Privacy-preserving machine learning based on secure two-party computations
The paper is devoted to the analysis of privacy-preserving machine learning systems based on secure two-party computations. The paper provides introductory information about privacy-preserving machine learning systems, analyses the goals and objectives of its application. A generalized model of priv...
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Joint Stock Company "Experimental Scientific and Production Association SPELS
2021-12-01
|
| Series: | Безопасность информационных технологий |
| Subjects: | |
| Online Access: | https://bit.mephi.ru/index.php/bit/article/view/1374 |