Ben Zhao

Ben Zhao’s research covers a range of topics from adversarial machine learning, to large-distributed networks and systems, HCI, security and privacy, and wireless/mobile systems. His current projects are focused on topics related to security and privacy of machine learning models and systems.

Ben Zhao is Neubauer Professor of Computer Science at University of Chicago. Prior to  joining UChicago, he held the position of Professor of Computer Science at UC Santa Barbara. He completed his Ph.D. at U.C. Berkeley (2004), and B.S. from Yale (1997). He is an ACM distinguished scientist, and a recipient of the NSF CAREER award, MIT Technology Review's TR-35 Award (Young Innovators Under 35), ComputerWorld Magazine's Top 40 Technology Innovators award, IEEE ITC Early Career Award, and Google Faculty awards. His work has been covered by media outlets such as New York Times, Boston Globe, LA Times, MIT Tech Review, Wall Street Journal, Forbes, Fortune, CNBC, MSNBC, New Scientist, and Slashdot.  He has published over 170 articles in areas of security and privacy, machine learning, networking, and HCI (H-index 71). He served as TPC (co-)chair for the World Wide Web conference (WWW 2016) and ACM Internet Measurement Conference (IMC 2018). He also serves on the steering committee for HotNets, and was general co-chair for HotNets 2020.  

Zhao Stories

The Hidden Dangers of Artificial Intelligence with Ben Zhao (Ep. 21)

A computer scientist at UChicago explains how artificial intelligence can break crucial systems and be broken itself.