High-Speed Convolution Core Architecture for Privacy-Preserving Neural Networks

High-Speed Convolution Core Architecture for Privacy-Preserving Neural Networks

Due to legal restrictions or restrictions related to companies' internal information policies, businesses often do not trust sensitive information to public cloud providers. One of the mechanisms to ensure the security of sensitive data in clouds is homomorphic encryption. Privacy-preserving ne...

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Główni autorzy:	Lapina, M. A., Лапина, М. А., Shiriaev, E. M., Ширяев, Е. М., Babenko, M. G., Бабенко, М. Г.
Format:	Статья
Język:	English
Wydane:	Pleiades Publishing 2024
Hasła przedmiotowe:	Convolutional neural networks Spatial complexity Cryptography Differential privacy High Speed Ho-momorphic encryptions Homomorphic-encryptions Information policy Legal restriction Multiplication algorithms Scalar multiplication Privacy preserving Neural-networks Convolution
Dostęp online:	https://dspace.ncfu.ru/handle/123456789/29339
Etykiety:	Dodaj etykietę Nie ma etykietki, Dołącz pierwszą etykiete!

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