Hong, R., Agnew, W., Kohno, T. & Morgenstern, J. (2024). Sound Check: Auditing Audio Datasets. Preprint. [codebase]
Hong, R., Agnew, W., Kohno, T. & Morgenstern, J. (2024). Who's in and who's out? A case study of multimodal CLIP-filtering in DataComp. In Proceedings of the ACM Conference on Equity and Access in Algorithms, Mechanisms, and Optimization. [codebase]
Lee C. P., Hong, R., Morgenstern, J. (2024). Fairness through partial awareness: Evaluation of the addition of demographic information for bias mitigation methods. ICML 2024 Next Generation of AI Safety Workshop.
Hong, R., Kohno, T. & Morgenstern, J. (2023). Evaluation of targeted dataset collection on racial equity in face recognition. In Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society. [codebase]
Deng, Z., Ding, F., Dwork, C., Hong, R., Parmigiani, G., Patil, P., & Sur, P. (2020). Representation via representations: Domain generalization via adversarially learned invariant representations. Preprint. [codebase]