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.

翻译：本文总结了2023年国际生物特征识别联合会议（IJCB 2023）上举办的“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）。该竞赛共吸引了来自学术界和工业界的8支有效参赛队伍。竞赛旨在激励并征集针对人脸呈现攻击检测的解决方案，同时考虑基于合成训练数据的隐私、法律及伦理问题。为此，参赛者使用的训练数据仅限于由主办方提供的合成数据。提交的解决方案展现了创新性与新方法，在相关基准测试中均优于所考虑的基线模型。