RGN-Defense: erasing adversarial perturbations using deep residual generative network
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DOI: 10.1117/1.jei.28.1.013027
Abstract: Abstract. In recent years, deep neural networks have achieved great success in various fields, especially in computer vision. However, recent investigations have shown that current state-of-the-art classification models are highly vulnerable to adversarial perturbations contained… read more here.
Keywords: rgn defense; deep residual; adversarial perturbations; defense ... See more keywords