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cs.CL2022
Rethinking Textual Adversarial Defense for Pre-trained Language Models
Jiayi Wang, Rongzhou Bao, Zhuosheng Zhang +1
Although pre-trained language models (PrLMs) have achieved significant success, recent studies demonstrate that PrLMs are vulnerable to adversarial attacks. By generating adversari…
cs.LG2022
Distinguishing Non-natural from Natural Adversarial Samples for More Robust Pre-trained Language Model
Jiayi Wang, Rongzhou Bao, Zhuosheng Zhang +1
Recently, the problem of robustness of pre-trained language models (PrLMs) has received increasing research interest. Latest studies on adversarial attacks achieve high attack succ…