Symmetric Private Polynomial Computation From Lagrange Encoding-Reference-Cited by-同舟云学术

Symmetric Private Polynomial Computation From Lagrange Encoding

Published:2022-04 Issue:4 Volume:68 Page:2704-2718
ISSN:0018-9448
Container-title:IEEE Transactions on Information Theory
language:
Short-container-title:IEEE Trans. Inform. Theory

Author:

Zhu Jinbao¹^ORCID,Yan Qifa¹^ORCID,Tang Xiaohu¹^ORCID,Li Songze²

Affiliation:

1. Information Coding and Transmission Key Laboratory of Sichuan Province, CSNMT International Cooperation Research Center (MoST), Southwest Jiaotong University, Chengdu, China

2. Thrust of Internet of Things, The Hong Kong University of Science and Technology, Guangzhou, China

Funder

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Library and Information Sciences,Computer Science Applications,Information Systems

Link

http://xplorestaging.ieee.org/ielx7/18/9737657/09672125.pdf?arnumber=9672125

Reference33 articles.

1. A New Capacity-Achieving Private Information Retrieval Scheme With (Almost) Optimal File Length for Coded Servers

2. Secure Batch Matrix Multiplication From Grouping Lagrange Encoding

3. Lagrange coded computing: Optimal design for resiliency, security, and privacy;yu;Proc 22nd Int Conf Artif Intell Statist (AISTATS),2019

4. Private information retrieval

5. X-Secure T-Private Information Retrieval From MDS Coded Storage With Byzantine and Unresponsive Servers

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