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Towards a Robust and Trustworthy Machine Learning System Development: An
Engineering Perspective

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Towards a Robust and Trustworthy Machine Learning System Development: An Engineering Perspective

Journal of Information Security and Applications (JISA), 2021

8 January 2021

Philippe Lamontagne

Heather Molyneaux

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Papers citing "Towards a Robust and Trustworthy Machine Learning System Development: An Engineering Perspective"

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Security for Machine Learning-based Software Systems: a survey of threats, practices and challengesACM Computing Surveys (ACM CSUR), 2022 Huaming Chen Muhammad Ali Babar AAML 207 31 0 12 Jan 2022
Machine Learning for Security in Vehicular Networks: A Comprehensive SurveyIEEE Communications Surveys and Tutorials (COMST), 2021 Anum Talpur M. Gurusamy 275 74 0 31 May 2021
An Interpretable Graph-based Mapping of Trustworthy Machine Learning Research N. Derzsy Subhabrata Majumdar Rajat Malik 122 1 0 13 May 2021
Adversarial Examples on Object Recognition: A Comprehensive SurveyACM Computing Surveys (ACM CSUR), 2020 A. Serban E. Poll Joost Visser AAML 345 78 0 07 Aug 2020