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06/09/2021
Polynomial magic! Hermite polynomials for private data generation
Kernel mean embedding is a useful tool to compare probability measures. ...
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10/26/2020
Q-FIT: The Quantifiable Feature Importance Technique for Explainable Machine Learning
We introduce a novel framework to quantify the importance of each input ...
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02/26/2020
Differentially Private Mean Embeddings with Random Features (DP-MERF) for Simple Practical Synthetic Data Generation
We present a differentially private data generation paradigm using rando...
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10/15/2019
DP-MAC: The Differentially Private Method of Auxiliary Coordinates for Deep Learning
Developing a differentially private deep learning algorithm is challengi...
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06/05/2019