mlsanityData to 14 Oct 2026

SynFacePAD 2023: Competition on Face Presentation Attack Detection Based on Privacy-aware Synthetic Training Data

arXiv 2311.05336 ↗First posted 9 Nov 2023cs.CVcited by 5

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Abstract (arXiv)

This paper presents a summary of the Competition on Face Presentation Attack Detection Based on Privacy-aware Synthetic Training Data (SynFacePAD 2023) held at the 2023 International Joint Conference on Biometrics (IJCB 2023). The competition attracted a total of 8 participating teams with valid submissions from academia and industry. The competition aimed to motivate and attract solutions that target detecting face presentation attacks while considering synthetic-based training data motivated by privacy, legal and ethical concerns associated with personal data. To achieve that, the training data used by the participants was limited to synthetic data provided by the organizers. The submitted solutions presented innovations and novel approaches that led to outperforming the considered baseline in the investigated benchmarks.

Key facts. Cited by 5 papers in the map (data through 14 Oct 2026). Builds on 30 of its 59 references that are in the map. First posted on arXiv 9 Nov 2023.

Builds on

30 of 59 references.

References · 30

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18 more
  1. 2019Deep Pixel-wise Binary Supervision for Face Presentation Attack Detectioncited by 76
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  13. 2021Real Masks and Spoof Faces: On the Masked Face Presentation Attack Detectioncited by 20
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  17. 2021On the Generalisation Capabilities of Fisher Vector based Face Presentation Attack Detectioncited by 8
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Built on by

Cited by year (2026 to 14 Oct)

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

5 papers.

  1. 2025FoundPAD: Foundation Models Reloaded for Face Presentation Attack Detectioncited by 14
  2. 2025Privacy-Aware Detection of Fake Identity Documents: Methodology, Benchmark, and Improved Algorithms (FakeIDet2)cited by 7
  3. 2024Privacy-Safe Iris Presentation Attack Detectioncited by 6
  4. 2025FakeIDet: Exploring Patches for Privacy-Preserving Fake ID Detectioncited by 3
  5. 2026Tomatoes, Potatoes, and Onions: Questioning the Need for Faces in Face Presentation Attack Detectioncited by 0