David Durfee

40 papers A* 13B 1C 2Journal 22Unranked 1
YearRankTypeTitle / Venue / Authors
2025 C conf
Sub-Centimeter Probes for Low-Frequency Alternating Electric Field (AEF) Measurements in Rodent Models of Brain Cancer.
BSN
Marinus H. Daling, David Durfee, Turner Shelton, Samuel Simonian, Keith Schubert, Sabbir Khan, Chirag B. Patel, Vincent W. Leung
2025 J jnl
Unifying Laplace Mechanism with Instance Optimality in Differential Privacy.
CoRR
David Durfee
2024 C conf
Analysis of Wireless Power Transfer Efficiency and Specific Absorption Rate for a Distributed Brain Implant System.
BSN
Julian Alonzo, Marinus H. Daling, Jihun Lee, Ah-Hyoung Lee, David Durfee, Peter M. Asbeck, Lawrence E. Larson, Arto V. Nurmikko, Vincent W. Leung
2024 A* conf
Instance-Specific Asymmetric Sensitivity in Differential Privacy.
NeurIPS
David Durfee
2023 — conf
Improving Wireless Power Transfer Efficiency for Distributed Brain Implants using Auto-Tune OVP.
BioCAS
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, Arto V. Nurmikko
2023 J jnl
Instance-Specific Asymmetric Sensitivity in Differential Privacy.
CoRR
David Durfee
2023 A* conf
Unbounded Differentially Private Quantile and Maximum Estimation.
NeurIPS
David Durfee
2023 J jnl
Unbounded Differentially Private Quantile and Maximum Estimation.
CoRR
David Durfee
2023 J jnl
mSAM: Micro-Batch-Averaged Sharpness-Aware Minimization.
CoRR
Kayhan Behdin, Qingquan Song, Aman Gupta, Ayan Acharya, David Durfee, Borja Ocejo, S. Sathiya Keerthi, Rahul Mazumder
2022 J jnl
Heterogeneous Calibration: A post-hoc model-agnostic framework for improved generalization.
CoRR
David Durfee, Aman Gupta, Kinjal Basu
2022 J jnl
Improved Deep Neural Network Generalization Using m-Sharpness-Aware Minimization.
CoRR
Kayhan Behdin, Qingquan Song, Aman Gupta, David Durfee, Ayan Acharya, S. Sathiya Keerthi, Rahul Mazumder
2021 J jnl
LinkedIn's Audience Engagements API: A Privacy Preserving Data Analytics System at Scale.
J. Priv. Confidentiality
Ryan Rogers, Subbu Subramaniam, Sean Peng, David Durfee, Seunghyun Lee, Santosh Kumar Kancha, Shraddha Sahay, Parvez Ahammad
2020 — —
Algorithmic Manipulation of Probability Distributions for Networks and Mechanisms.
David Durfee
2020 J jnl
Determinant-Preserving Sparsification of SDDM Matrices.
SIAM J. Comput.
David Durfee, John Peebles, Richard Peng, Anup B. Rao
2020 A* conf
Individual Sensitivity Preprocessing for Data Privacy.
SODA
Rachel Cummings, David Durfee
2020 J jnl
LinkedIn's Audience Engagements API: A Privacy Preserving Data Analytics System at Scale.
CoRR
Ryan Rogers, Subbu Subramaniam, Sean Peng, David Durfee, Seunghyun Lee, Santosh Kumar Kancha, Shraddha Sahay, Parvez Ahammad
2020 A* conf
Optimal Differential Privacy Composition for Exponential Mechanisms.
ICML
Jinshuo Dong, David Durfee, Ryan Rogers
2020 A* conf
Parallel Batch-Dynamic Graphs: Algorithms and Lower Bounds.
SODA
Laxman Dhulipala, David Durfee, Janardhan Kulkarni, Richard Peng, Saurabh Sawlani, Xiaorui Sun
2019 B conf
Efficient Second-Order Shape-Constrained Function Fitting.
WADS
David Durfee, Yu Gao, Anup B. Rao, Sebastian Wild
2019 J jnl
Efficient Second-Order Shape-Constrained Function Fitting.
CoRR
David Durfee, Yu Gao, Anup B. Rao, Sebastian Wild
2019 J jnl
Fully Dynamic Spectral Vertex Sparsifiers and Applications.
CoRR
David Durfee, Yu Gao, Gramoz Goranci, Richard Peng
2019 A* conf
Fully dynamic spectral vertex sparsifiers and applications.
STOC
David Durfee, Yu Gao, Gramoz Goranci, Richard Peng
2019 J jnl
Optimal Differential Privacy Composition for Exponential Mechanisms and the Cost of Adaptivity.
CoRR
Jinshuo Dong, David Durfee, Ryan Rogers
2019 J jnl
Parallel Batch-Dynamic Graphs: Algorithms and Lower Bounds.
CoRR
David Durfee, Laxman Dhulipala, Janardhan Kulkarni, Richard Peng, Saurabh Sawlani, Xiaorui Sun
2019 A* conf
Practical Differentially Private Top-k Selection with Pay-what-you-get Composition.
NeurIPS
David Durfee, Ryan M. Rogers
2019 J jnl
Practical Differentially Private Top-k Selection with Pay-what-you-get Composition.
CoRR
David Durfee, Ryan Rogers
2018 A* conf
$\ell_1$ Regression using Lewis Weights Preconditioning and Stochastic Gradient Descent.
COLT
David Durfee, Kevin A. Lai, Saurabh Sawlani
2018 J jnl
Fully Dynamic Effective Resistances.
CoRR
David Durfee, Yu Gao, Gramoz Goranci, Richard Peng
2018 J jnl
Individual Sensitivity Preprocessing for Data Privacy.
CoRR
Rachel Cummings, David Durfee
2018 A* conf
Nearly Tight Bounds for Sandpile Transience on the Grid.
SODA
David Durfee, Matthew Fahrbach, Yu Gao, Tao Xiao
2017 J jnl
$\ell_1$ Regression using Lewis Weights Preconditioning.
CoRR
David Durfee, Kevin A. Lai, Saurabh Sawlani
2017 A* conf
Determinant-Preserving Sparsification of SDDM Matrices with Applications to Counting and Sampling Spanning Trees.
FOCS
David Durfee, John Peebles, Richard Peng, Anup B. Rao
2017 J jnl
Determinant-Preserving Sparsification of SDDM Matrices with Applications to Counting and Sampling Spanning Trees.
CoRR
David Durfee, John Peebles, Richard Peng, Anup B. Rao
2017 A* conf
Sampling random spanning trees faster than matrix multiplication.
STOC
David Durfee, Rasmus Kyng, John Peebles, Anup B. Rao, Sushant Sachdeva
2017 J jnl
Tight Bounds for Sandpile Transience on the Two-Dimensional Grid up to Polylogarithmic Factors.
CoRR
David Durfee, Matthew Fahrbach, Yu Gao, Tao Xiao
2016 A* conf
On Fully Dynamic Graph Sparsifiers.
FOCS
Ittai Abraham, David Durfee, Ioannis Koutis, Sebastian Krinninger, Richard Peng
2016 J jnl
On Fully Dynamic Graph Sparsifiers.
CoRR
Ittai Abraham, David Durfee, Ioannis Koutis, Sebastian Krinninger, Richard Peng
2016 J jnl
Sampling Random Spanning Trees Faster than Matrix Multiplication.
CoRR
David Durfee, Rasmus Kyng, John Peebles, Anup B. Rao, Sushant Sachdeva
2015 A* conf
On the Complexity of Nash Equilibria in Anonymous Games.
STOC
Xi Chen, David Durfee, Anthi Orfanou
2014 J jnl
On the Complexity of Nash Equilibria in Anonymous Games.
CoRR
Xi Chen, David Durfee, Anthi Orfanou