Monitoring centroid geometry during training can help detect and reduce spurious feature reliance, but attribute information remains partially recoverable—suggesting regularization alone isn't sufficient for complete bias removal.
BiasFlow is a monitoring toolkit that tracks how neural network backbones rely on spurious features (like gender in face recognition) through geometric analysis of feature centroids.