The reliability of Deep Learning systems depends on their accuracy but also robustness against adversarial perturbations to the input data. Several attacks and defenses have been proposed improve performance Neural Networks under presence noise in natural image domain. However, computer-aided diagnosis for volumetric data has only explored specific tasks with limited attacks. We propose a new f...