Recent years have seen the wide application of NLP models in crucial areas such as finance, medical treatment, and news media, raising concerns about the model robustness. Existing methods are mainly ...
As artificial intelligence (AI) continues to advance at an unprecedented pace, ensuring the fairness of deep neural networks (DNNs) has become a pressing concern. Adversarial sampling, initially ...
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