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  4. SynFacePAD 2023: Competition on Face Presentation Attack Detection Based on Privacy-aware Synthetic Training Data
 
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2023
Conference Paper
Title

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

Abstract
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.
Author(s)
Fang, Meiling  
Fraunhofer-Institut für Graphische Datenverarbeitung IGD  
Huber, Marco  orcid-logo
Fraunhofer-Institut für Graphische Datenverarbeitung IGD  
Fierrez, Julian
Universidad Autonoma de Madrid
Ramachandra, Raghavendra
Norwegian University of Science and Technology  
Damer, Naser  
Fraunhofer-Institut für Graphische Datenverarbeitung IGD  
Alkhaddour, Alhasan
ID R&D
Kasantcev, Maksim
ID R&D
Pryadchenko, Vasiliy
ID R&D
Yang, Ziyuan
Sichuan University
Huangfu, Huijie
Sichuan University
Chen, Yingyu
Sichuan University
Zhang, Yi
Sichuan University
Pan, Yuchen
Harbin Institute of Technology  
Jiang, Junjun
Liu, Xianming
Harbin Institute of Technology  
Sun, Xianyun
Beijing University of Civil Engineering and Architecture
Wang, Caiyong
Beijing University of Civil Engineering and Architecture
Liu, Xingyu
Beijing University of Civil Engineering and Architecture
Chang, Zhaohua
Beijing University of Civil Engineering and Architecture
Zhao, Guangzhe
Beijing University of Civil Engineering and Architecture
Tapia, Juan
Hochschule Darmstadt  
Gonzalez-Soler, Lazaro
Hochschule Darmstadt  
Aravena, Carlos
I+D Vision Center
Schulz, Daniel
I+D Vision Center
Mainwork
IEEE International Joint Conference on Biometrics, IJCB 2023  
Project(s)
Next Generation Biometric Systems  
Next Generation Biometric Systems  
Funder
Bundesministerium für Bildung und Forschung -BMBF-  
Hessisches Ministerium für Wissenschaft und Kunst -HMWK-  
Conference
International Joint Conference on Biometrics 2023  
Open Access
DOI
10.1109/IJCB57857.2023.10449130
Language
English
Fraunhofer-Institut für Graphische Datenverarbeitung IGD  
Keyword(s)
  • Branche: Information Technology

  • Research Line: Computer vision (CV)

  • Research Line: Human computer interaction (HCI)

  • Research Line: Machine learning (ML)

  • LTA: Interactive decision-making support and assistance systems

  • LTA: Machine intelligence, algorithms, and data structures (incl. semantics)

  • LTA: Generation, capture, processing, and output of images and 3D models

  • Biometrics

  • Machine learning

  • Spoofing attacks

  • Face recognition

  • Generative Adversarial Networks (GAN)

  • ATHENE

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