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Privacy-preserving neural networks with Homomorphic encryption: Challenges and opportunities

Crossref DOI link: https://doi.org/10.1007/s12083-021-01076-8

Published Online: 2021-03-08

Published Print: 2021-05

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Pulido-Gaytan, Bernardo https://orcid.org/0000-0002-7384-7670
Tchernykh, Andrei https://orcid.org/0000-0001-5029-5212
Cortés-Mendoza, Jorge M. https://orcid.org/0000-0001-7209-8324
Babenko, Mikhail https://orcid.org/0000-0001-7066-0061
Radchenko, Gleb https://orcid.org/0000-0002-7145-5630
Avetisyan, Arutyun https://orcid.org/0000-0002-0470-9944
Drozdov, Alexander Yu https://orcid.org/0000-0001-5607-2749
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Text and Data Mining valid from 2021-03-08

Version of Record valid from 2021-03-08
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Article History

Received: 29 July 2020

Accepted: 13 January 2021

First Online: 8 March 2021