| Office | Levine 506 |
| exwong@cis | |
| Lab Blog | debugml.github.io |
I am an assistant professor at the Department of Computer and Information Science at the University of Pennsylvania. I lead Brachio Lab on debugging machine learning and making systems actually do what we want them to do. I’m also a part of the ASSET Center on safe, explainable, and trustworthy AI systems. Previously, I completed my PhD at CMU advised by Zico Kolter, and did a postdoc with Aleksander Madry.
PhD applicants: If you’re interested, you will need to
- Apply to the CIS department
- Select me as a potential advisor in your application.
Undergraduates/masters students: If you are a UPenn student and are interested in doing independent machine learning research, then I would recommend (1) take CIS 5200 (2) read this blog post, and (3) fill out this form. We will be in touch if there is a good fit. As a bonus, I would strongly recommend you take my special topics course, 3990-002 Mathematics for Machine Learning so that you are prepared for the mathematics behind the research. If you are not at UPenn, I do not currently have opportunities for external students.
In Fall 2023, I will be teaching a special topics course 3990-002 Mathematics for Machine Learning. See course website here. If you’re interested in doing advanced research or graduate coursework in AI/machine learning but have taken only the core math requirements of the CS degree, then this course is for you.
Recent News
- October ‘23: We’ve released new blog posts on faithful grouped attributions and certified jailbreak defenses. We’ve also released new work on semantic jailbreaks
- October ‘23: I gave a talk at the UCSB Responsible Machine Learning Summit
- September ‘23: Our paper “Stability Guarantees for Feature Attributions with Multiplicative Smoothing” will be presented at NeurIPS 2023
- July ‘23: We released a new blog post on certified stability guarantees for feature attributions
- July ‘23: Our paper “Do Machine Learning Models Learn Statistical Rules Inferred from Data?” will be presented at ICML 2023
- May ‘23: I gave a keynote talk at DLSP 2023 on adversarial prompting
- Mar ‘22: I am on the organizing committee for the ICML 2023 2nd Workshop on New Frontiers in Adversarial Machine Learning
- Mar ‘23: We’ve released a new blog post covering our recent work on adversarial prompting
- Mar ‘23: We’ve released a new blog post covering our recent work on in-context influences
- Jan ‘23: I am teaching CIS 5200 Machine Learning with Surbhi Goel
- July ‘22: I am creating a new course on debugging the ML pipeline for the Fall 2022 semester
- May ‘22: I will be moving to UPenn CIS as an Assistant Professor starting Fall 2022