Featuring Ben Zhao, the Neubauer Professor of Computer Science

Can’t be there in person? Check out the livestream on Facebook.

Today’s technology companies are rushing to adopt and deploy systems that make use of machine learning, and in particular deep learning (artificial neural networks). Prototypes are in development for everything from facial recognition security systems for buildings to traffic sign recognition systems for autonomous vehicles. But is the technology ready? In this lecture, Ben Zhao will present recent work from his lab on fundamental weaknesses in deep learning systems that make them easy to compromise, as well as some proposed defenses.

Questions?
Contact alumniassociation@uchicago.edu or 773.702.2150.

Event Details

6:30 p.m. Registration and networking
7:00 p.m. Presentation and discussion
8:00 p.m. Reception

$20/person
$10/Maroon Loyalty Society member or recent graduate (College alumni of the past 10 years and graduate alumni of the past five years)
Free for current academic year graduates and current students
Two complimentary registrations for members of the Chicago, Harper, Odyssey, and Phoenix philanthropic societies

Learn more about UChicago giving societies.

Parking Information

Valet parking is available for $32.

Featured Faculty

 

Ben Zhao is the Neubauer Professor of Computer Science at the University of Chicago. He is an Association for Computing Machinery Distinguished Scientist; a recipient of the National Science Foundation CAREER award, a Google Faculty Research Award, the Institute of Electrical and Electronics Engineers Early Career Award, and MIT Technology Review’s TR35 Award for innovators under 35; and he was recognized by Computerworld as one of the top 40 technology innovators under 40. His work has been covered by the New York Times, Boston Globe, LA Times, MIT Technology Review, and Slashdot, and he has more than 150 publications in the areas of security and privacy, networked systems, wireless networks, data mining, and human-computer interaction. He received his PhD in computer science from the University of California, Berkeley, and his BS in computer science from Yale University.