We say that an item of your personal information is “directly private” if you have it but nobody else does. It is “inversely private” if somebody has it, but you do not. We analyze the provenance of inverse privacy and argue that technology and appropriate public policy can reduce inverse privacy to a minimum.
This is joint work with our Microsoft colleagues Efim Hudis and Jeannette Wing.
Yuri Gurevich is a Principal Researcher at Microsoft Research in Redmond, WA. He is also a Professor Emeritus at the University of Michigan, an ACM Fellow, a Guggenheim Fellow, an EATCS Fellow, a foreign member of the Academia Europaea, and a Dr. Honoris Causa of Belgian and Russian universities.