25 citations · 34 across the 5 of their papers we have counts for
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cs.CR2019★ 25 cited
The Threat of Adversarial Attacks on Machine Learning in Network Security -- A Survey
Olakunle Ibitoye, Rana Abou-Khamis, Mohamed el Shehaby +2
Machine learning models have made many decision support systems to be faster, more accurate, and more efficient. However, applications of machine learning in network security face…
cs.NI2019★ 2 cited
Analyzing Adversarial Attacks Against Deep Learning for Intrusion Detection in IoT Networks
Olakunle Ibitoye, Omair Shafiq, Ashraf Matrawy
Adversarial attacks have been widely studied in the field of computer vision but their impact on network security applications remains an area of open research. As IoT, 5G and AI c…