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HOG feature extraction from encrypted images for privacy-preserving
  machine learning

HOG feature extraction from encrypted images for privacy-preserving machine learning

29 April 2019
Masaki Kitayama
Hitoshi Kiya
ArXiv (abs)PDFHTML

Papers citing "HOG feature extraction from encrypted images for privacy-preserving machine learning"

4 / 4 papers shown
Crypto Makes AI Evolve
Crypto Makes AI Evolve
B. Zolfaghari
Elnaz Rabieinejad
Abbas Yazdinejad
R. Parizi
Ali Dehghantanha
141
9
0
25 Jun 2022
Multitask Identity-Aware Image Steganography via Minimax Optimization
Multitask Identity-Aware Image Steganography via Minimax Optimization
Jiabao Cui
Pengyi Zhang
Songyuan Li
Liangli Zheng
Cuizhu Bao
Jupeng Xia
Xi Li
156
13
0
13 Jul 2021
Image Segmentation, Compression and Reconstruction from Edge
  Distribution Estimation with Random Field and Random Cluster Theories
Image Segmentation, Compression and Reconstruction from Edge Distribution Estimation with Random Field and Random Cluster Theories
R. Murphy
168
0
0
09 Apr 2021
Privacy-Preserving Object Detection & Localization Using Distributed
  Machine Learning: A Case Study of Infant Eyeblink Conditioning
Privacy-Preserving Object Detection & Localization Using Distributed Machine Learning: A Case Study of Infant Eyeblink Conditioning
Stefan Zwaard
H. Boele
H. Alers
Christos Strydis
C. Lew‐Williams
Zaid Al-Ars
FedML
230
3
0
14 Oct 2020
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