EDLaaS:Fully Homomorphic Encryption over Neural Network Graphs for Vision and Private Strawberry Yield Forecasting

We present automatically parameterised Fully Homomorphic Encryption (FHE) for encrypted neural network inference and exemplify our inference over FHE-compatible neural networks with our own open-source framework and reproducible examples. We use the fourth generation Cheon, Kim, Kim, and Song (CKKS)...

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Detalles Bibliográficos
Autores principales: Onoufriou, George, Hanheide, Marc, Leontidis, Georgios
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9658784/
https://www.ncbi.nlm.nih.gov/pubmed/36365823
http://dx.doi.org/10.3390/s22218124

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9658784/
https://www.ncbi.nlm.nih.gov/pubmed/36365823
http://dx.doi.org/10.3390/s22218124

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