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

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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Bibliographic Details
Main Authors: George Onoufriou, Marc Hanheide, Georgios Leontidis
Format: Article
Language:English
Published: MDPI AG 2022-10-01
Series:Sensors
Subjects:
fully homomorphic encryption
deep learning
machine learning
privacy-preserving technologies
agri-food
data sharing
Online Access:https://www.mdpi.com/1424-8220/22/21/8124

Internet

https://www.mdpi.com/1424-8220/22/21/8124

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