When talking about cancer, equity is when everyone has an equal opportunity to prevent cancer, find it early, and get proper ...
Abstract: Deep neural networks yield desirable performance in text, image, and speech classification. However, these networks are vulnerable to adversarial examples. An adversarial example is a sample ...
Abstract: Deep neural networks (DNNs) are known to be vulnerable to adversarial examples-slightly modified inputs that cause a DNN to misidentify the data, generating an adversary's desired result.
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