Transcript Privacy Wizards for Social Networking Sites

Data Privacy Technology
@ UMich
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Kristen LeFevre, Assistant Professor CSE
Current Group Members:
Daniel Fabbri (Ph.D. student)
Lujun Fang (Ph.D. student)
Xunjia Lu (Undergraduate student)
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Motivation
• Mass digitization of personal data
– Web: E-mail, web searches, clickstreams, social
network profiles, user-generated content
– Healthcare: Electronic health records, clinical
trials, genome data
– Many more…
• Legal, ethical, and technical questions
surrounding data ownership, collection,
dissemination, and use
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Our Work
• Overarching Goal: Developing new
technologies to better control the collection,
dissemination, and use of sensitive data.
• Specific Projects:
– User-Centric Privacy Controls
– Data Use and Compliance Auditing
– Privacy-Preserving Data Publishing, Private Data
Analysis
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User-Centric Privacy Controls
(w/ Lujun Fang)
• Social media requires non-technical endusers to specify access control policies for
their data
– E.g., Facebook fine-grained privacy settings
• Hard for most people!
• Privacy “Wizard” Project applies data
mining and machine learning techniques to
recommend detailed privacy settings with
minimal user input
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Data Use Auditing, Compliance Reporting
(w/ Dan Fabbri, Xunjia Lu)
• Access control prevents unauthorized data access
– Policies may be incomplete or incorrect
– Policies may be deliberately loose
• E.g., Electronic Health Records
• Complementary tool: Maintain an audit log to
support a posteriori investigation
• Interesting Challenges:
– Misconfiguration response and breach reporting (Dan)
– Log monitoring, analysis, and proactive detection of data
breaches (Xunjia, Lujun)
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Thank you!
Questions?
E-Mail: [email protected]
Web: http://www.eecs.umich.edu/~klefevre
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