PhD Student
Gavin is a fifth-year PhD student at Boston University, advised by Adam Smith. His research is in the theory of data privacy and machine learning. He did his undergraduate work at Case Western Reserve University.
In 2020, he received a Teaching Fellow Excellence Award from the Computer Science Department.
Publications
Gavin Brown, Marco Gaboardi, Adam Smith, Jonathan Ullman, and Lydia Zakynthinou. “Covariance-Aware Private Mean Estimation Without Private Covariance Estimation.” NeurIPS 2021. Selected for Spotlight Presentation.
Gavin Brown, Mark Bun, Vitaly Feldman, Adam Smith, and Kunal Talwar. “When Is Memorization of Irrelevant Training Data Necessary for High-Accuracy Learning?” STOC 2021.