October 30–31, 2016: Training
October 31–November 2, 2016: Tutorials & Conference
New York, NY
David Evans

David Evans
Professor of Computer Science, University of Virginia

Website | @UdacityDave | Attendee Directory Profile

David Evans is a professor of computer science at the University of Virginia and leader of the Security Research Group. His research focuses on privacy and security for computing systems and empowering individuals and organizations to control how their data is used and shared. He is the author of an open computer science textbook and a children’s book on combinatorics and computability and teacher of one of the world’s most popular MOOCs. He won the Outstanding Faculty Award from the State Council of Higher Education for Virginia, an all-university teaching award, and was program co-chair for the 31st and 32nd IEEE Symposia on Security and Privacy and will be program co-chair for ACM CCS 2017. He holds SB, SM, and PhD degrees in computer science from MIT.

Sessions

3:50pm–4:30pm Wednesday, 11/02/2016
Security in context (security datasci)
Location: Trianon Ballroom Level: Intermediate
David Evans (University of Virginia)
Average rating: ****.
(4.33, 3 ratings)
Machine-learning classifiers are widely used in security applications and often achieve outstanding performance in testing. When deployed, however, classifiers can often be thwarted by motivated adversaries. David Evans offers an overview of work investigating classifiers under attack and methods to automatically evaluate the robustness of a deployed classifier in the presence of adversaries. Read more.