Hai-Xin Duan

ValCAT: Variable-Length Contextualized Adversarial Transformations Using Encoder-Decoder Language Model

Adversarial texts help explore vulnerabilities in language models, improve model robustness, and explain their working mechanisms. However, existing word-level attack methods trap in a one-to-one attack pattern, i.e., only a single word can be modified in one transformation round, and they ignore th…