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Activity Number:
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365
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Type:
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Invited
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Date/Time:
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Wednesday, August 1, 2007 : 8:30 AM to 10:20 AM
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Sponsor:
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Committee on Privacy and Confidentiality
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| Abstract - #308044 |
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Title:
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Protecting Confidentiality in Public Use Data by Releasing Synthetic Datasets: Experiences with Genuine Applications
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Author(s):
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Jerome P. Reiter*+ and John Abowd*+ and Simon Woodcock*+ and Sam Hawala*+
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Companies:
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Duke University and Cornell University and Simon Fraser University and U.S. Census Bureau
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Address:
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Box 90251, Durham, NC, 27708, CISER, Ithaca, NY, 14850-2820, , , , 4700 Silver Hill Road, Washington, DC, 20233,
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Keywords:
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Abstract:
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Several statisticians in statistical agencies and academia are developing partially synthetic public use data. These comprise the original units in the sample with some values, such as key identifiers or sensitive attributes, replaced with multiple imputations. This panel comprises experts who have led efforts to create partially synthetic datasets for genuine, large surveys. The panel will discuss their experiences generating synthetic data, focusing on how to implement the approach in practice.
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- The address information is for the authors that have a + after their name.
- Authors who are presenting talks have a * after their name.
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