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04/29/2019
SEALion: a Framework for Neural Network Inference on Encrypted Data
We present SEALion: an extensible framework for privacy-preserving machi...
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12/07/2018
Three Tools for Practical Differential Privacy
Differentially private learning on real-world data poses challenges for ...
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10/02/2018
Sinkhorn AutoEncoders
Optimal Transport offers an alternative to maximum likelihood for learni...
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03/11/2018
Entity Resolution and Federated Learning get a Federated Resolution
Consider two data providers, each maintaining records of different featu...
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09/13/2016
Making Deep Neural Networks Robust to Label Noise: a Loss Correction Approach
We present a theoretically grounded approach to train deep neural networ...
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06/13/2016
The Crossover Process: Learnability and Data Protection from Inference Attacks
It is usual to consider data protection and learnability as conflicting ...
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02/08/2016
