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By Author
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Differentially Private Confidence Intervals for Empirical Risk Minimization
Yue Wang, Daniel Kifer, Jaewoo Lee
Accuracy First: Selecting a Differential Privacy Level for Accuracy-Constrained ERM
Steven Wu, Aaron Roth, Katrina Ligett, Bo Waggoner, Seth Neel
A Practical Method to Reduce Privacy Loss When Disclosing Statistics Based on Small Samples
Raj Chetty, John N Friedman
Privacy Violations Using Microtargeted Ads: A Case Study
Aleksandra Korolova
Differentially Private Ordinary Least Squares
Or Sheffet
Achieving Both Valid and Secure Logistic Regression Analysis on Aggregated Data from Different Private Sources
Yuval Nardi, Stephen E. Fienberg, Robert J. Hall
Foreword for the Collection of Papers from the Workshop on the Analysis of Census Noisy Measurement Files and Differential Privacy
Jörg Drechsler, Ruobin Gong, Weijie Su, Linjun Zhang
Winning the NIST Contest: A scalable and general approach to differentially private synthetic data
Ryan McKenna, Gerome Miklau, Daniel Sheldon
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