86 citations · 335 across the 34 of their papers we have counts for
15 papers · 1 filter
Opportunistic Selection of Vehicular Data Brokers as Relay Nodes to the Cloud
Shadha Tabatabai, Ihab Mohammed, Ala Al-Fuqaha +1
The Internet of Things (IoT) revolution and the development of smart communities have resulted in increased demand for bandwidth due to the rise in network traffic. Instead of inve…
Adversarial Machine Learning Attack on Modulation Classification
Muhammad Usama, Muhammad Asim, Junaid Qadir +2
Modulation classification is an important component of cognitive self-driving networks. Recently many ML-based modulation classification methods have been proposed. We have evaluat…
Adversarial ML Attack on Self Organizing Cellular Networks
Salah-ud-din Farooq, Muhammad Usama, Junaid Qadir +1
Deep Neural Networks (DNN) have been widely adopted in self-organizing networks (SON) for automating different networking tasks. Recently, it has been shown that DNN lack robustnes…
Black-box Adversarial ML Attack on Modulation Classification
Muhammad Usama, Junaid Qadir, Ala Al-Fuqaha
Recently, many deep neural networks (DNN) based modulation classification schemes have been proposed in the literature. We have evaluated the robustness of two famous such modulati…
Unsupervised Adversarial Domain Adaptation for Cross-Lingual Speech Emotion Recognition
Siddique Latif, Junaid Qadir, Muhammad Bilal
Cross-lingual speech emotion recognition (SER) is a crucial task for many real-world applications. The performance of SER systems is often degraded by the differences in the distri…
The Adversarial Machine Learning Conundrum: Can The Insecurity of ML Become The Achilles' Heel of Cognitive Networks?
Muhammad Usama, Junaid Qadir, Ala Al-Fuqaha +1
The holy grail of networking is to create \textit{cognitive networks} that organize, manage, and drive themselves. Such a vision now seems attainable thanks in large part to the pr…