Sparsity-preserving differentially private training – Google

Privacy-Preserving Machine Learning 2018: A Year in Review

Differential privacy accounting by connecting the dots – Google

Universal structural patterns in sparse recurrent neural networks

Differentially private heatmaps – Google Research Blog

Differential Privacy in Federated Models, by Brooke Joseph

Sparsity (%), Classification Accuracy (%), and En- cryption Time

Differential privacy in deep learning: Privacy and beyond

Differentially private synthetic mixed-type data generation for

Making ML models differentially private: Best practices and open

How to keep text private? A systematic review of deep learning

Privacy-preserving Analytics and Data Mining at LinkedIn

1 Introduction

Local differentially private federated learning with homomorphic

Our Approach to PrivacyPreserving Task Assignment

Frontiers Sparse measures with swarm-based pliable hidden Markov