Although existing face anti-spoofing (FAS) methods achieve high accuracy in intra-domain experiments, their effects drop severely cross-domain scenarios because of poor generalization. Recently, multifarious techniques have been explored, such as domain generalization and representation disentanglement. However, the improvement is still limited by two issues: 1) It difficult to perfectly map al...

Face anti-spoofing aims to prevent false authentications of face recognition systems by distinguishing whether an image is originated from a human or spoof medium. In this work, we note that images unseen domains having different spoof-irrelevant factors (e.g., background patterns and subject) induce domain shift between source target distributions. Also, when the same SiFs are shared genuine i...

State-of-the-art presentation attack detection approaches tend to overfit the instruments seen during training and fail generalize unknown instruments. Given that face is inherently a local task, we propose framework, namely Self-Supervised Regional Fully Convolutional Network (SSR-FCN), trained learn discriminative cues from image in self-supervised manner. The proposed framework (i) improves ...

Face presentation attack detection, also termed Anti-Spoofing (FAS) [item 1), 2) in the Appendix), is a hot and challenging research topic that has received much attention from computer vision pattern recognition communities past. Owing to development of deep learning big data, recent advances this related fields increased considerably. However, there are still several tasks deserve community, ...

Face anti-spoofing (FAS) plays an important role in protecting face recognition systems from representation attacks. Many recent studies FAS have approached this problem with domain generalization technique. Domain aims to increase performance better detect various types of attacks and unseen However, previous area defined each simply as datasets focused on developing learning techniques. In pa...

Phishing, or web spoofing, is a growing problem: the Anti-Phishing Working Group (APWG) received almost 14,000 unique phishing reports in August 2005, a 56% jump over the number of reports in December 2004 [3]. $150,000 [17]. For financial institutions, phishing is a particularly insidious problem, since trust forms the foundation for customer relationships, and phishing attacks undermine confi...

The usage of internet has increased in all fields of the globe and its size is increasing at a high rate. The network providers are not able to afford enough resources like computation power and bandwidth which are needed to maintain their quality of service. This inability is exploited by the attackers in the form of Denial of Service attacks (DoS) and Distributed Denial of Service attacks (DD...