mlsanityData to 7 Oct 2026

3D High-Fidelity Mask Face Presentation Attack Detection Challenge

arXiv 2108.06968 ↗First posted 16 Aug 2021cs.CVcited by 18

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Abstract (arXiv)

The threat of 3D masks to face recognition systems is increasingly serious and has been widely concerned by researchers. To facilitate the study of the algorithms, a large-scale High-Fidelity Mask dataset, namely CASIA-SURF HiFiMask (briefly HiFiMask) has been collected. Specifically, it consists of a total amount of 54, 600 videos which are recorded from 75 subjects with 225 realistic masks under 7 new kinds of sensors. Based on this dataset and Protocol 3 which evaluates both the discrimination and generalization ability of the algorithm under the open set scenarios, we organized a 3D High-Fidelity Mask Face Presentation Attack Detection Challenge to boost the research of 3D mask-based attack detection. It attracted 195 teams for the development phase with a total of 18 teams qualifying for the final round. All the results were verified and re-run by the organizing team, and the results were used for the final ranking. This paper presents an overview of the challenge, including the introduction of the dataset used, the definition of the protocol, the calculation of the evaluation criteria, and the summary and publication of the competition results. Finally, we focus on introducing and analyzing the top ranking algorithms, the conclusion summary, and the research ideas for mask attack detection provided by this competition.

Key facts. Cited by 18 papers in the map (data through 7 Oct 2026). Builds on 36 of its 55 references that are in the map. First posted on arXiv 16 Aug 2021.

Builds on

36 of 55 references.

References · 36

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  10. 2018Learning Deep Models for Face Anti-Spoofing: Binary or Auxiliary Supervisioncited by 167
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24 more
  1. 2020NAS-FAS: Static-Dynamic Central Difference Network Search for Face Anti-Spoofingcited by 104
  2. 2021Local Relation Learning for Face Forgery Detectioncited by 100
  3. 2021Adv-Makeup: A New Imperceptible and Transferable Attack on Face Recognitioncited by 95
  4. 2019Regularized Fine-grained Meta Face Anti-spoofingcited by 86
  5. 2019Biometric Face Presentation Attack Detection with Multi-Channel Convolutional Neural Networkcited by 78
  6. 2020Deep Spatial Gradient and Temporal Depth Learning for Face Anti-spoofingcited by 70
  7. 2020CASIA-SURF CeFA: A Benchmark for Multi-modal Cross-ethnicity Face Anti-spoofingcited by 66
  8. 2020Face Anti-Spoofing Via Disentangled Representation Learningcited by 65
  9. 2021Deep Learning for Face Anti-Spoofing: A Surveycited by 64
  10. 2020Face Anti-Spoofing with Human Material Perceptioncited by 62
  11. 2018A Dataset and Benchmark for Large-scale Multi-modal Face Anti-spoofingcited by 51
  12. 2021Adaptive Normalized Representation Learning for Generalizable Face Anti-Spoofingcited by 49
  13. 2021Dual-Cross Central Difference Network for Face Anti-Spoofingcited by 47
  14. 2021Dual Reweighting Domain Generalization for Face Presentation Attack Detectioncited by 47
  15. 2021Generalizable Representation Learning for Mixture Domain Face Anti-Spoofingcited by 46
  16. 2020Revisiting Pixel-Wise Supervision for Face Anti-Spoofingcited by 45
  17. 2019Learning Meta Model for Zero- and Few-shot Face Anti-spoofingcited by 44
  18. 2021Contrastive Context-Aware Learning for 3D High-Fidelity Mask Face Presentation Attack Detectioncited by 43
  19. 2021TransRPPG: Remote Photoplethysmography Transformer for 3D Mask Face Presentation Attack Detectioncited by 41
  20. 2021Delving into Data: Effectively Substitute Training for Black-box Attackcited by 27
  21. 2020Cross-ethnicity Face Anti-spoofing Recognition Challenge: A Reviewcited by 25
  22. 2021Structure Destruction and Content Combination for Face Anti-Spoofingcited by 18
  23. 2021Total Generate: Cycle in Cycle Generative Adversarial Networks for Generating Human Faces, Hands, Bodies, and Natural Scenescited by 12
  24. 2021Aurora Guard: Reliable Face Anti-Spoofing via Mobile Lighting Systemcited by 9

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 1; 2022: 1; 2023: 7; 2024: 5; 2025: 2; 2026: 2.

18 papers.

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  1. 2024CFPL-FAS: Class Free Prompt Learning for Generalizable Face Anti-spoofingcited by 39
  2. 2023Towards Effective Adversarial Textured 3D Meshes on Physical Face Recognitioncited by 33
  3. 2023FM-ViT: Flexible Modal Vision Transformers for Face Anti-Spoofingcited by 22
  4. 2022Flexible-Modal Face Anti-Spoofing: A Benchmarkcited by 20
  5. 2023MA-ViT: Modality-Agnostic Vision Transformers for Face Anti-Spoofingcited by 18
  6. 2024Joint Physical-Digital Facial Attack Detection Via Simulating Spoofing Cluescited by 8
  7. 2024La-SoftMoE CLIP for Unified Physical-Digital Face Attack Detectioncited by 8
  8. 2023Surveillance Face Presentation Attack Detection Challengecited by 5
  9. 2021Review of Face Presentation Attack Detection Competitionscited by 3
  10. 2023AdvFAS: A robust face anti-spoofing framework against adversarial examplescited by 3
  11. 2024Unified Physical-Digital Attack Detection Challengecited by 3
  12. 2023Wild Face Anti-Spoofing Challenge 2023: Benchmark and Resultscited by 2
6 more
  1. 2023Compact: Approximating Complex Activation Functions for Secure Computationcited by 1
  2. 2024FaceCat: Enhancing Face Recognition Security with a Unified Diffusion Modelcited by 0
  3. 2025Unified Face Matching and Physical-Digital Spoofing Attack Detectioncited by 0
  4. 2025Spoofing-aware Prompt Learning for Unified Physical-Digital Facial Attack Detectioncited by 0
  5. 2026Robustness of Presentation Attack Detection in Remote Identity Validation Scenarioscited by 0
  6. 2026MS-MFAD : Multimodal large language models for Face Anti-spoofing Detectioncited by 0