The short course will introduce basic and advanced concepts of statistical disclosure control, privacy and confidentiality. The topics covered include: introduction to statistical disclosure control, disclosure risk scenarios and types of disclosure risks; measuring disclosure risk for traditional outputs: microdata and tabular data; common statistical disclosure control methods and their impact on data quality and utility. In addition, we introduce a new definition for confidentiality protection called differential privacy which was developed by computer scientists. Differential privacy is a mathematical rigorous definition of a perturbation mechanism that provides formal and quantifiable guarantees of confidentiality. We discuss how differential privacy can be used in the statistical disclosure control tool-kit at statistical agencies as they move towards more advanced, open and flexible modes of data dissemination.
June 10, 2021 - June 11, 2021
Virtual, Online
Not Sponsored
- About
- News
- Membership
- Publications
- IMS Journals and Publications
- IMS Co-Sponsored Journals and Publications
- IMS Supported Journals
- IMS Affiliated Journals
- Electronic Access
- Journal Alerts
- Subscriptions and Orders
- Back Issues
- Article Reprints
- Acceptance of Papers
- Awards
- Memorials
- Meetings
- Resources
- Leadership
- Contacts
Cart