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04/26/2023
Sensitive Tuning of Large Scale CNNs for E2E Secure Prediction using Homomorphic Encryption
Privacy-preserving machine learning solutions have recently gained signi...
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07/07/2022
HE-PEx: Efficient Machine Learning under Homomorphic Encryption using Pruning, Permutation and Expansion
Privacy-preserving neural network (NN) inference solutions have recently...
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11/05/2021
Fighting COVID-19 in the Dark: Methodology for Improved Inference Using Homomorphically Encrypted DNN
Privacy-preserving deep neural network (DNN) inference is a necessity in...
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11/03/2020
Tile Tensors: A versatile data structure with descriptive shapes for homomorphic encryption
Moving from the theoretical promise of Fully Homomorphic Encryption (FHE...
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02/16/2019
A Little Is Enough: Circumventing Defenses For Distributed Learning
Distributed learning is central for large-scale training of deep-learnin...
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02/13/2018
