Two Heads Are Better Than One: A Multi-Task Learning Framework for Robustness Against Adversarial Text Perturbations
Sentiment analysis models deployed in real-world applications face significant threats from adversarial attacks that perturb the text input at the character and word levels. While adversarial robustness has been extensively studied in NLP, most approaches focus solely on improving robustness against a single attack typ...