Extended Cryptotree: Training and Inference on Encrypted Data
dc.contributor.author | Schier, Marie-Theres | |
dc.contributor.author | Mück, Penelope | |
dc.contributor.author | Logiewa, Robert | |
dc.contributor.editor | Gazdag, Stefan-Lukas | |
dc.contributor.editor | Tiepelt, Marcel | |
dc.contributor.editor | Loebenberger, Daniel | |
dc.contributor.editor | Nüsken, Michael | |
dc.date.accessioned | 2021-11-22T06:54:20Z | |
dc.date.available | 2021-11-22T06:54:20Z | |
dc.date.issued | 2021 | |
dc.identifier.doi | 10.18420/cdm-2021-33-32 | |
dc.identifier.uri | https://dl.gi.de/handle/20.500.12116/37569 | |
dc.language.iso | en | |
dc.publisher | Gesellschaft für Informatik e.V. / FG KRYPTO | |
dc.relation.ispartof | crypto day matters 33 | |
dc.relation.ispartofseries | crypto day matters | |
dc.title | Extended Cryptotree: Training and Inference on Encrypted Data | en |
dc.type | Text/Abstract | |
gi.citation.publisherPlace | Bonn | |
gi.conference.date | 17.09.2021 | |
gi.conference.location | online | |
gi.conference.sessiontitle | Kurzbeitrag |
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