Phrase-level Textual Adversarial Attack with Label Preservation

1 code implementation • Findings (NAACL) 2022 • Yibin Lei, Yu Cao, Dianqi Li, Tianyi Zhou, Meng Fang, Mykola Pechenizkiy

Generating high-quality textual adversarial examples is critical for investigating the pitfalls of natural language processing (NLP) models and further promoting their robustness.

Adversarial Attack