Natural Adversarial Sentence Generation with Gradient-based Perturbation

Yu-Lun Hsieh, Minhao Cheng, Da-Cheng Juan +3

This work proposes a novel algorithm to generate natural language adversarial input for text classification models, in order to investigate the robustness of these models. It invol…