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Abstract Details
Activity Number:
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8
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Type:
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Invited
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Date/Time:
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Sunday, July 29, 2012 : 2:00 PM to 3:50 PM
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Sponsor:
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Section on Government Statistics
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Abstract - #303630 |
Title:
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Generating Synthetic Graphs Under Differential Privacy
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Author(s):
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Vishesh Karwa*+ and Aleksandra Slavkovic
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Companies:
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Penn State University and Penn State University
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Address:
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301 Thomas, State College, PA, 16801,
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Keywords:
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Privacy ;
Graphs ;
beta model
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Abstract:
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Access to realistic graph data is important for research, but at the same time, there are privacy concerns in releasing the actual graph as it may contain sensitive information. One solution is to release synthetic graphs which satisfy both privacy and utility requirements. In this work, we present algorithms to generate synthetic graphs under the beta model. These algorithms satisfy the rigorous definition of edge differential privacy. We illustrate the usefulness of our algorithms by evaluating the utility of using synthetic data in estimating the parameters of the beta model for social networks.
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