Face recognition: Past, present and future (a review)
Biometric systems have the goal of measuring and analyzing the unique physical or
behavioral characteristics of an individual. The main feature of biometric systems is the use …
behavioral characteristics of an individual. The main feature of biometric systems is the use …
Revisiting pixel-wise supervision for face anti-spoofing
Face anti-spoofing (FAS) plays a vital role in securing face recognition systems from the
presentation attacks (PAs). As more and more realistic PAs with novel types spring up, it is …
presentation attacks (PAs). As more and more realistic PAs with novel types spring up, it is …
In ictu oculi: Exposing ai created fake videos by detecting eye blinking
The new developments in deep generative networks have significantly improve the quality
and efficiency in generating realistically-looking fake face videos. In this work, we describe a …
and efficiency in generating realistically-looking fake face videos. In this work, we describe a …
Biometric face presentation attack detection with multi-channel convolutional neural network
A George, Z Mostaani, D Geissenbuhler… - IEEE transactions on …, 2019 - ieeexplore.ieee.org
Face recognition is a mainstream biometric authentication method. However, the
vulnerability to presentation attacks (aka spoofing) limits its usability in unsupervised …
vulnerability to presentation attacks (aka spoofing) limits its usability in unsupervised …
Cross-domain face presentation attack detection via multi-domain disentangled representation learning
Face presentation attack detection (PAD) has been an urgent problem to be solved in the
face recognition systems. Conventional approaches usually assume the testing and training …
face recognition systems. Conventional approaches usually assume the testing and training …
Deep pixel-wise binary supervision for face presentation attack detection
Face recognition has evolved as a prominent biometric authentication modality. However,
vulnerability to presentation attacks curtails its reliable deployment. Automatic detection of …
vulnerability to presentation attacks curtails its reliable deployment. Automatic detection of …
In ictu oculi: Exposing ai generated fake face videos by detecting eye blinking
The new developments in deep generative networks have significantly improve the quality
and efficiency in generating realistically-looking fake face videos. In this work, we describe a …
and efficiency in generating realistically-looking fake face videos. In this work, we describe a …
Attention-based two-stream convolutional networks for face spoofing detection
Since the human face preserves the richest information for recognizing individuals, face
recognition has been widely investigated and achieved great success in various …
recognition has been widely investigated and achieved great success in various …
Learning meta pattern for face anti-spoofing
Face Anti-Spoofing (FAS) is essential to secure face recognition systems and has been
extensively studied in recent years. Although deep neural networks (DNNs) for the FAS task …
extensively studied in recent years. Although deep neural networks (DNNs) for the FAS task …
Advanced digital forensics and anti-digital forensics for IoT systems: Techniques, limitations and recommendations
Recently, the number of cyber attacks against IoT domains has increased tremendously.
This resulted into both human and financial losses at all IoT levels especially individual and …
This resulted into both human and financial losses at all IoT levels especially individual and …