Houston Harper Lecture: How Machine Learning Is Changing the Landscape of Online Security

The emergence of machine learning and neural networks is fundamentally reshaping the online battlefield between malicious parties and security practitioners. As machine learning techniques evolve, so do the tools used by attackers and defenders to impersonate others, track users, and forge content. Ben Zhao will discuss recent research on this topic, examining the possible impacts of machine learning innovations—including so-called supervised learning and deep learning—in the not-too-distant future.

To register or find out more information, please click here.

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.

To learn more about the entire Harper Lecture Series, please visit the UChicago Alumni Association's page.

Questions? Contact alumniassociation@uchicago.edu or 773.702.2150.