2021
Universal Spectral Adversarial Attacks for Deformable Shapes
CVPR 2021poster
Machine learning models are known to be vulnerable to adversarial attacks, namely perturbations of the data that lead to wrong predictions despite being imperceptible. However, the existence of "universal" attacks (i.e., unique perturbations that transfer across different data points) has only been…