Data-free Universal Adversarial Perturbation with Pseudo-semantic Prior

Chanhui Lee, Yeonghwan Song, Jeany Son

Data-free Universal Adversarial Perturbation (UAP) is an image-agnostic adversarial attack that deceives deep neural networks using a single perturbation generated solely from rand…