Library for using the differential privacy for Gaussian processes framework

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

Effort-free differential privacy in python

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

Simulate a federated setting and run differentially private federated learning.

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