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Use of in-the-wild images for anomaly detection in face anti-spoofing
[article]
2020
arXiv
pre-print
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Here, we explore the use of in-the-wild images, and images from non-specialized face databases, to train one-class classifiers for face anti-spoofing. ...
Nevertheless, in all existing work on anomaly detection for face anti-spoofing, the proposed training protocols utilize images from specialized anti-spoofing databases only, even though only common images ...
do not specialize in face-anti-spoofing. ...
arXiv:2006.10626v1
fatcat:lh3s3abb6fgjnmoxwawxderoja
Learning Meta Model for Zero- and Few-shot Face Anti-spoofing
[article]
2019
arXiv
pre-print
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Face anti-spoofing is crucial to the security of face recognition systems. ...
In this paper, we propose a novel Adaptive Inner-update Meta Face Anti-Spoofing (AIM-FAS) method to tackle this problem through meta-learning. ...
Methodology In this section, we detail the proposed Adaptive Inner-update Meta Face Anti-spoofing (AIM-FAS) method. ...
arXiv:1904.12490v3
fatcat:xnafbfgk2nedxjodm6kxz4lxvu
Learning Meta Model for Zero- and Few-Shot Face Anti-Spoofing
2020
PROCEEDINGS OF THE THIRTIETH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE AND THE TWENTY-EIGHTH INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE
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Face anti-spoofing is crucial to the security of face recognition systems. ...
In this paper, we propose a novel Adaptive Inner-update Meta Face Anti-Spoofing (AIM-FAS) method to tackle this problem through meta-learning. ...
Methodology In this section, we detail the proposed Adaptive Inner-update Meta Face Anti-spoofing (AIM-FAS) method. ...
doi:10.1609/aaai.v34i07.6866
fatcat:tbzl75n3eje2ff5kqqb7jadj2y
Domain Agnostic Feature Learning for Image and Video Based Face Anti-spoofing
[article]
2020
arXiv
pre-print
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Face anti-spoofing is a measure towards this direction for bio-metric user authentication, and in particular face recognition, that tries to prevent spoof attacks. ...
detect spoof attacks. ...
face anti-spoofing datasets. ...
arXiv:1912.07124v2
fatcat:3uqylqsnhvc5hlb4jjz5ipsg3a
Generalized face anti-spoofing by detecting pulse from face videos
2016
2016 23rd International Conference on Pattern Recognition (ICPR)
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Here we propose a robust anti-spoofing method by detecting pulse from face videos. ...
Face biometric systems are vulnerable to spoofing attacks. Such attacks can be performed in many ways, including presenting a falsified image, video or 3D mask of a valid user. ...
In real-world applications, face biometric systems are operating in open environments when unknown input devices and unseen attack scenarios will be definitely encountered. ...
doi:10.1109/icpr.2016.7900300
dblp:conf/icpr/LiKZYP16
fatcat:5py6nr32t5hz3lxppllitpiv3m
Learning Generalized Spoof Cues for Face Anti-spoofing
[article]
2020
arXiv
pre-print
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Many existing face anti-spoofing (FAS) methods focus on modeling the decision boundaries for some predefined spoof types. ...
The generator minimizes the spoof cues of live samples while imposes no explicit constraint on those of spoof samples to generalize well to unseen attacks. ...
and the spoof open-set. ...
arXiv:2005.03922v1
fatcat:tsqoi5rqzrcarlhdw7ss7a6qyy
Face Biometrics Under Spoofing Attacks: Vulnerabilities, Countermeasures, Open Issues, and Research Directions
2014
2014 IEEE Conference on Computer Vision and Pattern Recognition Workshops
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The goal of this position paper is to share the lessons learned about spoofing and antispoofing in face biometrics, and to highlight open issues and future directions. ...
, proposing new countermeasures, setting standards/protocols, and recording databases for the analysis of spoofing attacks to a wide range of biometrics including face, voice, gait, fingerprints, retina ...
FACE ANTI-SPOOFING METHODS We discuss in this section some existing works in the literature on face anti-spoofing. ...
doi:10.1109/cvprw.2014.22
dblp:conf/cvpr/Hadid14
fatcat:kjkgh6av3fglplwqpdakmoiqva
Deep Learning for Face Anti-Spoofing: A Survey
[article]
2022
arXiv
pre-print
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2021 pre-print arXiv:2106.14948v1 fatcat:o2rkploxuzfs3lbievb5t6ycqm
Face anti-spoofing (FAS) has lately attracted increasing attention due to its vital role in securing face recognition systems from presentation attacks (PAs). ...
., pseudo depth map); 2) in addition to traditional intra-dataset evaluation, we collect and analyze the latest methods specially designed for domain generalization and open-set FAS; and 3) besides commercial ...
in the real-world open-set scenarios (i.e., both known and unknown attacks). ...
arXiv:2106.14948v2
fatcat:wsheo7hbwvewhjoe6ykwjuqfii
On the Use of Client Identity Information for Face Antispoofing
2015
IEEE Transactions on Information Forensics and Security
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capabilities on unseen types of spoofing attacks. ...
Regardless of the biometric mode, the typical approach of anti-spoofing systems is to classify biometric evidence based on features discriminating between real accesses and spoofing attacks. ...
Indeed, having in mind that the possibilities for inventing novel spoofing attacks are unlimited, exhibiting robustness to unseen spoofing attacks may be a major security asset of anti-spoofing systems ...
doi:10.1109/tifs.2015.2400392
fatcat:rijf27jgrrbbzilzylnmpc2wq4
DRL-FAS: A Novel Framework Based on Deep Reinforcement Learning for Face Anti-Spoofing
[article]
2020
arXiv
pre-print
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In particular, we model the behavior of exploring face-spoofing-related information from image sub-patches by leveraging deep reinforcement learning. ...
to gain more discriminative information, for the face anti-spoofing problem, we propose a novel framework based on the Convolutional Neural Network (CNN) and the Recurrent Neural Network (RNN). ...
This indicates the setting of unseen presentation attack types is more challenging than unseen faces poses and expressions as well as unseen attack mediums. ...
arXiv:2009.07529v2
fatcat:mouozrxn5zho3hgtty2p4p32zm
Aurora Guard: Reliable Face Anti-Spoofing via Mobile Lighting System
[article]
2021
arXiv
pre-print
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In this paper, we propose a simple yet effective face anti-spoofing system, termed Aurora Guard (AG). ...
Despite the increasing reliability of cutting-edge face authentication/verification systems to variations like blinking eye and subtle facial expression, anti-spoofing against high-resolution rendering ...
Comparison to State-of-the-Art Face Anti-Spoofing. ...
arXiv:2102.00713v1
fatcat:lygqlqblnfevzgjqbu2htg4axe
NAS-FAS: Static-Dynamic Central Difference Network Search for Face Anti-Spoofing
[article]
2020
IEEE Transactions on Software Engineering
pre-print
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Face anti-spoofing (FAS) plays a vital role in securing face recognition systems. Existing methods heavily rely on the expert-designed networks, which may lead to a sub-optimal solution for FAS task. ...
The challenges of utilizing NAS for FAS are in two folds: the networks searched on 1) a specific acquisition condition might perform poorly in unseen conditions, and 2) particular spoofing attacks might ...
Open-Set Face Anti-Spoofing. Most existing FAS methods are supervised by predefined scenarios and PAs. ...
doi:10.1109/tpami.2020.3036338
pmid:33166249
arXiv:2011.02062v1
fatcat:cshgog3xevagdifydveyfgm7fi
A one-class classification approach to generalised speaker verification spoofing countermeasures using local binary patterns
2013
2013 IEEE Sixth International Conference on Biometrics: Theory, Applications and Systems (BTAS)
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Since the exact nature of spoofing attacks can never be known in practice, there is thus a need for generalised countermeasures which can detect previously unseen spoofing attacks. ...
The new countermeasure captures differences in the spectro-temporal texture of genuine and spoofed speech, but relies only on a model of the former. ...
Non-uniform patterns are discarded and normalised histograms of the remaining uniform LBPs in each row are concatenated to form the new anti-spoofing feature. of countermeasures to unseen spoofing attacks ...
doi:10.1109/btas.2013.6712706
dblp:conf/btas/AlegreAE13
fatcat:63wgwwuf55bm3cebvgeqg2hize
On Disentangling Spoof Trace for Generic Face Anti-Spoofing
[article]
2020
arXiv
pre-print
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Prior studies show that the key to face anti-spoofing lies in the subtle image pattern, termed "spoof trace", e.g., color distortion, 3D mask edge, Moire pattern, and many others. ...
Our method demonstrates superior spoof detection performance on both seen and unseen spoof scenarios while providing visually convincing estimation of spoof traces. ...
Anti-Spoofing for Unknown Spoof Types Another important aspect of anti-spoofing model is to generalize to the unknown/unseen. ...
arXiv:2007.09273v1
fatcat:ep25wv3jxfgc5fs5fa2lm3b7my
Face recognition under spoofing attacks: countermeasures and research directions
2018
IET Biometrics
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Among tangible threats facing current biometric systems are spoofing attacks. ...
This study presents a comprehensive overview of the recent advances in face anti-spoofing state-of-the-art, discussing existing methodologies, available benchmarking databases, reported results and, more ...
An open set fingerprint spoof detection was presented in [74] . ...
doi:10.1049/iet-bmt.2017.0089
fatcat:rocm5fkk5jhopn5u6tpen54czi
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