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IDS Guest Seminar - by Professor Hao Chen

Title: AI-driven Software Security

Speaker: Hao Chen, Professor, Department of Computer Science, University of California, Davis.

Date: Jan 10, 2024
Time: 10:00am – 11:00am
Venue: Tam Wing Fan Inno wing Two, HKU / Zoom

Mode: Hybrid. Seats for on-site participants are limited. A confirmation email will be sent to participants who have successfully registered.


As more of our society moves to and relies on computer systems, the software that runs on these systems has become so large and complex that traditional approaches to software security are unable to keep up with it. On the other hand, machine learning prospers on large, diverse data sets. I will discuss our endeavor to apply machine learning to software security. I will show how to transform fuzz testing from a random, ad hoc approach to a principled approach based on machine learning techniques, and demonstrate that this principled approach solves important problems that challenge traditional software testing. I will also discuss how machine learning can benefit from software engineering. I will show how to use fuzz testing to assist code representation learning and to improve program understanding tasks. I will discuss the challenges, opportunities, and open problems in AI-driven software security.


Professor Hao Chen
Professor @ University of California, Davis
Hao Chen is a professor at the Department of Computer Science at the University of California, Davis. He received his PhD at the Computer Science Division at the University of California, Berkeley. His research interests are computer security, software engineering, and machine learning. He won the US National Science Foundation CAREER award in 2007, and UC Davis College of Engineering Faculty Award in 2010. He is a fellow of the IEEE and a distinguished member of the ACM.

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