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Publications

Does Privacy Always Harm Fairness? Data-Dependent Trade-offs via Chernoff Information Neural Estimation
Arjun Nichani, Hsiang Hsu, Chun-Fu (Richard) Chen, Haewon Jeong
Arxiv Preprint, 2026

Gone With the Bits: Revealing Racial Bias in Low-Rate Neural Compression for Facial Images
Tian Qiu*, Arjun Nichani*, Rasta Tadayon, Haewon Jeong
ACM Conference on Fairness, Accountability, and Transparency (FAccT), 2025

Workshop/Abstracts

Can We Catch the Two Birds of Fairness and Privacy?
Arjun Nichani, Hsiang Hsu, Haewon Jeong
International Conference on Learning Representations (ICLR), 2025
Advances in Financial AI Workshop

Machine Learning for Prediction of Pacemaker After TAVR in Patients with Low Stroke Volume Index
Amitabh C Pandey, Arjun Nichani, Megan Pelter, et al.
Journal of the American College of Cardiology (JACC), 2021

*=equal contribution