I'm working towards graduate research in trustworthy AI and ML security, reproducing papers I want to understand, and writing up what I learn along the way. I want AI systems that are more transparent and evaluable, and I want to be part of the work that gets us there.
Applying for graduate study in trustworthy ML, starting Fall 2027. If you're working on this, I'd love to hear from you! Always looking to collaborate on interesting projects. :)
Highlighted posts
Series · 2 parts
Label-Only Membership InferenceReproducing a 2021 ML-security paper and everything I learned along the way.
Recent writing
All posts →- The gap attack, and some ML fundamentals
To build the gap attack I first had to learn how to train a neural network, so this post is mostly the ML setup (CNNs, tensors, loss, gradient descent), with the working attack at the end.
- What is a membership inference attack?
The first in a series cataloguing my journey reproducing papers I want to properly understand. Starting with the core idea and vocabulary of membership inference attacks.