51 citations · 62 across the 2 of their papers we have counts for
2 papers
cs.CR2021★ 11 cited
A methodology for training homomorphicencryption friendly neural networks
Moran Baruch, Nir Drucker, Lev Greenberg +1
Privacy-preserving deep neural network (DNN) inference is a necessity in different regulated industries such as healthcare, finance and retail. Recently, homomorphic encryption (HE…
cs.CR2020★ 51 cited
HeLayers: A Tile Tensors Framework for Large Neural Networks on Encrypted Data
Ehud Aharoni, Allon Adir, Moran Baruch +9
Privacy-preserving solutions enable companies to offload confidential data to third-party services while fulfilling their government regulations. To accomplish this, they leverage…