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...
| Main Author: | |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Joint Stock Company "Experimental Scientific and Production Association SPELS
2022-06-01
|
| Series: | Безопасность информационных технологий |
| Subjects: | |
| Online Access: | https://bit.spels.ru/index.php/bit/article/view/1417 |