The creation and detection of deepfakes: A survey
Generative deep learning algorithms have progressed to a point where it is difficult to tell the
difference between what is real and what is fake. In 2018, it was discovered how easy it is to …
difference between what is real and what is fake. In 2018, it was discovered how easy it is to …
A review of state-of-the-art in Face Presentation Attack Detection: From early development to advanced deep learning and multi-modal fusion methods
Face Recognition is considered one of the most common biometric solutions these days and
is widely used across a range of devices for various security purposes. The performance of …
is widely used across a range of devices for various security purposes. The performance of …
Single-side domain generalization for face anti-spoofing
Existing domain generalization methods for face anti-spoofing endeavor to extract common
differentiation features to improve the generalization. However, due to large distribution …
differentiation features to improve the generalization. However, due to large distribution …
Generative domain adaptation for face anti-spoofing
Face anti-spoofing (FAS) approaches based on unsupervised domain adaption (UDA) have
drawn growing attention due to promising performances for target scenarios. Most existing …
drawn growing attention due to promising performances for target scenarios. Most existing …
Biometrics: Trust, but verify
Over the past two decades, biometric recognition has exploded into a plethora of different
applications around the globe. This proliferation can be attributed to the high levels of …
applications around the globe. This proliferation can be attributed to the high levels of …
Source-free domain adaptation with contrastive domain alignment and self-supervised exploration for face anti-spoofing
Despite promising success in intra-dataset tests, existing face anti-spoofing (FAS) methods
suffer from poor generalization ability under domain shift. This problem can be solved by …
suffer from poor generalization ability under domain shift. This problem can be solved by …
Adversarial learning domain-invariant conditional features for robust face anti-spoofing
Face anti-spoofing has been widely exploited in recent years to ensure security in face
recognition systems; however, this technology suffers from poor generalization performance …
recognition systems; however, this technology suffers from poor generalization performance …
Learning generalizable and identity-discriminative representations for face anti-spoofing
Face anti-spoofing aims to detect presentation attack to face recognition--based
authentication systems. It has drawn growing attention due to the high security demand. The …
authentication systems. It has drawn growing attention due to the high security demand. The …
Dual-branch meta-learning network with distribution alignment for face anti-spoofing
Existing face anti-spoofing (FAS) methods fail to generalize well to unseen domains with
different data distribution from the training domains, due to the distribution discrepancies …
different data distribution from the training domains, due to the distribution discrepancies …
Face liveness detection using artificial intelligence techniques: A systematic literature review and future directions
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 …
face recognition is one of the most promising biometrics techniques, it is vulnerable to …