Impact of Light and Shadow on Robustness of Deep Neural Networks
Impact of Light and Shadow on Robustness of Deep Neural Networks
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Hu, Chengyin , Shi, Weiwen , Li, Chao , Sun, Jialiang , Wang, Donghua , Wu, Junqi and Tang, Guijian
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Ithaca: Cornell University Library, arXiv.org
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English
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Ithaca: Cornell University Library, arXiv.org
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Deep neural networks (DNNs) have made remarkable strides in various computer vision tasks, including image classification, segmentation, and object detection. However, recent research has revealed a vulnerability in advanced DNNs when faced with deliberate manipulations of input data, known as adversarial attacks. Moreover, the accuracy of DNNs is...
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Impact of Light and Shadow on Robustness of Deep Neural Networks
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TN_cdi_proquest_journals_2818536097
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2818536097
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E-ISSN
2331-8422
