EDLaaS: Fully Homomorphic Encryption Over Neural Network Graphs for Vision and Private Strawberry Yield Forecasting. (arXiv:2110.13638v2 [cs.LG] UPDATED)

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 4th generation Cheon, Kim, Kim and Song (CKKS) FHE scheme
over fixed points provided by the Microsoft Simple Encrypted Arithmetic Library
(MS-SEAL). We significantly enhance the usability and applicability of FHE in
deep learning contexts, with a focus on the constituent graphs, traversal, and
optimisation. We find …

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