1. Deep Learning with Differential Privacy
2. Kareem Amin , Alex Kulesza , Andres Munoz , and Sergei Vassilvtiskii . 2019 . Bounding user contributions: A bias-variance trade-off in differential privacy . In International Conference on Machine Learning. PMLR, 263--271 . Kareem Amin, Alex Kulesza, Andres Munoz, and Sergei Vassilvtiskii. 2019. Bounding user contributions: A bias-variance trade-off in differential privacy. In International Conference on Machine Learning. PMLR, 263--271.
3. Myrto Arapinis Diego Figueira and Marco Gaboardi. 2016. Sensitivity of Counting Queries. In International Colloquium on Automata Languages and Programming (ICALP). Myrto Arapinis Diego Figueira and Marco Gaboardi. 2016. Sensitivity of Counting Queries. In International Colloquium on Automata Languages and Programming (ICALP).
4. Privacy, accuracy, and consistency too
5. Sourav Biswas , Yihe Dong , Gautam Kamath , and Jonathan Ullman . 2020 . CoinPress: Practical Private Mean and Covariance Estimation . Advances in Neural Information Processing Systems , Vol. 33 (2020). Sourav Biswas, Yihe Dong, Gautam Kamath, and Jonathan Ullman. 2020. CoinPress: Practical Private Mean and Covariance Estimation. Advances in Neural Information Processing Systems, Vol. 33 (2020).