The DOI matches its Crossref record; 20 of the 20 references it cites were found in a registry or an index.
Preserving privacy by de-identifying face images
Abstract
In the context of sharing video surveillance data, a significant threat to privacy is face recognition software, which can automatically identify known people, such as from a database of drivers' license photos, and thereby track people regardless of suspicion. This paper introduces an algorithm to protect the privacy of individuals in video surveillance data by deidentifying faces such that many facial characteristics remain but the face cannot be reliably recognized. A trivial solution to deidentifying faces involves blacking out each face. This thwarts any possible face recognition, but because all facial details are obscured, the result is of limited use. Many ad hoc attempts, such as covering eyes, fail to thwart face recognition because of the robustness of face recognition methods. This work presents a new privacy-enabling algorithm, named k-Same, that guarantees face recognition software cannot reliably recognize deidentified faces, even though many facial details are preserved. The algorithm determines similarity between faces based on a distance metric and creates new faces by averaging image components, which may be the original image pixels (k-Same-Pixel) or eigenvectors (k-Same-Eigen). Results are presented on a standard collection of real face images with varying k.
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Citations
Cites
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Self-citation
Cited by
A General Survey of Privacy-Preserving Data Mining Models and Algorithms
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Facial Expression Recognition: A Survey
Huang, Y., Chen, F., Lv, S., & Wang, X. (2019) · Symmetry · doi:10.3390/sym11101189 · Cited by 195
Mughaid, A., Obeidat, I., AlZu’bi, S., Elsoud, E. A., Alnajjar, A., Alsoud, A. R., & Abualigah, L. (2023) · Multimedia Tools and Applications · doi:10.1007/s11042-023-14347-8 · Cited by 39
Lee, J. H., & You, S. J. (2024) · IEEE Access · doi:10.1109/access.2024.3352146 · Cited by 29
Metadata
- Authors
- Newton, E. M., Sweeney, L., & Malin, B.
- Venue
- IEEE Transactions on Knowledge and Data Engineering
- Published
- 2005-02
- Volume
- 17
- Issue
- 2
- Pages
- 232-243
- ISSN
- 1041-4347 (ISSN-L)
- OpenAlex
- W2103958416
- Cited by
- 615
- References
- 20
- FWCI
- 21.54
- Type
- journal article
- Language
- en
- Open access
- closed
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