Deep Learning under Fractional-Order Differential Privacy

Mohammad Partohaghighi, Roummel Marcia

Differentially private stochastic gradient descent (DP-SGD) is a standard approach to privacy-preserving learning based on per-example clipping, subsampling, Gaussian perturbation,…