2

Individual Privacy Accounting for Differentially Private Stochastic Gradient Descent

Private GANs, Revisited

Indiscriminate Data Poisoning Attacks on Neural Networks

The Discrete Gaussian for Differential Privacy

Robustness Meets Algorithms

Private Hypothesis Selection

INSPECTRE: Privately Estimating the Unseen

Testing Ising Models

Robust Estimators in High-Dimensions Without the Computational Intractability

A Chasm Between Identity and Equivalence Testing with Conditional Queries