Skip to main content
Skip to main menu Skip to spotlight region Skip to secondary region Skip to UGA region Skip to Tertiary region Skip to Quaternary region Skip to unit footer

Slideshow

Lauren Rose Wilkes participated in MIT REU

Image:
Lauren in front of her poster of work

Congratulations to our Data Science student Lauren Rose Wilkes who got selected to the Research Experiences for Undergraduates program at MIT. In Summer 2022, she worked under the supervision of Dr. Aleksander Madry in the Computer Science and Artificial Intelligence Lab. There she investigated machine learning model robustness in image classification by identifying the effect of poisoning the images most influential to the model prediction. Her project leveraged datamodels, a tool that can determine the influence of the training images on each other, to select the most influential points. By poisoning the images that are most influential to other images in the model, this project investigated the possibility of breaking the model using fewer poisoned images. By successfully choosing poisons, the project exposed the ease and risk of data poisoning if someone has access to training data and explored how machine learning models learn patterns.

Type of News/Audience:

Support us

We appreciate your financial support. Your gift is important to us and helps support critical opportunities for students and faculty alike, including lectures, travel support, and any number of educational events that augment the classroom experience. Click here to learn more about giving.

Every dollar given has a direct impact upon our students and faculty.