Face liveness detection using artificial intelligence techniques: A systematic literature review and future directions

S Khairnar, S Gite, K Kotecha, SD Thepade - Big Data and Cognitive …, 2023 - mdpi.com
Biometrics has been evolving as an exciting yet challenging area in the last decade. Though
face recognition is one of the most promising biometrics techniques, it is vulnerable to …

Use of a capsule network to detect fake images and videos

HH Nguyen, J Yamagishi, I Echizen - arXiv preprint arXiv:1910.12467, 2019 - arxiv.org
The revolution in computer hardware, especially in graphics processing units and tensor
processing units, has enabled significant advances in computer graphics and artificial …

Learning one class representations for face presentation attack detection using multi-channel convolutional neural networks

A George, S Marcel - IEEE Transactions on Information …, 2020 - ieeexplore.ieee.org
Face recognition has evolved as a widely used biometric modality. However, its vulnerability
against presentation attacks poses a significant security threat. Though presentation attack …

On the robustness of face recognition algorithms against attacks and bias

R Singh, A Agarwal, M Singh, S Nagpal… - Proceedings of the AAAI …, 2020 - aaai.org
Face recognition algorithms have demonstrated very high recognition performance,
suggesting suitability for real world applications. Despite the enhanced accuracies …

Conv-MLP: a convolution and MLP mixed model for multimodal face anti-spoofing

W Wang, F Wen, H Zheng, R Ying… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Local features contain crucial clues for face anti-spoofing. Convolutional neural networks
(CNNs) are powerful in extracting local features, but the intrinsic inductive bias of CNNs …

[PDF][PDF] Digital and physical face attacks: Reviewing and one step further

C Kong, S Wang, H Li - APSIPA Transactions on Signal and …, 2022 - nowpublishers.com
With the rapid progress over the past five years, face authentication has become the most
pervasive biometric recognition method. Thanks to the high-accuracy recognition …

3D face anti-spoofing with factorized bilinear coding

S Jia, X Li, C Hu, G Guo, Z Xu - IEEE Transactions on Circuits …, 2020 - ieeexplore.ieee.org
We have witnessed rapid advances in both face presentation attack models and
presentation attack detection (PAD) in recent years. When compared with widely studied 2D …

Domain generalization for face anti-spoofing via negative data augmentation

W Wang, P Liu, H Zheng, R Ying… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
In practical applications, the generalization capability of face anti-spoofing (FAS) models on
unseen domains is of paramount importance to adapt to diverse camera sensors, device …

Enhanced iris presentation attack detection via contraction-expansion CNN

A Agarwal, A Noore, M Vatsa, R Singh - Pattern Recognition Letters, 2022 - Elsevier
The vulnerability of iris recognition algorithms against presentation attacks including
textured contact lens is a serious concern. Several presentation attack detection (PAD) …

Unified detection of digital and physical face attacks

D Deb, X Liu, AK Jain - 2023 IEEE 17th International …, 2023 - ieeexplore.ieee.org
State-of-the-art defense mechanisms against face attacks achieve near perfect accuracies
within one of three attack categories, namely adversarial, digital manipulation, or physical …