David Durfee
5 papers · 2018–2024 · 3 conferences · across top CS/AI conferences
Achievements
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🌍
Conference Polyglot
(3)
🏃
Academic Marathon
(6)
🌉
Interdisciplinary Bridge
🧭
Keyword Pioneer
🐝
Cross-Pollinator
(14)
Conferences
NIPS (3)
COLT (1)
ICML (1)
Top co-authors
Research topics
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
NIPS 2024
Unbounded Differentially Private Quantile and Maximum Estimation
NIPS 2023
Optimal Differential Privacy Composition for Exponential Mechanisms
ICML 2020
Practical Differentially Private Top-k Selection with Pay-what-you-get Composition
NIPS 2019
$\ell_1$ Regression using Lewis Weights Preconditioning and Stochastic Gradient Descent
COLT 2018