Hardware/Algorithm Co-design for Adversarially Robust Deep Learning

Mojan Javaheripi,Mohammad Samragh,Bita Darvish Rouhani,Tara Javidi,Farinaz Koushanfar

IEEE Design & Test（2021）

Cited 0|Views40

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Abstract

Editor’s note: This article describes DeepFense, a framework to make deep learning models automatically and efficiently realizable on constrained devices. —Rosario Cammarota, Intel Labs —Francesco Regazzoni, University of Amsterdam and Università della Svizzera Italiana

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Key words

Training,Robustness,Perturbation methods,Hardware,Adaptation models,Iterative methods,Deep learning

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