Conference Digests
- NeurIPS 2023 Outstanding Paper: Privacy auditing in just one run
- Covariance-Aware Private Mean Estimation, Efficiently
- Conference Digest - NeurIPS 2021
- Conference Digest - ICML 2021
- ALT Highlights - An Equivalence between Private Learning and Online Learning (ALT '21 Tutorial)
- Conference Digest - TPDP 2020
- Conference Digest - NeurIPS 2020
- Conference Digest - ICML 2020
- Conference Digest - COLT 2020
- Conference Digest - STOC 2020
Surveys
- Composition Basics
- Privacy Doona: Why We Should Hide Among The Clones
- Differentially private deep learning can be effective with self-supervised models
- A simple recipe for private synthetic data generation
- What is Synthetic Data?
- How to deploy machine learning with differential privacy?
- Reconstruction Attacks in Practice
- The Theory of Reconstruction Attacks
- Differentially Private PAC Learning