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By Author
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Commercial Data Privacy and Innovation in the Internet Economy: A Dynamic Policy Framework
Department of Commerce Internet Policy Task Force
Protecting Consumer Privacy in an Era of Rapid Change–A Proposed Framework for Businesses and Policymakers
FTC Staff
Consumer Data Privacy in a Networked World: A Framework for Protecting Privacy and Promoting Innovation in the Global Digital Economy
A. Anonymous
Statistical Déjà Vu: The National Data Center Proposal of 1965 and Its Descendants
Rebecca Kraus
An Axiomatic View of Statistical Privacy and Utility
Daniel Kifer, Bing-Rong Lin
Gradual Release of Sensitive Data under Differential Privacy
Fragkiskos Koufogiannis, Shuo Han, George J. Pappas
Partial Information Releases for Confidential Contingency Table Entries: Present and Future Research Efforts
Aleksandra B. Slavkovic
Towards a Systematic Analysis of Privacy Definitions
Bing-Rong Lin, Dan Kifer
Per-instance Differential Privacy
Yu-Xiang Wang
Differentially Private Confidence Intervals for Empirical Risk Minimization
Yue Wang, Daniel Kifer, Jaewoo Lee
Heterogeneous Differential Privacy
Mohammad Alaggan, Sébastien Gambs, Anne-Marie Kermarrec
BLENDER: Enabling Local Search with a Hybrid Differential Privacy Model
Brendan Avent, Aleksandra Korolova, David Zeber, Torgeir Hovden, Benjamin Livshits
Improving User Choice Through Better Mobile Apps Transparency and Permissions Analysis
Ilaria Liccardi, Joseph Pato, Daniel J. Weitzner
Silent Listeners: The Evolution of Privacy and Disclosure on Facebook
Fred Stutzman, Ralph Gross, Alessandro Acquisti
Calibrating Noise to Sensitivity in Private Data Analysis
Cynthia Dwork, Frank McSherry, Kobbi Nissim, Adam Smith
17-51
A Privacy Preserving Algorithm to Release Sparse High-dimensional Histograms
Bai Li, Vishesh Karwa, Aleksandra Slavković, Rebecca Carter Steorts
The Science and Technology of Privacy Protection: Appendix L of "Protecting Individual Privacy in the Struggle Against Terrorists"
William J. Perry, Charles M. Vest
Accuracy First: Selecting a Differential Privacy Level for Accuracy-Constrained ERM
Steven Wu, Aaron Roth, Katrina Ligett, Bo Waggoner, Seth Neel
Differential Privacy for Statistics: What we Know and What we Want to Learn
Cynthia Dwork, Adam Smith
Dual Query: Practical Private Query Release for High Dimensional Data
Marco Gaboardi, Emilio Jesús Gallego Arias, Justin Hsu, Aaron Roth, Zhiwei Steven Wu
On Privacy and Public Data: a Study of data.gov.uk
Andrew C. Simpson
Top-Coding and Public Use Microdata Samples from the U.S. Census Bureau
Nicole Crimi, William Eddy
Commentary: Future U.S. National Statistics Use of Administrative Data
George Duncan
Learning in a Large Function Space: Privacy-Preserving Mechanisms for SVM Learning
Benjamin I. P. Rubinstein, Peter L. Bartlett, Ling Huang, Nina Taft
Differential Privacy Applications to Bayesian and Linear Mixed Model Estimation
John M. Abowd, Matthew J. Schneider, Lars Vilhuber
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