def METHOD_NAME():
    if framework == "keras":
        trainer = None
    if framework in ["tensorflow", "tensorflow2v1"]:
        trainer = None
    if framework == "pytorch":
        classifier, _ = image_dl_estimator(from_logits=True)
        attack = ProjectedGradientDescent(
            classifier,
            norm=np.inf,
            eps=0.3,
            eps_step=0.03,
            max_iter=20,
            targeted=False,
            num_random_init=1,
            batch_size=128,
            verbose=False,
        )
        trainer = AdversarialTrainerTRADESPyTorch(classifier, attack, beta=6.0)
    if framework == "scikitlearn":
        trainer = None
    return trainer