Detecting textual adversarial examples through randomized substitution and vote

Xiaosen Wang, Yifeng Xiong, Kun He

Abstract: A line of work has shown that natural text processing models are vulnerable to adversarial examples. Correspondingly, various defense methods are proposed to mitigate the threat of textual adversar...