About
I am a first-year Ph.D. student in computer science at the University of Washington, fortunate to be advised by Prof. Rachel Lin. I did my undergrad at USC, where I had the pleasure of working with Prof. Vatsal Sharan on robustness and fairness in machine learning.
My interests lie at the intersection of machine learning, cryptography, and complexity theory. This includes algorithmic fairness, verifiable ML, privacy, and the hardness of learning.
Publications and Preprints
Unforgeable Watermarks for Language Models via Robust Signatures
(αβ-ordering) Huijia Lin, Kameron Shahabi, Min Jae Song
Coming soon!
Mitigating Simplicity Bias in Deep Learning for Improved OOD Generalization and Robustness
Bhavya Vasudeva, Kameron Shahabi, Vatsal Sharan
Transactions on Machine Learning Research, 2024
arXiv | pdf | code
Towards Accurate Spatiotemporal COVID-19 Risk Scores Using High-Resolution Real-World Mobility Data
Sirisha Rambhatla, Sepanta Zeighami, Kameron Shahabi, Cyrus Shahabi, Yan Liu
ACM Transactions on Spatial Algorithms and Systems, 2022
arXiv | pdf | code
Projects
Education
Ph.D. in Computer Science, University of Washington
September 2024 - Present
M.S. in Computer Science, University of Southern California
August 2023 - May 2024
B.S. in Computer Science, University of Southern California
August 2019 - May 2023