30 citations · 35 across the 3 of their papers we have counts for
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cs.LG2021★ 2 cited
EDLaaS: Fully Homomorphic Encryption Over Neural Network Graphs for Vision and Private Strawberry Yield Forecasting
George Onoufriou, Marc Hanheide, Georgios Leontidis
We present automatically parameterised Fully Homomorphic Encryption (FHE) for encrypted neural network inference and exemplify our inference over FHE compatible neural networks wit…
cs.LG2021
Fully Homomorphically Encrypted Deep Learning as a Service
George Onoufriou, Paul Mayfield, Georgios Leontidis
Fully Homomorphic Encryption (FHE) is a relatively recent advancement in the field of privacy-preserving technologies. FHE allows for the arbitrary depth computation of both additi…