Hasan, Md. Rezwan, Guest, Richard, Deravi, Farzin (2023) Presentation-Level Privacy Protection Techniques for Automated Face Recognition - A Survey. ACM Computing Surveys, 56 (13s). pp. 1-27. ISSN 1557-7341. (doi:10.1145/3583135) (KAR id:100135)
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Official URL: https://doi.org/10.1145/3583135 |
Abstract
The use of Biometric Facial Recognition (FR) Systems have become increasingly widespread, especially since the advent of deep neural network-based architectures (DNNs). Although FR systems provide substantial benefits in terms of security and safety, the use of these systems also raises significant privacy concerns. This paper discusses recent advances in facial identity hiding techniques, focusing on privacy protection approaches that hide or protect facial biometric data before camera devices capture the data. Moreover, we also discuss the state-of-the-art methods used to evaluate such privacy protection techniques. The primary motivation of this survey is to assess the relative performance of facial privacy protection methods and identify open challenges and future work that needs to be considered in this research area.
Item Type: | Article |
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DOI/Identification number: | 10.1145/3583135 |
Uncontrolled keywords: | General Computer Science, Theoretical Computer Science |
Subjects: |
Q Science > QA Mathematics (inc Computing science) T Technology > TA Engineering (General). Civil engineering (General) |
Divisions: | Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Engineering and Digital Arts |
SWORD Depositor: | JISC Publications Router |
Depositing User: | JISC Publications Router |
Date Deposited: | 24 Feb 2023 14:37 UTC |
Last Modified: | 05 Nov 2024 13:05 UTC |
Resource URI: | https://kar.kent.ac.uk/id/eprint/100135 (The current URI for this page, for reference purposes) |
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