|Date: Saturday, March 10, 2018
Location: B844 East Hall (10:10 AM to 10:40 AM)
Title: Recruitment Symposium: Introduction to Differential Privacy
Abstract: Sebastian is a belieber so, over the years, everyone in the department has told him (in confidence) whether or not they like the Beibs. The recruits for next year would like the fraction of the department who are beliebers made public to help aid their decision. Michael is against this statistic being released because he worries it might reveal something embarrassing about him. The field of differential privacy addresses the two main questions: are Michael's fears valid? and how can Sebastian release a useful version of this statistic and stay friends with Michael? In addition to ensuring that Michael's belieber status does not become public information, differential privacy places the notion of privacy in a rigorous mathematical framework and gives us a way to quantify privacy loss. In this talk, we will discuss the definition of differential privacy and a few key algorithms that achieve it.
Speaker: Audra McMillan