103 citations · 219 across the 9 of their papers we have counts for
3 papers · 1 filter
Efficient Pruning for Machine Learning Under Homomorphic Encryption
Ehud Aharoni, Moran Baruch, Pradip Bose +8
Privacy-preserving machine learning (PPML) solutions are gaining widespread popularity. Among these, many rely on homomorphic encryption (HE) that offers confidentiality of the mod…
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…
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…