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pro vyhledávání: '"Dong, Kaixiang"'
Deep neural networks (DNNs) are known to be sensitive to adversarial input perturbations, leading to a reduction in either prediction accuracy or individual fairness. To jointly characterize the susceptibility of prediction accuracy and individual fa
Externí odkaz:
http://arxiv.org/abs/2404.01356
Deep neural networks (DNNs) often face challenges due to their vulnerability to various adversarial perturbations, including false perturbations that undermine prediction accuracy and biased perturbations that cause biased predictions for similar inp
Externí odkaz:
http://arxiv.org/abs/2305.10906