Directional Privacy for Deep Learning

Pedro Faustini, Natasha Fernandes, Shakila Tonni +2

Differentially Private Stochastic Gradient Descent (DP-SGD) is a key method for applying privacy in the training of deep learning models. It applies isotropic Gaussian noise to gra…