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Giorgio Patrini

SEALion: a Framework for Neural Network Inference on Encrypted Data

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Apr 29, 2019
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Three Tools for Practical Differential Privacy

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Dec 07, 2018
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Sinkhorn AutoEncoders

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Oct 03, 2018
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Entity Resolution and Federated Learning get a Federated Resolution

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Mar 20, 2018
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Private federated learning on vertically partitioned data via entity resolution and additively homomorphic encryption

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Nov 29, 2017
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Making Deep Neural Networks Robust to Label Noise: a Loss Correction Approach

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Mar 22, 2017
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The Crossover Process: Learnability and Data Protection from Inference Attacks

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Mar 07, 2017
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Tsallis Regularized Optimal Transport and Ecological Inference

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Sep 15, 2016
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Fast Learning from Distributed Datasets without Entity Matching

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Mar 13, 2016
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Loss factorization, weakly supervised learning and label noise robustness

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Feb 09, 2016
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