Universal Adversarial Attacks

AbstractRecent work has demonstrated the vulnerability of modern text classifiers to universal adversarial attacks, which are input-agnostic sequences of words added to text processed by classifiers. Despite being successful, the …...

Abstract“Pre-trained language models are sensitive to adversarial attacks, and recent works have demon-strated universal adversarial attacks that can apply input-agnostic perturbations to mislead mod-els. Here, we demonstrate that universal adversarial …...