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Face Presentation Attack Detection

arXiv 2212.03680 ↗First posted 7 Dec 2022cs.CVcited by 0

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Abstract (arXiv)

Face recognition technology has been widely used in daily interactive applications such as checking-in and mobile payment due to its convenience and high accuracy. However, its vulnerability to presentation attacks (PAs) limits its reliable use in ultra-secure applicational scenarios. A presentation attack is first defined in ISO standard as: a presentation to the biometric data capture subsystem with the goal of interfering with the operation of the biometric system. Specifically, PAs range from simple 2D print, replay and more sophisticated 3D masks and partial masks. To defend the face recognition systems against PAs, both academia and industry have paid extensive attention to developing face presentation attack detection (PAD) technology (or namely `face anti-spoofing (FAS)').

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 42 of its 89 references that are in the map. First posted on arXiv 7 Dec 2022.

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42 of 89 references.

References · 42

  1. 2020Searching Central Difference Convolutional Networks for Face Anti-Spoofingcited by 173
  2. 2018Learning Deep Models for Face Anti-Spoofing: Binary or Auxiliary Supervisioncited by 167
  3. 2020Single-Side Domain Generalization for Face Anti-Spoofingcited by 139
  4. 2020CelebA-Spoof: Large-Scale Face Anti-Spoofing Dataset with Rich Annotationscited by 109
  5. 2020NAS-FAS: Static-Dynamic Central Difference Network Search for Face Anti-Spoofingcited by 104
  6. 2020Cross-domain Face Presentation Attack Detection via Multi-domain Disentangled Representation Learningcited by 93
  7. 2019Regularized Fine-grained Meta Face Anti-spoofingcited by 86
  8. 2015face anti-spoofing based on color texture analysiscited by 82
  9. 2014Learn Convolutional Neural Network for Face Anti-Spoofingcited by 80
  10. 2019Biometric Face Presentation Attack Detection with Multi-Channel Convolutional Neural Networkcited by 78
  11. 2019Deep Pixel-wise Binary Supervision for Face Presentation Attack Detectioncited by 76
  12. 2019Deep Tree Learning for Zero-shot Face Anti-Spoofingcited by 73
30 more
  1. 2022Domain Generalization via Shuffled Style Assembly for Face Anti-Spoofingcited by 73
  2. 2020Deep Spatial Gradient and Temporal Depth Learning for Face Anti-spoofingcited by 70
  3. 2020CASIA-SURF CeFA: A Benchmark for Multi-modal Cross-ethnicity Face Anti-spoofingcited by 66
  4. 2020Face Anti-Spoofing Via Disentangled Representation Learningcited by 65
  5. 2021Deep Learning for Face Anti-Spoofing: A Surveycited by 64
  6. 2020Face Anti-Spoofing with Human Material Perceptioncited by 62
  7. 2019CASIA-SURF: A Large-scale Multi-modal Benchmark for Face Anti-spoofingcited by 61
  8. 2018Face De-Spoofing: Anti-Spoofing via Noise Modelingcited by 60
  9. 2018A Dataset and Benchmark for Large-scale Multi-modal Face Anti-spoofingcited by 51
  10. 2021Self-Domain Adaptation for Face Anti-Spoofingcited by 49
  11. 2021Adaptive Normalized Representation Learning for Generalizable Face Anti-Spoofingcited by 49
  12. 2021Dual-Cross Central Difference Network for Face Anti-Spoofingcited by 47
  13. 2021Dual Reweighting Domain Generalization for Face Presentation Attack Detectioncited by 47
  14. 2020Revisiting Pixel-Wise Supervision for Face Anti-Spoofingcited by 45
  15. 2019Learning Meta Model for Zero- and Few-shot Face Anti-spoofingcited by 44
  16. 2020On the Effectiveness of Vision Transformers for Zero-shot Face Anti-Spoofingcited by 44
  17. 2021Contrastive Context-Aware Learning for 3D High-Fidelity Mask Face Presentation Attack Detectioncited by 43
  18. 2021TransRPPG: Remote Photoplethysmography Transformer for 3D Mask Face Presentation Attack Detectioncited by 41
  19. 2020Multi-Modal Face Anti-Spoofing Based on Central Difference Networkscited by 36
  20. 2021Detection and Continual Learning of Novel Face Presentation Attackscited by 33
  21. 2021Meta-Teacher For Face Anti-Spoofingcited by 33
  22. 2020Deep Models and Shortwave Infrared Information to Detect Face Presentation Attackscited by 29
  23. 2020DRL-FAS: A Novel Framework Based on Deep Reinforcement Learning for Face Anti-Spoofingcited by 25
  24. 2022Benchmarking Joint Face Spoofing and Forgery Detection with Visual and Physiological Cuescited by 24
  25. 2021Feature Generation and Hypothesis Verification for Reliable Face Anti-Spoofingcited by 23
  26. 20203D Face Anti-spoofing with Factorized Bilinear Codingcited by 20
  27. 2020On Improving Temporal Consistency for Online Face Liveness Detectioncited by 10
  28. 2021Aurora Guard: Reliable Face Anti-Spoofing via Mobile Lighting Systemcited by 9
  29. 2021A high performance fingerprint liveness detection method based on quality related featurescited by 5
  30. 2019The SWAX Benchmark: Attacking Biometric Systems with Wax Figurescited by 4

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