Differential Privacy in Two-Layer Networks: How DP-SGD Harms Fairness and Robustness

Ruichen Xu, Kexin Chen

Differentially private learning is essential for training models on sensitive data, but empirical studies consistently show that it can degrade performance, introduce fairness issu…