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20182025
most citedDeceiving End-to-End Deep Learning Malware Detectors using Adversarial Examples

103 citations · 219 across the 9 of their papers we have counts for

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Showing 2021Show all

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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…