Hardware/Algorithm Co-design for Adversarially Robust Deep Learning
IEEE Design & Test(2021)
摘要
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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关键词
Training,Robustness,Perturbation methods,Hardware,Adaptation models,Iterative methods,Deep learning
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