Models and algorithms of privacy-preserving machine learning

Models and algorithms of privacy-preserving machine learning

The paper is devoted to the recent scientific problem of privacy-preserving machine learning. The problem actuality is determined by the growing need to use machine learning for personal data, as well as for data that make up commercial, medical, financial and other types of information protected by...

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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 2020-03-01
Series:Безопасность информационных технологий
Subjects:
data mining, machine learning, deep learning, federated learning, transfer learning, privacy, secure multi-party computations, secret sharing scheme, homomorphic encryption.
Online Access:https://bit.mephi.ru/index.php/bit/article/view/1251

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