Title
Hardware/Algorithm Co-design for Adversarially Robust Deep Learning
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
Year
DOI
Venue
2021
10.1109/MDAT.2021.3063344
IEEE Design & Test
Keywords
DocType
Volume
Training,Robustness,Perturbation methods,Hardware,Adaptation models,Iterative methods,Deep learning
Journal
38
Issue
ISSN
Citations 
3
2168-2356
0
PageRank 
References 
Authors
0.34
0
5
Name
Order
Citations
PageRank
Mojan Javaheripi1185.83
Mohammad Samragh2387.01
Bita Darvish Rouhani39913.53
Tara Javidi400.34
Farinaz Koushanfar53055268.84