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Commercial Data Privacy and Innovation in the Internet Economy: A Dynamic Policy Framework

An Intuitive Formulation and Solution of the Exact Cell-Bounding Problem for Contingency Tables of Conditional Frequencies

Consumer Data Privacy in a Networked World: A Framework for Protecting Privacy and Promoting Innovation in the Global Digital Economy

Differential Privacy in Practice: Expose your Epsilons!

How Uncertainty about Privacy and Confidentiality is Hampering Efforts to More Effectively Use Administrative Records in Producing U.S. National Statistics

Statistical Déjà Vu: The National Data Center Proposal of 1965 and Its Descendants

Towards a Systematic Analysis of Privacy Definitions

Federal Statistical Confidentiality and Business Data: Twentieth Century Challenges and Continuing Issues

An Evaluation Framework for Privacy-Preserving Record Linkage

Statistical Disclosure Limitation: New Directions and Challenges

Silent Listeners: The Evolution of Privacy and Disclosure on Facebook

Thinking About Privacy: Chapter 1 of "Engaging Privacy and Information Technology in a Digital Age"

A Practical Method to Reduce Privacy Loss When Disclosing Statistics Based on Small Samples

Maintaining Analytic Utility while Protecting Confidentiality of Survey and Nonsurvey Data

Intruder Testing on the 2011 UK Census: Providing Practical Evidence for Disclosure Protection

Calibrating Noise to Sensitivity in Private Data Analysis

17-51

Top-Coding and Public Use Microdata Samples from the U.S. Census Bureau

How Will Statistical Agencies Operate When All Data Are Private?

Privacy Protection from Sampling and Perturbation in Survey Microdata

Differential Privacy for Statistics: What we Know and What we Want to Learn

The Science and Technology of Privacy Protection: Appendix L of "Protecting Individual Privacy in the Struggle Against Terrorists"

Rejoinder

Differential Privacy for Protecting Multi-dimensional Contingency Table Data: Extensions and Applications

Why It Matters to Distinguish Between Privacy and Confidentiality

Noise Multiplication for Statistical Disclosure Control of Extreme Values in Log-normal Regression Samples