Enabling Fast and Universal Audio Adversarial Attack Using Generative Model
Enabling Fast and Universal Audio Adversarial Attack Using Generative Model
Recently, the vulnerability of deep neural network (DNN)-based audio systems to adversarial attacks has obtained increasing attention. However, the existing audio adversarial attacks allow the adversary to possess the entire user's audio input as well as granting sufficient time budget to generate the adversarial perturbations. These idealized assumptions, however, make …