Browsing School of Engineering and Materials Science by Subject "defenses"
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Securing Machine Learning in the Cloud: A Systematic Review of Cloud Machine Learning Security.
(Frontiers, 2020-11)With the advances in machine learning (ML) and deep learning (DL) techniques, and the potency of cloud computing in offering services efficiently and cost-effectively, Machine Learning as a Service (MLaaS) cloud platforms ...