Privacy-Preserving Deep Neural Networks Using Pixel-Based Image Encryption Without Common Security Keys

2019 ◽  
Author(s):  
Warit Sirichotedumrong ◽  
Yuma Kinoshita ◽  
Hitoshi Kiya
Keyword(s):  
Neural Networks ◽  
Image Encryption ◽  
Deep Neural Networks ◽  
Privacy Preserving ◽  
Common Security

scholarly journals Pixel-Based Image Encryption Without Key Management for Privacy-Preserving Deep Neural Networks

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 177844-177855 ◽  
Author(s):  
Warit Sirichotedumrong ◽  
Yuma Kinoshita ◽  
Hitoshi Kiya
Keyword(s):  
Neural Networks ◽  
Image Encryption ◽  
Key Management ◽  
Deep Neural Networks ◽  
Privacy Preserving

scholarly journals Privacy-Preserving Deep Neural Network Methods: Computational and Perceptual Methods—An Overview

Electronics ◽  
2021 ◽  
Vol 10 (11) ◽  
pp. 1367
Author(s):  
Raghida El El Saj ◽  
Ehsan Sedgh Sedgh Gooya ◽  
Ayman Alfalou ◽  
Mohamad Khalil
Keyword(s):  
Neural Networks ◽  
Classification Accuracy ◽  
Deep Neural Networks ◽  
Privacy Preserving ◽  
Sensitive Data ◽  
Encrypted Data ◽  
High Classification Accuracy ◽  
Hide Information ◽  
Network Methods ◽  
Cloud Environments

Privacy-preserving deep neural networks have become essential and have attracted the attention of many researchers due to the need to maintain the privacy and the confidentiality of personal and sensitive data. The importance of privacy-preserving networks has increased with the widespread use of neural networks as a service in unsecured cloud environments. Different methods have been proposed and developed to solve the privacy-preserving problem using deep neural networks on encrypted data. In this article, we reviewed some of the most relevant and well-known computational and perceptual image encryption methods. These methods as well as their results have been presented, compared, and the conditions of their use, the durability and robustness of some of them against attacks, have been discussed. Some of the mentioned methods have demonstrated an ability to hide information and make it difficult for adversaries to retrieve it while maintaining high classification accuracy. Based on the obtained results, it was suggested to develop and use some of the cited privacy-preserving methods in applications other than classification.

scholarly journals Privacy-Preserving Generative Deep Neural Networks Support Clinical Data Sharing

2019 ◽  
Vol 12 (7) ◽  
Author(s):  
Brett K. Beaulieu-Jones ◽  
Zhiwei Steven Wu ◽  
Chris Williams ◽  
Ran Lee ◽  
Sanjeev P. Bhavnani ◽  
...  
Keyword(s):  
Neural Networks ◽  
Data Sharing ◽  
Clinical Data ◽  
Deep Neural Networks ◽  
Privacy Preserving
Sign in / Sign up

Export Citation Format

Share Document