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Progressive Transfer Learning for Face Anti-Spoofing
IEEE Transactions on Image Processing, 2021Face anti-spoofing (FAS) techniques play an important role in defending face recognition systems against spoofing attacks. Existing FAS methods often require a large number of annotated spoofing face data to train effective anti-spoofing models. Considering the attacking nature of spoofing data and its diverse variants, obtaining all the spoofing types
Ruijie Quan, Yu Wu, Xin Yu
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Diffusing the Liveness Cues for Face Anti-spoofing
Proceedings of the 29th ACM International Conference on Multimedia, 2021Face anti-spoofing is an important step for secure face recognition. One of the main challenges is how to learn and build a general classifier that is able to resist various presentation attacks. Recently, the patch-based face anti-spoofing schemes are shown to be able to improve the robustness of the classifier.
Sheng Li 0006 +4 more
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Context based face anti-spoofing
2013 IEEE Sixth International Conference on Biometrics: Theory, Applications and Systems (BTAS), 2013The face recognition community has finally started paying more attention to the long-neglected problem of spoofing attacks and the number of countermeasures is gradually increasing. Fairly good results have been reported on the publicly available databases but it is reasonable to assume that there exists no superior anti-spoofing technique due to the ...
Komulainen Jukka +2 more
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Robust face anti-spoofing with depth information
Journal of Visual Communication and Image Representation, 2017Abstract With the prevalence of face authentication applications, the prevention of malicious attack from fake faces such as photos or videos, i.e., face anti-spoofing, has attracted much attention recently. However, while an increasing number of works on the face anti-spoofing have been reported based on 2D RGB cameras, most of them cannot handle ...
Fudong Nian +2 more
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Unsupervised Domain Adaptation for Face Anti-Spoofing
IEEE Transactions on Information Forensics and Security, 2018Face anti-spoofing (a.k.a. presentation attack detection) has recently emerged as an active topic with great significance for both academia and industry due to the rapidly increasing demand in user authentication on mobile phones, PCs, tablets, and so on. Recently, numerous face spoofing detection schemes have been proposed based on the assumption that
Haoliang Li, Wen Li, Hong Cao
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Face anti-spoofing by using Feature Fusion
2021 3rd International Conference on Pattern Recognition and Intelligent Systems, 2021Security issues have attracted more and more attention with the application of face recognition technology. Face anti-spoofing has become an important derivative subject in the current research of face recognition, More and more researchers are devoted to the research of face anti-spoofing by the increase of fake face types. Even face anti-spoofing has
Qiong Liu, Lan Zhang
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Consistency Regularization for Deep Face Anti-Spoofing
IEEE Transactions on Information Forensics and Security, 2023Face anti-spoofing (FAS) plays a crucial role in securing face recognition systems. Empirically, given an image, a model with more consistent output on different views (i.e., augmentations) of this image usually performs better, as shown in Fig. 1. Motivated by this exciting observation, we conjecture that encouraging feature consistency of different ...
Zezheng Wang +7 more
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Face Anti-spoofing: Visual Approach
2014User authentication is an important step to protect information and in this regard face biometrics is advantageous. Face biometrics is natural, easy to use and less human-invasive. Unfortunately, recent work revealed that face biometrics is quite vulnerable to spoofing attacks.
André Anjos +4 more
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