no code implementations • 12 Oct 2021 • Francis Dutil, Alexandre See, Lisa Di Jorio, Florent Chandelier
In this technical report, we explore the use of homomorphic encryption (HE) in the context of training and predicting with deep learning (DL) models to deliver strict \textit{Privacy by Design} services, and to enforce a zero-trust model of data governance.
no code implementations • 14 Jul 2018 • Andrew Jesson, Cécile Low-Kam, Tanya Nair, Florian Soudan, Florent Chandelier, Nicolas Chapados
The Adversarially Learned Mixture Model (AMM) is a generative model for unsupervised or semi-supervised data clustering.