Adding Gaussian noise to gradient values of back propagation in order to make differntial privacy

Library for using the differential privacy for Gaussian processes framework

Concentrated Differentially Private Gradient Descent with Adaptive per-iteration Privacy Budget

An implementation of Priv'IT: Private and Sample Efficient Identity Testing

Effort-free differential privacy in python

Simulate a federated setting and run differentially private federated learning.