Scalable and Secure Logistic Regression via Homomorphic Encryption-Reference-Cited by-同舟云学术

Scalable and Secure Logistic Regression via Homomorphic Encryption

Published:2016-03-09 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the Sixth ACM Conference on Data and Application Security and Privacy
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Author:

Aono Yoshinori¹,Hayashi Takuya¹,Trieu Phong Le¹,Wang Lihua¹

Affiliation:

1. NICT, Tokyo, Japan

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/2857705.2857731

Reference5 articles.

1. Y. Aono T. Hayashi L. T. Phong L. Wang. Scalable and Secure Logistic Regression via Homomorphic Encryption. IACR Cryptology ePrint Archive 2016. Y. Aono T. Hayashi L. T. Phong L. Wang. Scalable and Secure Logistic Regression via Homomorphic Encryption. IACR Cryptology ePrint Archive 2016.

2. Private predictive analysis on encrypted medical data

3. Can homomorphic encryption be practical?

4. R. L. Rivest L. Adleman and M. L. Dertouzos. On data banks and privacy homomorphisms. Foundations of secure computation 4(11):169--180 1978. R. L. Rivest L. Adleman and M. L. Dertouzos. On data banks and privacy homomorphisms. Foundations of secure computation 4(11):169--180 1978.

5. Functional mechanism

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