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

The paper is devoted to the analysis of privacy-preserving machine learning systems based on the concept of secure three-party computations. After general information about the purposes of secure multi-party computations and privacy-preserving machine learning, an overview of existing privacy-preser...

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Bibliographic Details
Main Author: Sergey V. Zapechnikov
Format: Article
Language:English
Published: Joint Stock Company "Experimental Scientific and Production Association SPELS 2022-03-01
Series:Безопасность информационных технологий
Subjects:
Online Access:https://bit.mephi.ru/index.php/bit/article/view/1400