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Abstract Details

Activity Number: 8
Type: Invited
Date/Time: Sunday, July 29, 2012 : 2:00 PM to 3:50 PM
Sponsor: Section on Government Statistics
Abstract - #303630
Title: Generating Synthetic Graphs Under Differential Privacy
Author(s): Vishesh Karwa*+ and Aleksandra Slavkovic
Companies: Penn State University and Penn State University
Address: 301 Thomas, State College, PA, 16801,
Keywords: Privacy ; Graphs ; beta model
Abstract:

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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