Research
My research focuses on the secure management of large-scale data. This includes: evaluating threats to privacy in published data; devising anonymization schemes for the safe publication of social networks, network traces, and audit logs; designing database management systems to implement security policies; and theoretically analyzing information disclosure. My current research efforts are primarily focused on the following two projects:
Private Dissemination and Analysis of Data
The goal of this work is to understand how accurately aggregate properties about a data set can be studied while preserving the privacy of individual participants. Our recent work focuses on complex graph-structured data and trace data. Please see the following project pages for details, publications, and code releases:
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Safe Dissemination of Social Networks and other graph data
- Safe Dissemination of Communication Traces
Privacy, Provenance, and Data Retention
The goal of this work is to achieve the benefits of preserving history -- accountability through the ability to audit the past -- while avoiding threats to privacy posed by preserved data. Our work has included investigations of database forensics and models for the protection of audit histories. Please see the following project page for details and publications:
Talks
- Analyzing Private Network Data Using Output Perturbation
First Workshop on Social Network Security
Stanford University, Sep 2009. - Securely Managing History in Database Systems
Provenance in Secure and Advanced Computer Systems Workshop
University of Edinburgh, May 2009 - Protecting Anonymity in Published Networks
Computer Science Department Colloquium
Harvard University, Sep 2008 - Managing Historical Retention in Database Systems
New England Database Day
MIT, Feb 2008. - Protecting Anonymity in Published Social Networks
Database Seminar
University of Pennsylvania, Dec 2007 - Privacy and the Public Use of Social Network Data
Computer Science Department Colloquium
Williams College, Sep 2007 - Confidentiality of Exchanged Data
Plenary Award Session
SIGMOD Conference, Jun 2006
Awards
- NSF CAREER Award, 2007
- ACM SIGMOD Dissertation Award, 2006
- William Chan Memorial Dissertation Award
University of Washington, 2005
