On the Complexity of Nash Equilibria in Anonymous Games. - Xi Chen 001; David Durfee; Anthi Orfanou (STOC, 2015)

On Fully Dynamic Graph Sparsifiers. - Ittai Abraham; David Durfee; Ioannis Koutis; Sebastian Krinninger; Richard Peng (FOCS, 2016)

Determinant-Preserving Sparsification of SDDM Matrices with Applications to Counting and Sampling Spanning Trees. - David Durfee; John Peebles; Richard Peng; Anup B. Rao (FOCS, 2017)

Sampling random spanning trees faster than matrix multiplication. - David Durfee; Rasmus Kyng; John Peebles; Anup B. Rao; Sushant Sachdeva (STOC, 2017)

Tight Bounds for Sandpile Transience on the Two-Dimensional Grid up to Polylogarithmic Factors. - David Durfee; Matthew Fahrbach; Yu Gao 001; Tao Xiao (CoRR, 2017)

$ ell_1$ Regression using Lewis Weights Preconditioning. - David Durfee; Kevin A. Lai; Saurabh Sawlani (CoRR, 2017)

$ ell_1$ Regression using Lewis Weights Preconditioning and Stochastic Gradient Descent. - David Durfee; Kevin A. Lai; Saurabh Sawlani (COLT, 2018)

Nearly Tight Bounds for Sandpile Transience on the Grid. - David Durfee; Matthew Fahrbach; Yu Gao 001; Tao Xiao (SODA, 2018)

Fully Dynamic Effective Resistances. - David Durfee; Yu Gao 001; Gramoz Goranci; Richard Peng (CoRR, 2018)

Practical Differentially Private Top-k Selection with Pay-what-you-get Composition. - David Durfee; Ryan M. Rogers (NeurIPS, 2019)

Fully dynamic spectral vertex sparsifiers and applications. - David Durfee; Yu Gao 001; Gramoz Goranci; Richard Peng (STOC, 2019)

Efficient Second-Order Shape-Constrained Function Fitting. - David Durfee; Yu Gao 001; Anup B. Rao; Sebastian Wild (WADS, 2019)

Optimal Differential Privacy Composition for Exponential Mechanisms and the Cost of Adaptivity. - Jinshuo Dong; David Durfee; Ryan Rogers 002 (CoRR, 2019)

Optimal Differential Privacy Composition for Exponential Mechanisms. - Jinshuo Dong; David Durfee; Ryan Rogers 002 (ICML, 2020)

Individual Sensitivity Preprocessing for Data Privacy. - Rachel Cummings; David Durfee (SODA, 2020)

Parallel Batch-Dynamic Graphs: Algorithms and Lower Bounds. - Laxman Dhulipala; David Durfee; Janardhan Kulkarni; Richard Peng; Saurabh Sawlani; Xiaorui Sun (SODA, 2020)

Determinant-Preserving Sparsification of SDDM Matrices. - David Durfee; John Peebles; Richard Peng; Anup B. Rao (SIAM J. Comput., 2020)

Algorithmic Manipulation of Probability Distributions for Networks and Mechanisms. - David Durfee (2020)

LinkedIn's Audience Engagements API: A Privacy Preserving Data Analytics System at Scale. - Ryan Rogers 002; Subbu Subramaniam; Sean Peng; David Durfee; Seunghyun Lee; Santosh Kumar Kancha; Shraddha Sahay; Parvez Ahammad (J. Priv. Confidentiality, 2021)

Heterogeneous Calibration: A post-hoc model-agnostic framework for improved generalization. - David Durfee; Aman Gupta; Kinjal Basu 001 (CoRR, 2022)

Improved Deep Neural Network Generalization Using m-Sharpness-Aware Minimization. - Kayhan Behdin; Qingquan Song; Aman Gupta; David Durfee; Ayan Acharya; S. Sathiya Keerthi; Rahul Mazumder (CoRR, 2022)

Improving Wireless Power Transfer Efficiency for Distributed Brain Implants using Auto-Tune OVP. - Vincent W. Leung; Ah-Hyoung Lee; Jihun Lee; Sravya Alluri; Julian Alonzo; Luke Mello; Brett Beyer; David Durfee; Wing-Fat Andy Lau; Peter M. Asbeck; Lawrence E. Larson; Farah Laiwalla; et al. (BioCAS, 2023)

Unbounded Differentially Private Quantile and Maximum Estimation. - David Durfee (NeurIPS, 2023)

mSAM: Micro-Batch-Averaged Sharpness-Aware Minimization. - Kayhan Behdin; Qingquan Song; Aman Gupta; Ayan Acharya; David Durfee; Borja Ocejo; S. Sathiya Keerthi; Rahul Mazumder (CoRR, 2023)

Analysis of Wireless Power Transfer Efficiency and Specific Absorption Rate for a Distributed Brain Implant System. - Julian Alonzo; Marinus H. Daling; Jihun Lee; Ah-Hyoung Lee; David Durfee; Peter M. Asbeck; Lawrence E. Larson; Arto V. Nurmikko; Vincent W. Leung (BSN, 2024)

Instance-Specific Asymmetric Sensitivity in Differential Privacy. - David Durfee (NeurIPS, 2024)

Unifying Laplace Mechanism with Instance Optimality in Differential Privacy. - David Durfee (CoRR, 2025)