Information-Theoretically Private Matrix Multiplication From MDS-Coded Storage
Author:
Affiliation:
1. Thrust of Internet of Things, The Hong Kong University of Science and Technology (Guangzhou), Guangzhou, China
2. Hubei Key Laboratory of Applied Mathematics, Faculty of Mathematics and Statistics, Hubei University, Wuhan, China
Funder
National Natural Science Foundation of China
Foshan Hong Kong University of Science and Technology Projects
China Postdoctoral Science Foundation
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Computer Networks and Communications,Safety, Risk, Reliability and Quality
Link
http://xplorestaging.ieee.org/ielx7/10206/9970396/10054080.pdf?arnumber=10054080
Reference50 articles.
1. Publicly verifiable delegation of large polynomials and matrix computations, with applications
2. On Matrix Multiplication with Homomorphic Encryption
3. Slalom: Fast, verifiable and private execution of neural networks in trusted hardware;tramer;Proc Int Conf Learn Represent,2018
4. Privacy-Preserving and Publicly Verifiable Matrix Multiplication
5. Efficient Secure Matrix Multiplication Over LWE-Based Homomorphic Encryption
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