David Durfee

5 papers · 2018–2024 · 3 venues · across top CS/AI venues

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Achievements

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🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Silver

Venues

NeurIPS (3) COLT (1) ICML (1)

Top co-authors

Kevin A. Lai (1) Jinshuo Dong (1) Ryan M Rogers (1) Ryan Rogers (1) Saurabh Sawlani (1)

Research topics

Machine Learning (5) Application Areas (4) Mathematics & Optimization (3) Optimization (2) Optimization & Theory (2) Artificial Intelligence (1) Security & Privacy (1) Core AI (1) Core Methods (1) Differential Privacy (1) Mathematics (1)

Keywords

differential privacy (4) exponential mechanism (2) quantile estimation (1) privacy loss (1) bias-variance tradeoff (1) privacy guarantee (1) top-k selection (1) sparse vector technique (1) least absolute deviation (1) query release (1) adaptive composition (1) privacy composition (1) restricted sensitivity (1) maximum estimation (1) clipping bound (1) l1 regression (1) lewis weight (1) inverse sensitivity mechanism (1) asymmetric sensitivity (1) stochastic gradient descent (1)

Papers

Instance-Specific Asymmetric Sensitivity in Differential Privacy NeurIPS 2024 Unbounded Differentially Private Quantile and Maximum Estimation NeurIPS 2023 Optimal Differential Privacy Composition for Exponential Mechanisms ICML 2020 Practical Differentially Private Top-k Selection with Pay-what-you-get Composition NeurIPS 2019 ℓ_1 Regression using Lewis Weights Preconditioning and Stochastic Gradient Descent COLT 2018