Beyond accuracy and precision: a robust deep learning framework to enhance the resilience of face mask detection models against adversarial attacks
Author:
Publisher
Springer Science and Business Media LLC
Subject
Control and Optimization,Computer Science Applications,Modeling and Simulation,Control and Systems Engineering
Link
https://link.springer.com/content/pdf/10.1007/s12530-023-09522-z.pdf
Reference59 articles.
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2. Alhares H, Tanha J, Balafar MA (2023) AMTLDC: a new adversarial multi-source transfer learning framework to diagnosis of COVID-19. Evol Syst. https://doi.org/10.1007/s12530-023-09484-2
3. Bania RK (2023), February 1 Ensemble of deep transfer learning models for real-time automatic detection of face mask. Multimedia Tools and Applications. https://doi.org/10.1007/s11042-023-14408-y
4. Bu W, Xiao J, Zhou C, Yang M, Peng C (2017) A cascade framework for masked face detection. In: IEEE international conference on cybernetics and intelligent systems (CIS) and IEEE conference on robotics, automation and mechatronics (RAM). IEEE; 2017. pp 458–62
5. Cabani A, Hammoudi K, Benhabiles H, Melkemi M (2021) MaskedFace-Net–a dataset of correctly/incorrectly masked face images in the context of COVID-19. Smart Health 19:100144
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