AccelAT: A Framework for Accelerating the Adversarial Training of Deep Neural Networks Through Accuracy Gradient
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DOI: 10.1109/access.2022.3213734
Abstract: Adversarial training is exploited to develop a robust Deep Neural Network (DNN) model against the malicious altered data. These attacks may have catastrophic effects on DNN models but are indistinguishable for a human being. For… read more here.
Keywords: accelerating adversarial; training; deep neural; accuracy gradient ... See more keywords