HE-Friendly Algorithm for Privacy-Preserving SVM Training

HE-Friendly Algorithm for Privacy-Preserving SVM Training

Support vector machine (SVM) is one of the most popular machine learning algorithms. It predicts a pre-defined output variable in real-world applications. Machine learning on encrypted data is becoming more and more important to protect both model information and data against various adversaries. Wh...

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Bibliographic Details
Main Authors: Saerom Park, Junyoung Byun, Joohee Lee, Jung Hee Cheon, Jaewook Lee
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Cryptography
data privacy
fully homomorphic encryption
support vector machine
privacy-preserving training
Online Access:https://ieeexplore.ieee.org/document/9040596/

Internet

https://ieeexplore.ieee.org/document/9040596/

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