A Differentially Private Framework for Deep Learning with Convexified Loss Functions

Zhigang Lu, Hassan Jameel Asghar, Mohamed Ali Kaafar +2

Differential privacy (DP) has been applied in deep learning for preserving privacy of the underlying training sets. Existing DP practice falls into three categories - objective per…