Generating Natural Language Adversarial Examples on a Large Scale with Generative Models

Yankun Ren, Jianbin Lin, Siliang Tang +4

Today text classification models have been widely used. However, these classifiers are found to be easily fooled by adversarial examples. Fortunately, standard attacking methods ge…