Privacy-Loss Budget; How Is It used to Design Privacy: Webinar

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Date/Time
Date(s) - 01/30/2018
12:00 pm

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Join the ASA Committee on Privacy and Confidentiality for their webinar on Privacy Budget loss which will be lead by Dr Abowd leader of a directorate of research centers at the Census Bureau, each devoted to domains of investigation important to the future of social and economic statistics.

Why are we still talking about this theorem fifteen years later? What is required to modernize our disclosure limitation systems? The answer is recognizing that the database reconstruction theorem identified a real constraint on agency publication systems—there is only a finite amount of information in any confidential database. We can’t repeal that constraint. But it doesn’t help with the public-good mission of statistical agencies to publish data that are suitable for their intended uses. The hard work is incorporating the required privacy-loss budget constraint into the decision-making processes of statistical agencies. This means balancing the interests of data accuracy and privacy loss. A leading example of this process is the need for accurate redistricting data, to enforce the Voting Rights Act, and the protection of sensitive racial and ethnic information in the detailed data required for this activity. Wrestling with this tradeoff stares-down the database reconstruction theorem, and uses the formal privacy results that it inspired to specify the technologies. Specifying the decision framework for selecting a point on that technology has proven much more challenging.

This webinar is free to anyone who would like to attend. However, registration is limited so you must register to receive the access information. The access information will be emailed to everyone who has registered the afternoon of Tuesday, January 30.

The registration deadline is Tuesday, January 30, at 12:00 p.m. Eastern time. To register click HERE.

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