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Columbia University’s Data Science Institute Presents:
DATA SCIENCE DAY

Authors/Collaborators are listed in alphabetical order.



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Wednesday, April 6 • 2:00pm - 4:30pm
FindYou: A Personal Location Privacy Auditing Tool [D11]

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Smartphones and apps provide us with extremely useful location-based services. When we use these services, we let the service providers know where we are and when we're there. This data can be used to infer many useful but potentially sensitive attributes of users. This work lets users import data collected about them from a few popular location-based services. They can visualize this data, and additionally see some basic inferences we make about them based on this data. This can be used as a location privacy audit system, where users can realize what they're letting the world know and take appropriate actions. Eventually, we hope to turn it into a system where users can donate their data to help us learn about the relationship between the demographics and the places people visit.

Demo/Poster Presenter
avatar for Christopher Riederer

Christopher Riederer

PhD Candidate in Computer Science, Columbia Engineering
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Stephanie Huang

Undergraduate Student in Computer Science, Columbia Engineering

Demo/Poster Collaborator
avatar for Augustin Chaintreau

Augustin Chaintreau

Assistant Professor of Computer Science, Columbia Engineering
Augustin Chaintreau is an Assistant Professor of Computer Science at Columbia University. His research, by experience in industry, is centered on real world impact and emerging computing trends, while his training, in mathematics and theoretical computer science, is focused on guiding principles. He designed and proved the first reliable, scalable and network-fair multicast architecture while working at IBM during his Ph.D. He... Read More →
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Daniel Echikson

Undergraduate Student in History, Columbia College

Wednesday April 6, 2016 2:00pm - 4:30pm
Roone Arledge Auditorium Lerner Hall, Columbia University 2920 Broadway, New York, NY 10040

Attendees (4)