TaeBench: Improving Quality of Toxic Adversarial Examples

Xuan Zhu, Dmitriy Bespalov, Liwen You +2

Toxicity text detectors can be vulnerable to adversarial examples - small perturbations to input text that fool the systems into wrong detection. Existing attack algorithms are tim…