The robustness of popular multiclass machine learning models against poisoning attacks: Lessons and insights

Despite the encouraging outcomes of machine learning and artificial intelligence applications, the safety of artificial intelligence–based systems is one of the most severe challenges that need further exploration. Data set poisoning is a severe problem that may lead to the corruption of machine lea...

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Bibliographic Details
Main Authors: Majdi Maabreh, Arwa Maabreh, Basheer Qolomany, Ala Al-Fuqaha
Format: Article
Language:English
Published: Hindawi - SAGE Publishing 2022-07-01
Series:International Journal of Distributed Sensor Networks
Online Access:https://doi.org/10.1177/15501329221105159