How much of a face is a face: exploring reidentification potential with generative AI
We provide quantitative metrics of the reidentification risk that modern generative AI technology poses for partially obscured facial images.
Authors
- Andrew McNeil (ORCID: https://orcid.org/0000-0003-1496-9691)
- Eric R. Tkaczyk (ORCID: https://orcid.org/0000-0002-2850-4740)
- Chloe Cho
- Bennett A. Landman
- Yihao Liu
- Bohan Jiang
- Benoit M. Dawant
Institutions
- Vanderbilt University (US)
- Vanderbilt University Medical Center (US)
Publication Details
- Journal
- Journal of Medical Imaging
- Published
- 2026-02-15
- DOI
- https://doi.org/10.1117/1.jmi.13.s1.s11202
- Primary Topic
- Face Recognition and Perception
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Science Foundation
- Vanderbilt University
- National Institutes of Health
- National Institute of General Medical Sciences
- National Center for Advancing Translational Sciences