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Human-in-the-Loop Generation of Adversarial Texts: A Case Study on Tibetan Script
DNN-based language models excel across various NLP tasks but remain highly vulnerable to textual adversarial attacks. While adversarial text generation is crucial for NLP security, explainability, evaluation, and data augmentation, related work remains overwhelmingly English-centric, leaving the pro
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