A Survey on Deep Learning Resilience Assessment Methodologies | IEEE Journals & Magazine | IEEE Xplore

A Survey on Deep Learning Resilience Assessment Methodologies


Abstract:

Deep learning (DL) reliability is becoming a growing concern, and efficient reliability assessment approaches are required to meet safety constraints. This article presen...Show More

Abstract:

Deep learning (DL) reliability is becoming a growing concern, and efficient reliability assessment approaches are required to meet safety constraints. This article presents a survey of the main DL reliability assessment methodologies, focusing mainly on fault injection techniques used to evaluate DL resilience.
Published in: Computer ( Volume: 56, Issue: 2, February 2023)
Page(s): 57 - 66
Date of Publication: 10 February 2023

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