Analyzing Models, Code and Training Processes for Deep Learning Assurance

Associate Professor Wei Le

Picture of Liang Zheng

Written by: Liang Zheng
19 May 2023

Seminars

Associate Professor Wei Le
Associate Professor Wei Le

Time: 2-3pm, Monday 22 May 2023

Location: Innovation Space, Level 2, Birch Building 35

Abstract

My research focuses on understanding and assuring deep learning to ensure models can be reliably and securely deployed in the real world. In this talk, I will first discuss what deep learning assurance is and our plans for analyzing models, code and training processes to achieve the goal of assurance. I will highlight three results of our recent work: (1) empirical studies and analysis of state-of-the-art deep learning models for vulnerability detection and security; (2) dynamic analysis of training processes for early detection of malfunctioned models; and (3) numerical stability challenges in deep learning and how they may be addressed.

Biography

Wei Le is an associate professor at Iowa State University. Her research lies in the intersection of program analysis, software engineering and machine learning. Her work has appeared at top-tier venues including ICSE, FSE, ICML, ASE, ISSTA, TOSEM and TSE. She is a recipient of an NSF career award, a Google Research Award and the distinguished paper award at the top software engineering conference FSE.

You are on Aboriginal land.

The Australian National University acknowledges, celebrates and pays our respects to the Ngunnawal and Ngambri people of the Canberra region and to all First Nations Australians on whose traditional lands we meet and work, and whose cultures are among the oldest continuing cultures in human history.

arrow-left bars search times arrow-up