By using a dataset created with GANDiffFace, researchers were able to fine-tune the ArcFace model for significantly lower FMRs for different demographic groups. The limitations of real-world biometric training datasets, including the introduction of bias through unbalanced demographic representation, are well established. Synthetic training data offers promise, but has its own limitations. A novel method of avoiding those limitations was presented at the Norwegian Biometrics Laboratory Annual Workshop 2024, hosted by the EAB earlier this month.