Publication:
Secure multi-party computations for privacy-preserving machine learning

Простая страница элемента
dc.contributor.authorZapechnikov, S.
dc.contributor.authorЗапечников, Сергей Владимирович
dc.date.accessioned2024-12-25T17:04:54Z
dc.date.available2024-12-25T17:04:54Z
dc.date.issued2022
dc.format.extentС. 523-527
dc.identifier.citationZapechnikov, S. Secure multi-party computations for privacy-preserving machine learning / Zapechnikov, S. // Procedia Computer Science. - 2022. - 213. - № C. - P. 523-527. - 10.1016/j.procs.2022.11.100
dc.identifier.doi10.1016/j.procs.2022.11.100
dc.identifier.urihttps://www.doi.org/10.1016/j.procs.2022.11.100
dc.identifier.urihttps://www.scopus.com/record/display.uri?eid=2-s2.0-85146120722&origin=resultslist
dc.identifier.urihttps://openrepository.mephi.ru/handle/123456789/28242
dc.relation.ispartofProcedia Computer Science
dc.titleSecure multi-party computations for privacy-preserving machine learning
dc.typeConference Paper
dspace.entity.typePublication
oaire.citation.issueC
oaire.citation.volume213
relation.isAuthorOfPublicationa5cd9b64-c141-4a13-94a9-c9390fa862ea
relation.isAuthorOfPublication.latestForDiscoverya5cd9b64-c141-4a13-94a9-c9390fa862ea
relation.isOrgUnitOfPublication010157d0-1f75-46b2-ab5b-712e3424b4f5
relation.isOrgUnitOfPublication.latestForDiscovery010157d0-1f75-46b2-ab5b-712e3424b4f5
Файлы
Коллекции
Публикации