About
I am a PhD student in Computer Science at the University of Chicago, mentored by Ben Zhao and Heather Zheng at the SAND Lab (Security, Algorithms, Networking and Data). My research interests are broadly at the intersection of ML, security, and privacy. I am also interested in what we can learn about the fundamentals of ML from efforts to make deep learning more secure and robust.Previously, I was an AI Resident at FAIR working on post-quantum cryptanalysis with ML, mentored by Kristin Lauter and François Charton. I graduated from UC Berkeley, where I did ML research at RISELab (Real-time Intelligent Secure Explainable systems Lab), mentored by Joseph Gonzalez.
Education
Ph.D. in Computer ScienceUniversity of Chicago (2023.9 - Present)
B.A. in Computer Science, Statistics, Applied Math, Cognitive Science, Linguistics, and Data Science
magna cum laude
University of California, Berkeley (2017.8 - 2020.12)
More about this
Publications
SALSA VERDE: a machine learning attack on Learning With Errors with sparse small secretsCathy Li, Emily Wenger, Zeyuan Allen-Zhu, François Charton, Kristin Lauter
Proceedings of the 37th Conference on Neural Information Processing Systems (NeurIPS), Nov 2023.
SALSA PICANTE: a machine learning attack on LWE with binary secrets
Cathy Li, Jana Sotáková, Emily Wenger, Mohamed Malhou, Evrard Garcelon, François Charton, Kristin Lauter
Proceedings of the ACM Conference on Computer and Communications Security (CCS), Nov 2023.
An efficient algorithm for integer lattice reduction
François Charton, Kristin Lauter, Cathy Li, Mark Tygert
SIAM Journal on Matrix Analysis and Applications (SIMAX), to appear.
Teaching
At UC Berkeley, I was a (Head) TA for CS 188: Introduction to Artificial Intelligence.(Fa19, Sp20, Su20, Fa20)