AI for vulnerability detection
Speaker (s):
Wei Le
Lecturer,
Monash University
| Date: Time: Venue: | | 4 July 2024, Thursday 10:00am – 11:00am School of Economics/School of Computing & Information Systems 2 (SOE/SCIS 2)
Level 4, Seminar Room 4-2
Singapore Management University
90 Stamford Road
Singapore 178903 Please register by 3 July 2024. We look forward to seeing you at this research seminar. 
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About the Talk
Vulnerability detection has been a challenging task for program analysis and AI, as it requires an understanding of program semantics. In this talk, I will first illustrate the challenge of this problem by presenting our studies of recent models and state-of-the-art LLMs. I will then highlight our recent work on building different AI models for vulnerability detection, including (1) data-flow inspired models, (2) causality-based approaches, and (3) models built with program traces. The work will shed light on AI for other SE tasks.
About the Speaker
Wei Le is an associate professor at Iowa State University. Her research lies at the intersection of program analysis, software engineering, and machine learning. Her work has appeared at top-tier venues including ICSE, FSE, ICML, ASE, ISSTA, KDD, TOSEM and TSE. She is a recipient of an NSF Career Award, a Google Research Award and a Distinguished Paper Award at FSE. Her presentations will be based on her recent ICSE papers, which can be found at https://weile.work/
