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.

2023 年国际联合生物识别学术会议（IJCB 2023）举办的基于隐私感知合成训练数据的人脸呈现攻击检测竞赛（SynFacePAD 2023）的论文总结，共有 8 个来自学术界和工业界的参赛队伍提交了有效解决方案，竞赛旨在鼓励和吸引以隐私、法律和伦理问题为动机的以合成数据为基础的人脸呈现攻击检测解决方案，参赛选手使用的训练数据仅限于主办方提供的合成数据，提交的解决方案提出了创新和新颖的方法，在研究基准测试中表现优于考虑的基准。