mlsanityData to 7 Oct 2026

Iris Liveness Detection Competition (LivDet-Iris) -- The 2020 Edition

arXiv 2009.00749 ↗First posted 1 Sep 2020cs.CVcited by 27

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Abstract (arXiv)

Launched in 2013, LivDet-Iris is an international competition series open to academia and industry with the aim to assess and report advances in iris Presentation Attack Detection (PAD). This paper presents results from the fourth competition of the series: LivDet-Iris 2020. This year's competition introduced several novel elements: (a) incorporated new types of attacks (samples displayed on a screen, cadaver eyes and prosthetic eyes), (b) initiated LivDet-Iris as an on-going effort, with a testing protocol available now to everyone via the Biometrics Evaluation and Testing (BEAT)(https://www.idiap.ch/software/beat/) open-source platform to facilitate reproducibility and benchmarking of new algorithms continuously, and (c) performance comparison of the submitted entries with three baseline methods (offered by the University of Notre Dame and Michigan State University), and three open-source iris PAD methods available in the public domain. The best performing entry to the competition reported a weighted average APCER of 59.10% and a BPCER of 0.46% over all five attack types. This paper serves as the latest evaluation of iris PAD on a large spectrum of presentation attack instruments.

Key facts. Cited by 27 papers in the map (data through 7 Oct 2026). First posted on arXiv 1 Sep 2020.

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 7; 2022: 3; 2023: 5; 2024: 3; 2025: 5; 2026: 4.

27 papers.

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  1. 2021Biometrics: Trust, but Verifycited by 39
  2. 2021Human-Aided Saliency Maps Improve Generalization of Deep Learningcited by 27
  3. 2022Deep Learning for Iris Recognition: A Surveycited by 25
  4. 2021Iris Presentation Attack Detection by Attention-based and Deep Pixel-wise Binary Supervision Networkcited by 15
  5. 2023Iris Liveness Detection Competition (LivDet-Iris) -- The 2023 Editioncited by 13
  6. 2021Iris Liveness Detection using a Cascade of Dedicated Deep Learning Networkscited by 9
  7. 2023Teaching AI to Teach: Leveraging Limited Human Salience Data Into Unlimited Saliency-Based Trainingcited by 8
  8. 2025Towards Iris Presentation Attack Detection with Foundation Modelscited by 6
  9. 2023MENTOR: Human Perception-Guided Pretraining for Increased Generalizationcited by 4
  10. 2024Grains of Saliency: Optimizing Saliency-based Training of Biometric Attack Detection Modelscited by 4
  11. 2024A Parametric Approach to Adversarial Augmentation for Cross-Domain Iris Presentation Attack Detectioncited by 4
  12. 2021Introduction to Presentation Attack Detection in Iris Biometrics and Recent Advancescited by 3
15 more
  1. 2023Investigating Weight-Perturbed Deep Neural Networks With Application in Iris Presentation Attack Detectioncited by 3
  2. 2021Synthetic Periocular Iris PAI from a Small Set of Near-Infrared-Imagescited by 2
  3. 2022Intra and Cross-spectrum Iris Presentation Attack Detection in the NIR and Visible Domainscited by 2
  4. 2025A Multi-domain Image Translative Diffusion StyleGAN for Iris Presentation Attack Detectioncited by 2
  5. 2022State Of The Art In Open-Set Iris Presentation Attack Detectioncited by 1
  6. 2026Lowering the Barrier to IREX Participation: Open-Source Algorithms, Toolkit, and Benchmarking for Iris Recognitioncited by 1
  7. 2021DFCANet: Dense Feature Calibration-Attention Guided Network for Cross Domain Iris Presentation Attack Detectioncited by 0
  8. 2023Iris Presentation Attack: Assessing the Impact of Combining Vanadium Dioxide Films with Artificial Eyescited by 0
  9. 2024Training Better Deep Learning Models Using Human Saliencycited by 0
  10. 2025Task-conditioned Ensemble of Expert Models for Continuous Learningcited by 0
  11. 2025Almost Right: Making First-Layer Kernels Nearly Orthogonal Improves Model Generalizationcited by 0
  12. 2025SAGE: Saliency-Guided Contrastive Embeddingscited by 0
  13. 2026Beyond Mortality: Advancements in Post-Mortem Iris Recognition through Data Collection and Computer-Aided Forensic Examinationcited by 0
  14. 2026What's Old is New Again: Classical Dimensionality Reduction for Efficient Saliency-Guided Biometric Attack Detectioncited by 0
  15. 2026Detecting Clear Contact Lenses for Iris Recognition: A Two-Stage Mask-Guided Attention Approachcited by 0