EPVM: efficient and publicly verifiable computation for matrix multiplication with privacy preservation
Crossref DOI link: https://doi.org/10.1007/s10586-024-04329-2
Published Online: 2024-03-15
Published Print: 2024-08
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Xu, Chang
Rao, Hongzhou
Zhu, Liehuang
Zhang, Chuan
Sharif, Kashif
Text and Data Mining valid from 2024-03-15
Version of Record valid from 2024-03-15
Article History
Received: 1 May 2021
Revised: 5 February 2022
Accepted: 5 April 2022
First Online: 15 March 2024
Declarations
:
: Authors do not have any conflict of interest.