The School of Informatics, Computing, and Engineering (SICE) CS Colloquium Series
Speaker: Adam Smith, Arts and Sciences, Computer Science, Boston University
Where: Luddy Hall, Rm. 1106, (Dorsey Learning Hall)
When: Friday, March 23, 2018, 3:00 pm
Topic: Learning with Fully Distributed Private Protocols
Abstract: I’ll review some recent (and not so recent) results on learning in the “local” model of differential privacy, in which participants retain control of their private data and send only differential private outputs to a central, untrusted aggregator. The model has gained importance in the last few years, as several recent deployments of differentially private algorithms follow the “local” paradigm. I’ll focus, in particular, on the role of interaction in this model: how does restricting our attention to noninteractive protocols limit the class of learning tasks we can accomplish?
Biography: Adam Smith is a professor of computer science at Boston University. He obtained his Ph.D. from MIT in 2004, and was a faculty member at Penn State from 2007 to 2017. His research interests lie in data privacy and cryptography, and their connections to machine learning, statistics, information theory, and quantum computing. He received a Presidential Early Career Award for Scientists and Engineers (PECASE) in 2009; a Theory of Cryptography Test of Time award in 2016; and the 2017 Gödel Prize.