The ASA Privacy & Confidentiality Committee invites you to webinar on applying differential privacy methods to protect the identifiability of persons in data files. Differential privacy is a statistical framework for protecting privacy interests in statistical databases by focusing on the disclosure risk to an individual being included in a data set. In this webinar, two research experts explain this methodology and how they apply differential privacy methodology as a data protection method for protecting data files from the risk of re-identification.
Registration: This webinar is free, but registration is required:
https://www.amstat.org/ASA/Education/Web-Based-Lectures.aspx.
Corrected flyer is attached
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Jacob Bournazian
[chair]
[Privacy and Confidentiality Committee
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