2025
TaeBench: Improving Quality of Toxic Adversarial Examples
NAACL 2025industry
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 time-consuming and often produce invalid or ambiguous adversarial examples, making them less useful for evaluating or impro…