9 citations · 19 across the 19 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★ 6 cited
Improving the Robustness of Transformer-based Large Language Models with Dynamic Attention
Lujia Shen, Yuwen Pu, Shouling Ji +4
Transformer-based models, such as BERT and GPT, have been widely adopted in natural language processing (NLP) due to their exceptional performance. However, recent studies show the…