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Qingyang Zhao

1 accepted papers

2024

LimeAttack: Local Explainable Method for Textual Hard-Label Adversarial Attack

AAAI 2024technical

Natural language processing models are vulnerable to adversarial examples. Previous textual adversarial attacks adopt model internal information (gradients or confidence scores) to generate adversarial examples. However, this information is unavailable in the real world. Therefore, we focus on a mo…