Fairness in biometrics: a figure of merit to assess biometric verification systems
T de Freitas Pereira, S Marcel - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Machine learning-based (ML) systems are being largely deployed since the last decade in a
myriad of scenarios impacting several instances in our daily lives. With this vast sort of …
myriad of scenarios impacting several instances in our daily lives. With this vast sort of …
On the generalisation capabilities of Fisher vector‐based face presentation attack detection
LJ González‐Soler, M Gomez‐Barrero… - IET Biometrics, 2021 - Wiley Online Library
In past decades, the broad development experienced by biometric systems has unveiled
several threats that may decrease their trustworthiness. These are attack presentations that …
several threats that may decrease their trustworthiness. These are attack presentations that …
Toward Generalizable Facial Presentation Attack Detection Based on the Analysis of Facial Regions
In the last decade, breakthroughs in the field of deep learning have led to the development
of powerful presentation attack detection (PAD) algorithms which reported reliable …
of powerful presentation attack detection (PAD) algorithms which reported reliable …
Fisher vectors for biometric presentation attack detection
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 …
accurate, secure and in many cases, more user convenient than traditional credential-based …
Quantitative Measurement of Bias in AI-Generated Content: A Comprehensive Narrative Literature Review
AK Saxena - … IEEE International Symposium on Technology and …, 2024 - ieeexplore.ieee.org
Corporations, institutions, and individuals increasingly use artificial intelligence (AI) to make
decisions and predictions that shape many aspects of human lives. Furthermore, individuals …
decisions and predictions that shape many aspects of human lives. Furthermore, individuals …