Improving the Robustness of Model Compression by On-Manifold Adversarial Training
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DOI: 10.3390/fi13120300
Abstract: Despite the advance in deep learning technology, assuring the robustness of deep neural networks (DNNs) is challenging and necessary in safety-critical environments, including automobiles, IoT devices in smart factories, and medical devices, to name a… read more here.
Keywords: adversarial training; manifold adversarial; model; model compression ... See more keywords