30 citations · 100 across the 18 of their papers we have counts for
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cs.CL2022★ 10 cited
Robust Textual Embedding against Word-level Adversarial Attacks
Yichen Yang, Xiaosen Wang, Kun He
We attribute the vulnerability of natural language processing models to the fact that similar inputs are converted to dissimilar representations in the embedding space, leading to…
cs.CL2022★ 1 cited
TextHacker: Learning based Hybrid Local Search Algorithm for Text Hard-label Adversarial Attack
Zhen Yu, Xiaosen Wang, Wanxiang Che +1
Existing textual adversarial attacks usually utilize the gradient or prediction confidence to generate adversarial examples, making it hard to be deployed in real-world application…
cs.CL2021★ 7 cited
Detecting Textual Adversarial Examples through Randomized Substitution and Vote
Xiaosen Wang, Yifeng Xiong, Kun He
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…