Differentially Private JOIN Queries over Distributed DatabasesDifferentially Private JOIN Queries over Distributed Databaseshttp://www.haverford.edu/calendar/details/235331Villanova University2013-03-25T16:00:002013-03-25T17:30:00
March 25, 4:00PM–5:30PM
Arjun Narayan, University of Pennsylvania, held at Villanova University
In this talk, I discuss the problem of answering queries about private data that is spread across multiple different databases. For instance, a medical researcher may want to study a possible correlation between travel patterns and certain types of illnesses. The necessary information exists today – e.g., in airline reservation systems and hospital records – but it is maintained by two separate companies who are prevented by law from sharing this information with each other, or with a third party.
I will introduce Differential Privacy, a theoretical framework for reasoning about the privacy guarantees we want to achieve, and present an algorithm and system for answering such queries in a distributed, differentially private setting.
About the speaker
Arjun Narayan is a 3rd year PhD Student. His research focuses on privacy in distributed systems. He is advised by Andreas Haeberlen at the University of Pennsylvania. Previously, he received a B.A. in Computer Science and Economics in 2010 from Williams College.
Date: Monday, March 25, 2013
Time: 4:30 p.m.
Location: Mendel Science Center 115, Villanova University
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John P Dougherty
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