Efficient Noise Generation Protocols for Differentially Private Multiparty Computation-Reference-Cited by-同舟云学术

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Efficient Noise Generation Protocols for Differentially Private Multiparty Computation

Published:2022 Issue: Volume: Page:1-16
ISSN:1545-5971
Container-title:IEEE Transactions on Dependable and Secure Computing
language:
Short-container-title:IEEE Trans. Dependable and Secure Comput.

Author:

Eriguchi Reo¹^ORCID,Ichikawa Atsunori²,Kunihiro Noboru³^ORCID,Nuida Koji⁴

Affiliation:

1. Graduate School of Information Science and Technology, The University of Tokyo, Bunkyo-ku, Tokyo, Japan

2. NTT Social Informatics Laboratories, Tokyo, Japan

3. Department of Computer Science, University of Tsukuba, Ibaraki, Japan

4. Institute of Mathematics for Industry, Kyushu University, Fukuoka, Japan

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/8858/4358699/09976235.pdf?arnumber=9976235

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Secure Multiparty Sampling of a Biased Coin for Differential Privacy;Lecture Notes in Computer Science;2024

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