Title: Differentially Private Algorithms for Smooth Nonconvex ERM. Abstract: We develop simple differentially private optimization algorithms that move along directions of (expected) descent to find approximate second-order necessary solution for non-convex ERM problems. We use line search, mini-batching, and a two-phase strategy to improve the speed and practicality of the algorithm. Numerical experiments demonstrate the effectiveness of these approaches.