15 citations · 32 across the 5 of their papers we have counts for
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cs.CL2026
LBA: Textual Hard-Label Adversarial Attack under Low Query Budgets
Shixin Guo, Ming Zhong, Xuhong Zhang +5
Generating high-quality adversarial texts with low query budgets remains a challenging problem in the hard-label scenario. Most existing approaches rely on greedy algorithms, where…
cs.CL2023★ 3 cited
TextDefense: Adversarial Text Detection based on Word Importance Entropy
Lujia Shen, Xuhong Zhang, Shouling Ji +4
Currently, natural language processing (NLP) models are wildly used in various scenarios. However, NLP models, like all deep models, are vulnerable to adversarially generated text.…