DPNAS: Neural Architecture Search for Deep Learning with Differential Privacy

Anda Cheng, Jiaxing Wang, Xi Sheryl Zhang +3

Training deep neural networks (DNNs) for meaningful differential privacy (DP) guarantees severely degrades model utility. In this paper, we demonstrate that the architecture of DNN…