JavaScript is disabled for your browser. Some features of this site may not work without it.
Sloan Foundation: The Economics of Socially-Efficient Privacy and Confidentiality Management for Statistical Agencies
Browse by
Recent Submissions
-
Final and Cumulative Annual Report for Alfred P. Sloan Foundation Grant G-2015-13903 “The Economics of Socially-Efficient Privacy and Confidentiality Management for Statistical Agencies”
(2019-05)Goal: To study the economics of socially efficient protocols for managing research databases containing private information. Metrics 1. At least four peer-reviewed articles that are published in journals read by ... -
What Is a Privacy-Loss Budget and How Is It Used to Design Privacy Protection for a Confidential Database?
(2018-02-01)Webinar for Privacy Day 2018, Sponsored by the ASA Committee on Privacy and Confidentiality. For statistical agencies, the Big Bang event in disclosure avoidance occurred in 2003 when Irit Dinur and Kobbi Nissim, two ... -
Revisiting the Economics of Privacy: Population Statistics and Confidentiality Protection as Public Goods
(2017-04-17)We consider the problem of the public release of statistical information about a population–explicitly accounting for the public-good properties of both data accuracy and privacy loss. We first consider the implications ... -
Making Confidential Data Part of Reproducible Research
(2017-08-21) -
Proceedings from the 2017 Cornell-Census- NSF- Sloan Workshop on Practical Privacy
(2017-09-20)These proceedings report on a workshop hosted at the U.S. Census Bureau on May 8, 2017. Our purpose was to gather experts from various backgrounds together to continue discussing the development of formal privacy systems ... -
Proceedings from the Synthetic LBD International Seminar
(2017-09-22)On May 9, 2017, we hosted a seminar to discuss the conditions necessary to implement the SynLBD approach with interested parties, with the goal of providing a straightforward toolkit to implement the same procedure on other ... -
Utility Cost of Formal Privacy for Releasing National Employer-Employee Statistics
(2017-05-14)National statistical agencies around the world publish tabular summaries based on combined employeremployee (ER-EE) data. The privacy of both individuals and business establishments that feature in these data are protected ... -
Confidentiality Protection and Physical Safeguards
(2017-02-09)Confidentiality protection is a multi-layered concept, involving statistical (cryptographic) methods and physical safeguards. When providing access to researchers (both internal to the agency and external academic), a ... -
Proceedings from the 2016 NSF–Sloan Workshop on Practical Privacy
(2017-01-22)On October 14, 2016, we hosted a workshop that brought together economists, survey statisticians, and computer scientists with expertise in the field of privacy preserving methods: Census Bureau staff working on implementing ... -
How Will Statistical Agencies Operate When All Data Are Private?
(Journal of Privacy and Confidentiality, 2016-09-06)The dual problems of respecting citizen privacy and protecting the confidentiality of their data have become hopelessly conflated in the “Big Data” era. There are orders of magnitude more data outside an agency’s firewall ...
RSS 1.0