Privacy-preserving neural networks with Homomorphic encryption: Challenges and opportunities
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
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1936-6450
- Extent
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Online-Ressource
- Language
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Englisch
- Notes
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online resource.
- Bibliographic citation
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Privacy-preserving neural networks with Homomorphic encryption: Challenges and opportunities ; volume:14 ; number:3 ; day:8 ; month:3 ; year:2021 ; pages:1666-1691 ; date:5.2021
Peer-to-peer networking and applications ; 14, Heft 3 (8.3.2021), 1666-1691, 5.2021
- Creator
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Pulido-Gaytan, Bernardo
Tchernykh, Andrei
Cortés-Mendoza, Jorge M.
Babenko, Mikhail
Radchenko, Gleb
Avetisyan, Arutyun
Drozdov, Alexander Yu
- Contributor
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SpringerLink (Online service)
- DOI
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10.1007/s12083-021-01076-8
- URN
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urn:nbn:de:101:1-2021060320013036838563
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
14.08.2025, 11:02 AM CEST
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Associated
- Pulido-Gaytan, Bernardo
- Tchernykh, Andrei
- Cortés-Mendoza, Jorge M.
- Babenko, Mikhail
- Radchenko, Gleb
- Avetisyan, Arutyun
- Drozdov, Alexander Yu
- SpringerLink (Online service)
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