Evaluation of Privacy-Preserving Support Vector Machine (SVM) Learning Using Homomorphic Encryption

The requirement for privacy-aware machine learning increases as we continue to use PII (personally identifiable information) within machine training. To overcome the existing privacy issues, we can apply fully homomorphic encryption (FHE) to encrypt data before they are fed into a machine learning m...

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Bibliographic Details

Published in:	Cryptography
Main Authors:	William J. Buchanan, Hisham Ali
Format:	Article
Language:	English
Published:	MDPI AG 2025-05-01
Subjects:	homomorphic encryption support vector machine privacy-preserving
Online Access:	https://www.mdpi.com/2410-387X/9/2/33