TAADpapers

TAADpapers provides a comprehensive collection of must-read papers focused on textual adversarial attacks and defenses. It is organized into various categories, including survey papers, attack papers, and defense papers, making it a valuable resource for researchers and practitioners in the field of natural language processing. The repository is maintained by contributors from academic institutions, ensuring that it remains up-to-date with the latest developments in adversarial learning.