Event Calendar

Oct
6
Tue
2015
Vilhuber @ UNECE 2015: Using partially synthetic micro data to protect sensitive cells in business statistics @ UNECE Statistical Data Confidentiality Work Session
Oct 6 all-day
Print Friendly, PDF & Email

“Using partially synthetic microdata to protect sensitive cells in business statistics,” Lars Vilhuber (NCRN, Cornell University), Javier Miranda (U.S. Census Bureau). This is an updated version of the presentation made at JSM 2015.
 

Oct
23
Fri
2015
Vilhuber @ CAED 2015: “Usage and outcomes of the Synthetic Data Server” @ Comparative Analysis of Enterprise Data (CAED) 2015 Conference
Oct 23 @ 08:30 – Oct 25 @ 14:15
Print Friendly, PDF & Email

“Usage and outcomes of the Synthetic Data Server,” Lars Vilhuber (NCRN, Cornell University) and John Abowd (NCRN, Cornell University) 

The Synthetic Data Server (SDS) at Cornell University was set up to provide early access to new synthetic data products by the U.S. Census Bureau. These datasets are made available to interested researchers in a controlled environment, prior to a more generalized release. Over the past 5 years, 4 synthetic datasets were made available on the server, and over 100 users have accessed the server over that time period. This paper reports on interim outcomes of the activity: results of validation requests from a user perspective, functioning of the feedback loop due to validation and user input, and the role of the SDS as a access gateway to and educational tool for other mechanisms of accessing detailed person, household, establishment, and firm statistics.

Tickets: http://caed2015.sabanciuniv.edu/registration-form.

Nov
30
Wed
2016
Lars Vilhuber: “Disclosure Limitation and Confidentiality Protection in Linked Data” @ Centre interuniversitaire de recherche en analyse des organisations
Nov 30 @ 08:30 – 14:00
Print Friendly, PDF & Email

Lars Vilhuber speaks about “Disclosure Limitation and Confidentiality Protection in Linked Data” at the Center for Interuniversity Research and Analysis of Organizations‘s conference on “Facilitate the access to Quebec data: How and to what ends?” The conference is jointly organized with the Quebec inter-University Centre for Social Statistics (QICSS). The presentation relies on joint work with John M. Abowd and Ian M. Schmutte.
[Presentation]

Lars Vilhuber: “Disclosure Limitation and Confidentiality Protection in Linked Data” @ Centre interuniversitaire de recherche en analyse des organisations
Nov 30 @ 08:30 – 14:00
Print Friendly, PDF & Email

Lars Vilhuber speaks about “Disclosure Limitation and Confidentiality Protection in Linked Data” at the Center for Interuniversity Research and Analysis of Organizations‘s conference on “Facilitate the access to Quebec data: How and to what ends?” The conference is jointly organized with the Quebec inter-University Centre for Social Statistics (QICSS). The presentation relies on joint work with John M. Abowd and Ian M. Schmutte.

[Presentation]

Feb
9
Thu
2017
Vilhuber presents “Confidentiality Protection and Physical Safeguards: A Review” @ U.S. Census Bureau
Feb 9 @ 10:30 – 12:00
Print Friendly, PDF & Email

“Confidentiality Protection and Physical Safeguards: A Review”

Lars Vilhuber, PhD
Abstract:
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 tension arises between the level of trust vis-à-vis the researcher, the statistical disclosure limitation applied to the data visible to the researcher; and the physical access mechanisms used by the researcher. This presentation will review systems used by national and private research organizations around the world, putting them into the relevant legal and societal context.

Jun
21
Wed
2017
Vilhuber presents at Workshop on Transparency and Reproducibility in Federal Statistics @ The National Academies of Science, Engineering, and Medicine
Jun 21 all-day
Print Friendly, PDF & Email

Vilhuber presents on “Making confidential data part of reproducible research.” Presentation file to come.