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A review on protection and cancelable techniques in biometric systems
JC Bernal-Romero, JM Ramirez-Cortes… - Ieee …, 2023 - ieeexplore.ieee.org
An essential part of cloud computing, IoT, and in general the broad field of digital systems, is
constituted by the mechanisms which provide access to a number of services or …
constituted by the mechanisms which provide access to a number of services or …
Continuous user identification in distance learning: a recent technology perspective
D Portugal, JN Faria, M Belk, P Martins… - Smart learning …, 2023 - Springer
The worldwide shift to distance learning at Higher Education Institutions (HEIs) during the
COVID-19 global pandemic has raised several concerns about the credibility of online …
COVID-19 global pandemic has raised several concerns about the credibility of online …
Robustness in deep learning models for medical diagnostics: security and adversarial challenges towards robust AI applications
H Javed, S El-Sappagh, T Abuhmed - Artificial Intelligence Review, 2025 - Springer
The current study investigates the robustness of deep learning models for accurate medical
diagnosis systems with a specific focus on their ability to maintain performance in the …
diagnosis systems with a specific focus on their ability to maintain performance in the …
Secureface: Face template protection
It has been shown that face images can be reconstructed from their representations
(templates). We propose a randomized CNN to generate protected face biometric templates …
(templates). We propose a randomized CNN to generate protected face biometric templates …
A review of EEG-based user authentication: trends and future research directions
CA Fidas, D Lyras - IEEE Access, 2023 - ieeexplore.ieee.org
Recently, the use of Electroencephalography (EEG) in scientific research on User
Authentication (UA) has led to cutting-edge experiments that seek to identify and …
Authentication (UA) has led to cutting-edge experiments that seek to identify and …
Ensuring academic integrity and trust in online learning environments: A longitudinal study of an ai-centered proctoring system in tertiary educational institutions
CA Fidas, M Belk, A Constantinides, D Portugal… - Education …, 2023 - mdpi.com
The credibility of online examinations in Higher Education is hardened by numerous factors
and use-case scenarios. This paper reports on a longitudinal study, that spanned over …
and use-case scenarios. This paper reports on a longitudinal study, that spanned over …
Towards protecting and enhancing vascular biometric recognition methods via biohashing and deep neural networks
HO Shahreza, S Marcel - IEEE Transactions on Biometrics …, 2021 - ieeexplore.ieee.org
Biometric template protection has been a crucial concern in biometric recognition systems.
This is because biometric characteristics are irreplaceable, so the compromised templates …
This is because biometric characteristics are irreplaceable, so the compromised templates …
Face template protection using deep convolutional neural network
A Kumar **dal, S Chalamala… - Proceedings of the …, 2018 - openaccess.thecvf.com
The growing use of biometrics has led to rising concerns about the security and privacy of
the biometric data (template) since it is unique to each individual and cannot be replaced. To …
the biometric data (template) since it is unique to each individual and cannot be replaced. To …
AVET: A novel transform function to improve cancellable biometrics security
Similarity preserving is a key ingredient of cancellable biometric scheme design. The notion
ensures the accuracy performance of the biometric systems can be preserved after the …
ensures the accuracy performance of the biometric systems can be preserved after the …
Challenges and opportunities in biometric security: A survey
S Arora, MPS Bhatia - Information Security Journal: A Global …, 2022 - Taylor & Francis
Biometric systems identify individuals based on unique traits such as the face, fingerprints,
iris etc. The main objective of the study is to understand the role of deep learning in the …
iris etc. The main objective of the study is to understand the role of deep learning in the …