mlsanityData to 14 Oct 2026

Introduction to Presentation Attack Detection in Face Biometrics and Recent Advances

arXiv 2111.11794 ↗First posted 23 Nov 2021cs.CV eess.IVcited by 11

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Abstract (arXiv)

The main scope of this chapter is to serve as an introduction to face presentation attack detection, including key resources and advances in the field in the last few years. The next pages present the different presentation attacks that a face recognition system can confront, in which an attacker presents to the sensor, mainly a camera, a Presentation Attack Instrument (PAI), that is generally a photograph, a video, or a mask, to try to impersonate a genuine user. First, we make an introduction of the current status of face recognition, its level of deployment, and its challenges. In addition, we present the vulnerabilities and the possible attacks that a face recognition system may be exposed to, showing that way the high importance of presentation attack detection methods. We review different types of presentation attack methods, from simpler to more complex ones, and in which cases they could be effective. Then, we summarize the most popular presentation attack detection methods to deal with these attacks. Finally, we introduce public datasets used by the research community for exploring vulnerabilities of face biometrics to presentation attacks and developing effective countermeasures against known PAIs.

Key facts. Cited by 11 papers in the map (data through 14 Oct 2026). Builds on 17 of its 98 references that are in the map. First posted on arXiv 23 Nov 2021.

Builds on

17 of 98 references.

References · 17

  1. 2019Celeb-DF: A Large-scale Challenging Dataset for DeepFake Forensicscited by 575
  2. 2020DeepFakes and Beyond: A Survey of Face Manipulation and Fake Detectioncited by 233
  3. 2019The Deepfake Detection Challenge (DFDC) Preview Datasetcited by 209
  4. 2018Learning Deep Models for Face Anti-Spoofing: Binary or Auxiliary Supervisioncited by 167
  5. 2020The DeepFake Detection Challenge (DFDC) Datasetcited by 132
  6. 2019Biometric Face Presentation Attack Detection with Multi-Channel Convolutional Neural Networkcited by 79
  7. 2018A Dataset and Benchmark for Large-scale Multi-modal Face Anti-spoofingcited by 51
  8. 2019GANprintR: Improved Fakes and Evaluation of the State of the Art in Face Manipulation Detectioncited by 42
  9. 2021TransRPPG: Remote Photoplethysmography Transformer for 3D Mask Face Presentation Attack Detectioncited by 41
  10. 2020Learning One Class Representations for Face Presentation Attack Detection using Multi-channel Convolutional Neural Networkscited by 36
  11. 2018On Low-Resolution Face Recognition in the Wild: Comparisons and New Techniquescited by 34
  12. 2020DeepFakesON-Phys: DeepFakes Detection based on Heart Rate Estimationcited by 29
5 more
  1. 2020DeepFakes Evolution: Analysis of Facial Regions and Fake Detection Performancecited by 22
  2. 2020mEBAL: A Multimodal Database for Eye Blink Detection and Attention Level Estimationcited by 19
  3. 2019edBB: Biometrics and Behavior for Assessing Remote Educationcited by 17
  4. 2020Facial Expressions as a Vulnerability in Face Recognitioncited by 11
  5. 2020A Comparative Evaluation of Heart Rate Estimation Methods using Face Videoscited by 6

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2023: 2; 2024: 3; 2025: 5; 2026: 1.

11 papers.