Funder
Google and Microsoft Research Fellowships as part of the Simons-Berkeley Research Fellowship Program
Google Faculty Research Award
J.P. Morgan Faculty Award
Facebook Research Award
Microsoft Research, Redmond, and the Simons Institute for the Theory of Computing at UC Berkeley
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Library and Information Sciences,Computer Science Applications,Information Systems
Cited by
8 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Optimal Obfuscation to Protect Client Privacy in Federated Learning;2024 58th Annual Conference on Information Sciences and Systems (CISS);2024-03-13
2. Continual Mean Estimation Under User-Level Privacy;IEEE Journal on Selected Areas in Information Theory;2024
3. Robustness Implies Privacy in Statistical Estimation;Proceedings of the 55th Annual ACM Symposium on Theory of Computing;2023-06-02
4. Privately Estimating a Gaussian: Efficient, Robust, and Optimal;Proceedings of the 55th Annual ACM Symposium on Theory of Computing;2023-06-02
5. On robustness and local differential privacy;The Annals of Statistics;2023-04-01