Robust machine learning systems: Challenges, current trends, perspectives, and the road ahead

Muhammad Shafique, Mahum Naseer, Theocharis Theocharides, Christos Kyrkou, Onur Mutlu, Lois Orosa, Jungwook Choi

Research output: Contribution to journalReview articlepeer-review

Abstract

Currently, machine learning (ML) techniques are at the heart of smart cyber-physical systems (CPS) and Internet-of-Things (IoT). This article discusses various challenges and probable solutions for security attacks on these ML-inspired hardware and software techniques. - Partha Pratim Pande, Washington State University.

Original languageEnglish (US)
Article number8979377
Pages (from-to)30-57
Number of pages28
JournalIEEE Design and Test
Volume37
Issue number2
DOIs
StatePublished - Apr 2020

ASJC Scopus subject areas

  • Software
  • Hardware and Architecture
  • Electrical and Electronic Engineering

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