Durfee, David

6 publications

NeurIPS 2024 Instance-Specific Asymmetric Sensitivity in Differential Privacy David Durfee

NeurIPS 2023 Unbounded Differentially Private Quantile and Maximum Estimation David Durfee

NeurIPSW 2022 Improved Deep Neural Network Generalization Using M-Sharpness-Aware Minimization Kayhan Behdin, Qingquan Song, Aman Gupta, David Durfee, Ayan Acharya, Sathiya Keerthi, Rahul Mazumder

ICML 2020 Optimal Differential Privacy Composition for Exponential Mechanisms Jinshuo Dong, David Durfee, Ryan Rogers

NeurIPS 2019 Practical Differentially Private Top-K Selection with Pay-What-You-Get Composition David Durfee, Ryan M Rogers

COLT 2018 $\ell_1$ Regression Using Lewis Weights Preconditioning and Stochastic Gradient Descent David Durfee, Kevin A. Lai, Saurabh Sawlani