RoHNAS: A Neural Architecture Search Framework With Conjoint Optimization for Adversarial Robustness and Hardware Efficiency of Convolutional and Capsule Networks
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DOI: 10.1109/access.2022.3214312
Abstract: Neural Architecture Search (NAS) algorithms aim at finding efficient Deep Neural Network (DNN) architectures for a given application under given system constraints. DNNs are computationally-complex as well as vulnerable to adversarial attacks. In order to… read more here.
Keywords: hardware; robustness hardware; hardware efficiency; adversarial robustness ... See more keywords