Cancelable Face Biometrics With Soft-Biometric Privacy Enhancement
The storage of biometric data has raised significant privacy concerns, necessitating robust measures for secure storage. While traditional Privacy-Enhancing Technologies (PETs), like Cancelable Biometric (CB) schemes, excel at creating protected templates that fulfill criteria such as irreversibilit...
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| Format: | Article |
| Language: | English |
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IEEE
2025-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/11086598/ |
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| author | Pietro Melzi Hatef Otroshi Shahreza Christian Rathgeb Ruben Tolosana Ruben Vera-Rodriguez Julian Fierrez Sebastien Marcel Christoph Busch |
| author_facet | Pietro Melzi Hatef Otroshi Shahreza Christian Rathgeb Ruben Tolosana Ruben Vera-Rodriguez Julian Fierrez Sebastien Marcel Christoph Busch |
| author_sort | Pietro Melzi |
| collection | DOAJ |
| description | The storage of biometric data has raised significant privacy concerns, necessitating robust measures for secure storage. While traditional Privacy-Enhancing Technologies (PETs), like Cancelable Biometric (CB) schemes, excel at creating protected templates that fulfill criteria such as irreversibility and unlinkability, they often fail to preserve the privacy of soft-biometric information. To address this issue, we propose a hybrid technology that combines PETs, leveraging their different properties to comprehensively address multiple privacy requirements and enhance overall protection for biometric templates. In our approach, we integrate Multi Incremental Variable Elimination (Multi-IVE), a recent technology designed to remove soft-biometric information from biometric templates, with conventional CB schemes. We apply our hybrid technology to facial templates and assess the properties of the resulting protected templates. In the event of stolen secrets, the combination of Multi-IVE with CB schemes helps decrease the accuracy of estimating soft-biometric attributes without affecting recognition performance, compared to CB schemes alone. |
| format | Article |
| id | doaj-art-62822fb31e2e475c8127233179dad0d6 |
| institution | Kabale University |
| issn | 2169-3536 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj-art-62822fb31e2e475c8127233179dad0d62025-08-20T03:56:04ZengIEEEIEEE Access2169-35362025-01-011312842012843110.1109/ACCESS.2025.359098911086598Cancelable Face Biometrics With Soft-Biometric Privacy EnhancementPietro Melzi0Hatef Otroshi Shahreza1https://orcid.org/0000-0002-8199-0098Christian Rathgeb2https://orcid.org/0000-0003-1901-9468Ruben Tolosana3https://orcid.org/0000-0002-9393-3066Ruben Vera-Rodriguez4https://orcid.org/0000-0002-6338-8511Julian Fierrez5https://orcid.org/0000-0002-6343-5656Sebastien Marcel6https://orcid.org/0000-0002-2497-9140Christoph Busch7https://orcid.org/0000-0002-9159-2923Universidad Autónoma de Madrid, Madrid, SpainÉcole Polytechnique Fédérale de Lausanne, Lausanne, SwitzerlandHochschule Darmstadt, Darmstadt, GermanyUniversidad Autónoma de Madrid, Madrid, SpainUniversidad Autónoma de Madrid, Madrid, SpainUniversidad Autónoma de Madrid, Madrid, SpainIdiap Research Institute, Martigny, SwitzerlandNorwegian University of Science and Technology, Gjøvik, NorwayThe storage of biometric data has raised significant privacy concerns, necessitating robust measures for secure storage. While traditional Privacy-Enhancing Technologies (PETs), like Cancelable Biometric (CB) schemes, excel at creating protected templates that fulfill criteria such as irreversibility and unlinkability, they often fail to preserve the privacy of soft-biometric information. To address this issue, we propose a hybrid technology that combines PETs, leveraging their different properties to comprehensively address multiple privacy requirements and enhance overall protection for biometric templates. In our approach, we integrate Multi Incremental Variable Elimination (Multi-IVE), a recent technology designed to remove soft-biometric information from biometric templates, with conventional CB schemes. We apply our hybrid technology to facial templates and assess the properties of the resulting protected templates. In the event of stolen secrets, the combination of Multi-IVE with CB schemes helps decrease the accuracy of estimating soft-biometric attributes without affecting recognition performance, compared to CB schemes alone.https://ieeexplore.ieee.org/document/11086598/Biometricscancelable biometricssoft-biometricsprivacy enhancementface recognition |
| spellingShingle | Pietro Melzi Hatef Otroshi Shahreza Christian Rathgeb Ruben Tolosana Ruben Vera-Rodriguez Julian Fierrez Sebastien Marcel Christoph Busch Cancelable Face Biometrics With Soft-Biometric Privacy Enhancement IEEE Access Biometrics cancelable biometrics soft-biometrics privacy enhancement face recognition |
| title | Cancelable Face Biometrics With Soft-Biometric Privacy Enhancement |
| title_full | Cancelable Face Biometrics With Soft-Biometric Privacy Enhancement |
| title_fullStr | Cancelable Face Biometrics With Soft-Biometric Privacy Enhancement |
| title_full_unstemmed | Cancelable Face Biometrics With Soft-Biometric Privacy Enhancement |
| title_short | Cancelable Face Biometrics With Soft-Biometric Privacy Enhancement |
| title_sort | cancelable face biometrics with soft biometric privacy enhancement |
| topic | Biometrics cancelable biometrics soft-biometrics privacy enhancement face recognition |
| url | https://ieeexplore.ieee.org/document/11086598/ |
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