Privacy–enhancing face biometrics: A comprehensive survey

B Meden, P Rot, P Terhörst, N Damer… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
Biometric recognition technology has made significant advances over the last decade and is
now used across a number of services and applications. However, this widespread …

An overview of privacy-enhancing technologies in biometric recognition

P Melzi, C Rathgeb, R Tolosana… - ACM Computing …, 2024 - dl.acm.org
Privacy-enhancing technologies are technologies that implement fundamental data
protection principles. With respect to biometric recognition, different types of privacy …

Demographic bias in biometrics: A survey on an emerging challenge

P Drozdowski, C Rathgeb, A Dantcheva… - … on Technology and …, 2020 - ieeexplore.ieee.org
Systems incorporating biometric technologies have become ubiquitous in personal,
commercial, and governmental identity management applications. Both cooperative (eg …

PrivacyNet: Semi-adversarial networks for multi-attribute face privacy

V Mirjalili, S Raschka, A Ross - IEEE Transactions on Image …, 2020 - ieeexplore.ieee.org
Recent research has established the possibility of deducing soft-biometric attributes such as
age, gender, and race from an individual's face image with high accuracy. However, this …

RAPP: Reversible privacy preservation for various face attributes

Y Zhang, T Wang, R Zhao, W Wen… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
The tremendous progress in deep learning has enabled to extract soft-biometric attributes
from faces, which raises privacy concerns over images collected for face recognition …

Identity-preserving face anonymization via adaptively facial attributes obfuscation

J Li, L Han, R Chen, H Zhang, B Han, L Wang… - Proceedings of the 29th …, 2021 - dl.acm.org
With the popularity of using computer vision technology in monitoring system, there is an
increasing societal concern on intruding people's privacy as the captured images/videos …

Pass: protected attribute suppression system for mitigating bias in face recognition

P Dhar, J Gleason, A Roy… - Proceedings of the …, 2021 - openaccess.thecvf.com
Face recognition networks encode information about sensitive attributes while being trained
for identity classification. Such encoding has two major issues:(a) it makes the face …

PulseEdit: Editing physiological signals in facial videos for privacy protection

M Chen, X Liao, M Wu - IEEE Transactions on Information …, 2022 - ieeexplore.ieee.org
Recent studies have shown that physiological signals such as heart beat and breathing can
be remotely captured from human faces using a regular color camera under ambient light …

[HTML][HTML] GaitPrivacyON: Privacy-preserving mobile gait biometrics using unsupervised learning

P Delgado-Santos, R Tolosana, R Guest… - Pattern Recognition …, 2022 - Elsevier
Numerous studies in the literature have already shown the potential of biometrics on mobile
devices for authentication purposes. However, it has been shown that, the learning …

Machine learning explainability via microaggregation and shallow decision trees

A Blanco-Justicia, J Domingo-Ferrer, S Martinez… - Knowledge-Based …, 2020 - Elsevier
Artificial intelligence (AI) is being deployed in missions that are increasingly critical for
human life. To build trust in AI and avoid an algorithm-based authoritarian society …