomorphic CNN on Encrypted Data with GPUs

2 November 2018
Ahmad Al Badawi
Jin Chao
Jie Lin
Chan Fook Mun
Sim Jun Jie
B. Tan
Xiao Nan
Khin Mi Mi Aung
V. Chandrasekhar
ArXivPDFHTML

Papers citing "Towards the AlexNet Moment for Homomorphic Encryption: HCNN, theFirst Homomorphic CNN on Encrypted Data with GPUs"

12 / 12 papers shown
Title
Privacy-Preserving Credit Card Fraud Detection using Homomorphic
  Encryption
Privacy-Preserving Credit Card Fraud Detection using Homomorphic Encryption
David Nugent
13
2
0
12 Nov 2022
Private and Reliable Neural Network Inference
Private and Reliable Neural Network Inference
Nikola Jovanović
Marc Fischer
Samuel Steffen
Martin Vechev
22
14
0
27 Oct 2022
SoK: Privacy Preserving Machine Learning using Functional Encryption:
  Opportunities and Challenges
SoK: Privacy Preserving Machine Learning using Functional Encryption: Opportunities and Challenges
Prajwal Panzade
Daniel Takabi
14
6
0
11 Apr 2022
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
17
245
0
14 Jun 2021
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
Efficient Encrypted Inference on Ensembles of Decision Trees
Efficient Encrypted Inference on Ensembles of Decision Trees
Kanthi Kiran Sarpatwar
Karthik Nandakumar
Nalini Ratha
J. Rayfield
Karthikeyan Shanmugam
Sharath Pankanti
Roman Vaculin
FedML
22
5
0
05 Mar 2021
The De-democratization of AI: Deep Learning and the Compute Divide in
  Artificial Intelligence Research
The De-democratization of AI: Deep Learning and the Compute Divide in Artificial Intelligence Research
N. Ahmed
Muntasir Wahed
25
106
0
22 Oct 2020
Highly Accurate CNN Inference Using Approximate Activation Functions
  over Homomorphic Encryption
Highly Accurate CNN Inference Using Approximate Activation Functions over Homomorphic Encryption
Takumi Ishiyama
Takuya Suzuki
Hayato Yamana
29
37
0
08 Sep 2020
Rethinking Privacy Preserving Deep Learning: How to Evaluate and Thwart
  Privacy Attacks
Rethinking Privacy Preserving Deep Learning: How to Evaluate and Thwart Privacy Attacks
Lixin Fan
Kam Woh Ng
Ce Ju
Tianyu Zhang
Chang Liu
Chee Seng Chan
Qiang Yang
MIACV
17
63
0
20 Jun 2020
PrivFT: Private and Fast Text Classification with Homomorphic Encryption
PrivFT: Private and Fast Text Classification with Homomorphic Encryption
Ahmad Al Badawi
Louie Hoang
Chan Fook Mun
Kim Laine
Khin Mi Mi Aung
24
79
0
19 Aug 2019
Partially Encrypted Machine Learning using Functional Encryption
Partially Encrypted Machine Learning using Functional Encryption
T. Ryffel
Edouard Dufour Sans
Romain Gay
Francis R. Bach
D. Pointcheval
FedML
11
33
0
24 May 2019
CaRENets: Compact and Resource-Efficient CNN for Homomorphic Inference
  on Encrypted Medical Images
CaRENets: Compact and Resource-Efficient CNN for Homomorphic Inference on Encrypted Medical Images
Jin Chao
Ahmad Al Badawi
Balagopal Unnikrishnan
Jie Lin
Chan Fook Mun
...
Michael Chiang
Jayashree Kalpathy-Cramer
V. Chandrasekhar
Pavitra Krishnaswamy
Khin Mi Mi Aung
14
21
0
29 Jan 2019
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