Lewis D. Griffin

Contrasting Human- and Machine-Generated Word-Level Adversarial Examples for Text Classification

2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing

Research shows that natural language processing models are generally considered to be vulnerable to adversarial attacks; but recent work has drawn attention to the issue of validating these adversarial inputs against certain criteria (e.g., the …