Results 11 to 20 of about 504 (172)
Face Anti-Spoofing Based on Adaptive Channel Enhancement and Intra-Class Constraint [PDF]
Journal of ImagingFace anti-spoofing detection is crucial for identity verification and security monitoring. However, existing single-modal models struggle with feature extraction under complex lighting conditions and background variations.
Ye Li, Wenzhe Sun, Zuhe Li, Xiang Guo
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Overview of Anti-Spoofing Methods of Face Recognition Systems for Different Sensors and Complex Scenes [PDF]
Jisuanji gongcheng, 2021 As an important biometric recognition technology, face recognition has been widely used in daily life.Although significant progress has been made in this field, the existing face recognition systems are vulnerable to malicious attacks from illegal users ...
HUANG Yifang, WEI Dandan, WU Miao, LI Huibin, GUO Meng
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Out of Domain Face Anti-spoofing: A Survey [PDF]
Jisuanji kexue yu tansuo, 2022 Face anti-spoofing (FAS), as an important means to protect face recognition models, can ensure that the system remains secure and reliable in the face of various presentation attacks.
SHI Yichen, FENG Jun, XIAO Lixuan, HE Jingjing, HU Jingjing
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Face Anti-Spoofing Based on Deep Learning: A Comprehensive Survey
Applied SciencesFace recognition has achieved tremendous success in both its theory and technology. However, with increasingly realistic attacks, such as print photos, replay videos, and 3D masks, as well as new attack methods like AI-generated faces or videos, face ...
Huifen Xing +3 more
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Meta-Teacher For Face Anti-Spoofing [PDF]
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022 Accepted by IEEE TPAMI ...
Yunxiao Qin +5 more
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CoRR, 2023 Learning generalized face anti-spoofing (FAS) models against presentation attacks is essential for the security of face recognition systems. Previous FAS methods usually encourage models to extract discriminative features, of which the distances within the same class (bonafide or attack) are pushed close while those between bonafide and attack are ...
Shuangpeng Han +5 more
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Self-Attention and MLP Auxiliary Convolution for Face Anti-Spoofing
IEEE Access, 2023 Face features, as the most widely adopted and essential biometric characteristic in identity verification and recognition, play a crucial role in ensuring security.
Hanqing Gu +4 more
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Cross‐ethnicity face anti‐spoofing recognition challenge: A review
IET Biometrics, 2021 Face anti‐spoofing is critical to prevent face recognition systems from a security breach. The biometrics community has achieved impressive progress recently due to the excellent performance of deep neural networks and the availability of large datasets.
Ajian Liu +15 more
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Face anti‐spoofing from the perspective of data sampling
Electronics Letters, 2023 Without deploying face anti‐spoofing countermeasures, face recognition systems can be spoofed by presenting a printed photo, a video, or a silicon mask of a genuine user.
Usman Muhammad, Mourad Oussalah
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Online Adaptive Personalization for Face Anti-Spoofing
2022 IEEE International Conference on Image Processing (ICIP), 2022 Face authentication systems require a robust anti-spoofing module as they can be deceived by fabricating spoof images of authorized users. Most recent face anti-spoofing methods rely on optimized architectures and training objectives to alleviate the distribution shift between train and test users.
Davide Belli +3 more
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