Deep learning for face anti-spoofing: A survey

Z Yu, Y Qin, X Li, C Zhao, Z Lei… - IEEE transactions on …, 2022 - ieeexplore.ieee.org
Face anti-spoofing (FAS) has lately attracted increasing attention due to its vital role in
securing face recognition systems from presentation attacks (PAs). As more and more …

Are explainability tools gender biased? a case study on face presentation attack detection

M Huber, M Fang, F Boutros… - 2023 31st European …, 2023 - ieeexplore.ieee.org
Face recognition (FR) systems continue to spread in our daily lives with an increasing
demand for higher explain-ability and interpretability of FR systems that are mainly based on …

Recognition performance variation across demographic groups through the eyes of explainable face recognition

M Huber, AT Luu, N Damer - 2024 IEEE 18th International …, 2024 - ieeexplore.ieee.org
Face recognition systems are susceptible to differences in performance across demographic
or non-demographic groups. However, the understanding of the behavior of face recognition …

Myope models-are face presentation attack detection models short-sighted?

PC Neto, AF Sequeira… - Proceedings of the IEEE …, 2022 - openaccess.thecvf.com
Presentation attacks are recurrent threats to biometric systems, where impostors attempt to
bypass these systems. Humans often use background information as contextual cues for …

Fisher vectors for biometric presentation attack detection

LJ Gonzalez-Soler, M Gomez-Barrero, J Patino… - Handbook of Biometric …, 2023 - Springer
Biometric systems have experienced a large development over the last years since they are
accurate, secure and in many cases, more user convenient than traditional credential-based …

[HTML][HTML] An attention-guided framework for explainable biometric presentation attack detection

S Pan, S Hoque, F Deravi - Sensors, 2022 - mdpi.com
Despite the high performances achieved using deep learning techniques in biometric
systems, the inability to rationalise the decisions reached by such approaches is a …

Does Machine Learning Replicate the Uncanny Valley? An Example using FaceNet

T Imaizumi, L Li, K Ueda - Proceedings of the Annual Meeting of …, 2023 - escholarship.org
Androids that strongly but imperfectly resemble humans in shape can elicit negative
emotions in people, a phenomenon known as the" uncanny valley," which has been …

Causality-inspired taxonomy for explainable artificial intelligence

PC Neto, T Gonçalves, JR Pinto, W Silva… - arxiv preprint arxiv …, 2022 - arxiv.org
As two sides of the same coin, causality and explainable artificial intelligence (xAI) were
initially proposed and developed with different goals. However, the latter can only be …

Explainable and Interpretable Face Presentation Attack Detection Methods

ML Nóbrega - 2021 - search.proquest.com
The face has always been the main way used by human beings to recognize individuals.
With all the technological advances, this became a method used in the digital world, and …

Deep Aesthetic Assessment of Breast Cancer Surgery Outcomes

WJ dos Santos Silva - 2022 - search.proquest.com
Treatments for breast cancer have continued to evolve and improve in recent years,
resulting in a substantial increase in survival rates, with approximately an 80% survival at 10 …