General Framework to Evaluate Unlinkability in Biometric Template Protection Systems
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Abstract (arXiv)
The wide deployment of biometric recognition systems in the last two decades has raised privacy concerns regarding the storage and use of biometric data. As a consequence, the ISO/IEC 24745 international standard on biometric information protection has established two main requirements for protecting biometric templates: irreversibility and unlinkability. Numerous efforts have been directed to the development and analysis of irreversible templates. However, there is still no systematic quantitative manner to analyse the unlinkability of such templates. In this paper we address this shortcoming by proposing a new general framework for the evaluation of biometric templates' unlinkability. To illustrate the potential of the approach, it is applied to assess the unlinkability of four state-of-the-art techniques for biometric template protection: biometric salting, Bloom filters, Homomorphic Encryption and block re-mapping. For the last technique, the proposed framework is compared with other existing metrics to show its advantages.
Key facts. Cited by 10 papers in the map (data through 14 Oct 2026). Builds on 0 of its 64 references that are in the map. First posted on arXiv 8 Nov 2023.
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Citing papers per year: 2024: 3; 2025: 5; 2026: 2.
10 papers.
- 2024SlerpFace: Face Template Protection via Spherical Linear Interpolationcited by 8
- 2024Reversing the Irreversible: A Survey on Inverse Biometricscited by 4
- 2024CFVNet: An End-to-End Cancelable Finger Vein Network for Recognitioncited by 3
- 2025Securing Face and Fingerprint Templates in Humanitarian Biometric Systemscited by 2
- 2025ColorVein: Colorful Cancelable Vein Biometricscited by 1
- 2025FaceAnonyMixer: Cancelable Faces via Identity Consistent Latent Space Mixingcited by 1
- 2025Cancelable Biometric Template Generation Using Random Feature Vector Transformationscited by 0
- 2025FaceCloak: Learning to Protect Face Templatescited by 0
- 2026Picture the Epsilon: Pursuing Identity-Level Privacy Guarantees for Imagescited by 0
- 2026Quantifying privacy risks in foundation model representations of brain MRIcited by 0
- 2026Quantifying privacy risks in foundation model representations of brain MRI14 Oct 2026
- 2026Picture the Epsilon: Pursuing Identity-Level Privacy Guarantees for Images17 Aug 2026
- 2025Securing Face and Fingerprint Templates in Humanitarian Biometric Systems25 Aug 2025
- 2025FaceAnonyMixer: Cancelable Faces via Identity Consistent Latent Space Mixing7 Aug 2025
- 2025ColorVein: Colorful Cancelable Vein Biometrics19 Apr 2025
- 2025FaceCloak: Learning to Protect Face Templates8 Apr 2025
- 2025Cancelable Biometric Template Generation Using Random Feature Vector Transformations19 Mar 2025
- 2024CFVNet: An End-to-End Cancelable Finger Vein Network for Recognition23 Sep 2024
- 2024SlerpFace: Face Template Protection via Spherical Linear Interpolation3 Jul 2024
- 2024Reversing the Irreversible: A Survey on Inverse Biometrics5 Jan 2024