Deep Learning with Data Privacy via Residual Perturbation

Wenqi Tao, Huaming Ling, Zuoqiang Shi +1

Protecting data privacy in deep learning (DL) is of crucial importance. Several celebrated privacy notions have been established and used for privacy-preserving DL. However, many e…