Presentations by the Labor Dynamics Institute
This collection contains presentations made by faculty, staff, members, and guests of the Labor Dynamics Institute.
(KDD '18 Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, London, UK, 2018-08)The U.S. Census Bureau announced, via its Scientific Advisory Committee, that it would protect the publications of the 2018 End-to-End Census Test (E2E) using differential privacy. The E2E test is a dress rehearsal for the ...
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 ...
(2017-06-07)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 ...
(2017-05-09)This is an excerpt from a prior presentation at the Society of Labor Economists (2016). The Synthetic Data Server (SDS) at Cornell University was set up to provide early access to new synthetic data products by the U.S. ...
(2017-05-09)We describe the confidentiality protection provided by the SynLBD. The presentation was originally prepared by Saki Kinney for the World Statistics Congress 2013.