December 18, 2014, 3:00pm
Abstract: We say that an item of your personal information is directly private if you have it but nobody else does, and it is inversely private if somebody has it but you do not. We analyze the provenance of inverse privacy and its ascent to dominance (by volume and value) over direct privacy, and we argue that — and how — inverse privacy can be reduced to more reasonable levels.
This is joint work with our Microsoft colleagues Efim Hudis and Jeannette Wing.
Draft paper on this topic: http://research.microsoft.com/
Bio: Yuri Gurevich is Principal Researcher at Microsoft Research in Redmond, WA. He is also Prof. Emeritus at the University of Michigan, ACM Fellow, Guggenheim Fellow, a member of Academia Europaea, and Dr. Honoris Causa of a Belgian and Russian universities.