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)

Evaluation of targeted dataset collection on racial equity in face recognition. - Rachel Hong (AIES, 2023)

Evaluation of targeted dataset collection on racial equity in face recognition. - Rachel Hong; Tadayoshi Kohno; Jamie Morgenstern (AIES, 2023)

Who's in and who's out? A case study of multimodal CLIP-filtering in DataComp. - Rachel Hong; William Agnew; Tadayoshi Kohno; Jamie Morgenstern (EAAMO, 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)

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, 2025)