Rachel Hong

According to our database, Rachel Hong authored at least 6 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

A Common Pool of Privacy Problems: Legal and Technical Lessons from a Large-Scale Web-Scraped Machine Learning Dataset.

Rachel Hong, Jevan Hutson, William Agnew, Imaad Huda, Tadayoshi Kohno, Jamie Morgenstern

CoRR, June, 2025

2024

Sound Check: Auditing Audio Datasets.

William Agnew, Julia Barnett, Annie Chu, Rachel Hong, Michael Feffer, Robin Netzorg, Harry H. Jiang, Ezra Awumey, Sauvik Das

CoRR, 2024

Who's in and who's out? A case study of multimodal CLIP-filtering in DataComp.

Rachel Hong, William Agnew, Tadayoshi Kohno, Jamie Morgenstern

Proceedings of the 4th ACM Conference on Equity and Access in Algorithms, 2024

2023

Evaluation of targeted dataset collection on racial equity in face recognition.

Rachel Hong, Tadayoshi Kohno, Jamie Morgenstern

Proceedings of the 2023 AAAI/ACM Conference on AI, Ethics, and Society, 2023

Evaluation of targeted dataset collection on racial equity in face recognition.

Rachel Hong

Proceedings of the 2023 AAAI/ACM Conference on AI, Ethics, and Society, 2023

2020

Representation via Representations: Domain Generalization via Adversarially Learned Invariant Representations.

Zhun Deng, Frances Ding, Cynthia Dwork, Rachel Hong, Giovanni Parmigiani, Prasad Patil, Pragya Sur

CoRR, 2020