Improving the gaussian mechanism for differential privacy: Analytical calibration and optimal denoising (2018)
Deep learning with differential privacy (2016)
Private empirical risk minimization: Efficient algorithms and tight error bounds (2014)
Private stochastic convex optimization with optimal rates (2019)
Differentially private inference via noisy optimization (2023)
Data-copying in generative models: a formal framework (2023)