Privacy-preserving machine learning based on secure four-party computations

The paper is devoted to the analysis of privacy-preserving machine learning systems based on the concept of secure four-party computations. The advantages of the four-party computations over the two- and three-party computations are analyzed. The definitions are given that express the resistance of...

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Bibliographic Details

Published in:	Безопасность информационных технологий
Main Author:	Sergey V. Zapechnikov
Format:	Article
Language:	English
Published:	Joint Stock Company "Experimental Scientific and Production Association SPELS 2022-06-01
Subjects:	privacy-preserving machine learning, secure multi-party computations, secret sharing scheme.
Online Access:	https://bit.spels.ru/index.php/bit/article/view/1417