Robust Machine Learning Systems: Challenges,Current Trends, Perspectives, and the Road Ahead | IEEE Journals & Magazine | IEEE Xplore
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Journals & Magazines >IEEE Design & Test >Volume: 37 Issue: 2

Robust Machine Learning Systems: Challenges,Current Trends, Perspectives, and the Road Ahead

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Muhammad Shafique; Mahum Naseer; Theocharis Theocharides; Christos Kyrkou; Onur Mutlu; Lois Orosa
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Abstract:

Currently, machine learning (ML) techniques are at the heart of smart cyber-physical systems (CPSs) and Internet-of-Things (loT). This article discusses various challenge...Show More

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Abstract:

Currently, machine learning (ML) techniques are at the heart of smart cyber-physical systems (CPSs) and Internet-of-Things (loT). This article discusses various challenges and probable solutions for security attacks on these ML-inspired hardware and software techniques.
Published in: IEEE Design & Test ( Volume: 37, Issue: 2, April 2020)
Page(s): 30 - 57
Date of Publication: 03 February 2020

ISSN Information:

DOI: 10.1109/MDAT.2020.2971217
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