def METHOD_NAME(art_warning, get_mnist_classifier, get_default_mnist_subset, noise):
    classifier = get_mnist_classifier()
    (x_train, y_train), (_, _) = get_default_mnist_subset
    mixup = Mixup(num_classes=10)
    try:
        trainer = DPInstaHideTrainer(classifier, augmentations=mixup, noise=noise, loc=0, scale=0.1)
        trainer.fit(x_train, y_train, nb_epochs=1)
    except ARTTestException as e:
        art_warning(e)