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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
An Axiomatic View of Statistical Privacy and Utility
Daniel Kifer, Bing-Rong Lin
Differential Privacy in Practice: Expose your Epsilons!
Cynthia Dwork, Nitin Kohli, Deirdre Mulligan
Heterogeneous Differential Privacy
Mohammad Alaggan, Sébastien Gambs, Anne-Marie Kermarrec
How Uncertainty about Privacy and Confidentiality is Hampering Efforts to More Effectively Use Administrative Records in Producing U.S. National Statistics
Gerald W. Gates
Gradual Release of Sensitive Data under Differential Privacy
Fragkiskos Koufogiannis, Shuo Han, George J. Pappas
Differentially Private Confidence Intervals for Empirical Risk Minimization
Yue Wang, Daniel Kifer, Jaewoo Lee
Towards a Systematic Analysis of Privacy Definitions
Bing-Rong Lin, Dan Kifer
BLENDER: Enabling Local Search with a Hybrid Differential Privacy Model
Brendan Avent, Aleksandra Korolova, David Zeber, Torgeir Hovden, Benjamin Livshits
Per-instance Differential Privacy
Yu-Xiang Wang
Accuracy First: Selecting a Differential Privacy Level for Accuracy-Constrained ERM
Steven Wu, Aaron Roth, Katrina Ligett, Bo Waggoner, Seth Neel
Statistical Déjà Vu: The National Data Center Proposal of 1965 and Its Descendants
Rebecca Kraus
Calibrating Noise to Sensitivity in Private Data Analysis
Cynthia Dwork, Frank McSherry, Kobbi Nissim, Adam Smith
17-51
Federal Statistical Confidentiality and Business Data: Twentieth Century Challenges and Continuing Issues
Margo J. Anderson, William Seltzer
Privacy via the Johnson-Lindenstrauss Transform
Krishnaram Kenthapadi, Aleksandra Korolova, Ilya Mironov, Nina Mishra
An Evaluation Framework for Privacy-Preserving Record Linkage
Dinusha Vatsalan, Peter Christen, Christine M. O'Keefe, Vassilios S. Verykios
A Practical Method to Reduce Privacy Loss When Disclosing Statistics Based on Small Samples
Raj Chetty, John N Friedman
Differential Privacy for Statistics: What we Know and What we Want to Learn
Cynthia Dwork, Adam Smith
Silent Listeners: The Evolution of Privacy and Disclosure on Facebook
Fred Stutzman, Ralph Gross, Alessandro Acquisti
Learning in a Large Function Space: Privacy-Preserving Mechanisms for SVM Learning
Benjamin I. P. Rubinstein, Peter L. Bartlett, Ling Huang, Nina Taft
Local Differential Privacy for Evolving Data
Matthew Joseph, Aaron Roth, Jonathan Ullman, Bo Waggoner
On the 'Semantics' of Differential Privacy: A Bayesian Formulation
Shiva P. Kasiviswanathan, Adam Smith
Differential Privacy on Finite Computers
Victor Balcer, Salil Vadhan
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