13 citations · 51 across the 10 of their papers we have counts for
5 papers · 1 filter
Intelligent Resource Allocation in Dense LoRa Networks using Deep Reinforcement Learning
Inaam Ilahi, Muhammad Usama, Muhammad Omer Farooq +2
The anticipated increase in the count of IoT devices in the coming years motivates the development of efficient algorithms that can help in their effective management while keeping…
Examining Machine Learning for 5G and Beyond through an Adversarial Lens
Muhammad Usama, Rupendra Nath Mitra, Inaam Ilahi +2
Spurred by the recent advances in deep learning to harness rich information hidden in large volumes of data and to tackle problems that are hard to model/solve (e.g., resource allo…
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…
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…
Artificial Intelligence as an Enabler for Cognitive Self-Organizing Future Networks
Siddiq Latif, Farrukh Pervez, Muhammad Usama +1
The explosive increase in number of smart devices hosting sophisticated applications is rapidly affecting the landscape of information communication technology industry. Mobile sub…