TextAttack

TextAttack is a Python framework designed for generating adversarial examples, performing data augmentation, and facilitating model training within Natural Language Processing (NLP) applications. Its primary use case is to enhance the understanding and robustness of NLP models through various adversarial attacks while also enabling dataset augmentation to improve model generalization. Notable features include a command-line interface for executing attacks, support for multiple pre-trained models, and the ability to streamline the model training process with minimal configuration.