CHE: Channel-Wise Homomorphic Encryption for Ciphertext Inference in Convolutional Neural Network

CHE: Channel-Wise Homomorphic Encryption for Ciphertext Inference in Convolutional Neural Network

Privacy-preserving deep learning (PPDL), which leverages Homomorphic Encryption (HE), has attracted attention as a promising approach to ensure the privacy of deep learning applications’ data. While recent studies have developed and evaluated the HE-based PPDL algorithms, the achieved per...

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Bibliographic Details
Main Authors: Tianying Xie, Hayato Yamana, Tatsuya Mori
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Channel-wise
homomorphic encryption
CNN
privacy-preserving
ciphertext inference
Online Access:https://ieeexplore.ieee.org/document/9903645/

Internet

https://ieeexplore.ieee.org/document/9903645/

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