Muhammad Usama
Muhammad Usama
Information Technology University, Lahore, Pakistan
Verified email at
Cited by
Cited by
Unsupervised Machine Learning for Networking: Techniques, Applications and Research Challenges
M Usama, J Qadir, A Raza, H Arif, KLA Yau, Y Elkhatib, A Hussain, ...
IEEE Access, 2019
Securing connected & autonomous vehicles: Challenges posed by adversarial machine learning and the way forward
A Qayyum, M Usama, J Qadir, A Al-Fuqaha
IEEE Communications Surveys & Tutorials 22 (2), 998-1026, 2020
Generative adversarial networks for launching and thwarting adversarial attacks on network intrusion detection systems
M Usama, M Asim, S Latif, J Qadir, A Al-Fuqaha
2019 15th international wireless communications & mobile computing …, 2019
Challenges and countermeasures for adversarial attacks on deep reinforcement learning
I Ilahi, M Usama, J Qadir, MU Janjua, A Al-Fuqaha, DT Huang, D Niyato
IEEE Transactions on Artificial Intelligence, 2021
Speech technology for healthcare: Opportunities, challenges, and state of the art
S Latif, J Qadir, A Qayyum, M Usama, S Younis
IEEE Reviews in Biomedical Engineering 14, 342-356, 2020
Black-box adversarial machine learning attack on network traffic classification
M Usama, A Qayyum, J Qadir, A Al-Fuqaha
2019 15th International Wireless Communications & Mobile Computing …, 2019
Artificial intelligence as an enabler for cognitive self-organizing future networks
S Latif, F Pervez, M Usama, J Qadir
arXiv preprint arXiv:1702.02823, 2017
Caveat emptor: the risks of using big data for human development
S Latif, A Qayyum, M Usama, J Qadir, A Zwitter, M Shahzad
Ieee technology and society magazine 38 (3), 82-90, 2019
Adversarial attacks on cognitive self-organizing networks: The challenge and the way forward
M Usama, J Qadir, A Al-Fuqaha
2018 IEEE 43rd Conference on Local Computer Networks Workshops (LCN …, 2018
Examining Machine Learning for 5G and Beyond through an Adversarial Lens
M Usama, RN Mitra, I Ilahi, J Qadir, MK Marina
IEEE Internet Computing, 2021
Securing machine learning in the cloud: A systematic review of cloud machine learning security
A Qayyum, A Ijaz, M Usama, W Iqbal, J Qadir, Y Elkhatib, A Al-Fuqaha
Frontiers in big Data 3, 587139, 2020
A First Look at COVID-19 Messages on WhatsApp in Pakistan
RT Javed, ME Shuja, M Usama, J Qadir, W Iqbal, G Tyson, I Castro, ...
2020 IEEE/ACM International Conference on Advances in Social Networks …, 2020
LoRaDRL: Deep reinforcement learning based adaptive PHY layer transmission parameters selection for LoRaWAN
I Ilahi, M Usama, MO Farooq, MU Janjua, J Qadir
2020 IEEE 45th Conference on Local Computer Networks (LCN), 457-460, 2020
The adversarial machine learning conundrum: can the insecurity of ML become the achilles' heel of cognitive networks?
M Usama, J Qadir, A Al-Fuqaha, M Hamdi
IEEE Network 34 (1), 196-203, 2019
A deep dive into COVID-19-related messages on WhatsApp in Pakistan
RT Javed, M Usama, W Iqbal, J Qadir, G Tyson, I Castro, K Garimella
Social Network Analysis and Mining 12, 1-16, 2022
Adversarial machine learning attack on modulation classification
M Usama, M Asim, J Qadir, A Al-Fuqaha, MA Imran
2019 UK/China Emerging Technologies (UCET), 1-4, 2019
Spectragan: Spectrum based generation of city scale spatiotemporal mobile network traffic data
K Xu, R Singh, M Fiore, MK Marina, H Bilen, M Usama, H Benn, ...
Proceedings of the 17th International Conference on emerging Networking …, 2021
On Analyzing Self-Driving Networks: A Systems Thinking Approach
T Yaqoob, M Usama, J Qadir, G Tyson
ACM SIGCOMM Workshop on Self-Driving Networks, 2018
Intelligent resource allocation in dense lora networks using deep reinforcement learning
I Ilahi, M Usama, MO Farooq, MU Janjua, J Qadir
arXiv preprint arXiv:2012.11867, 2020
Fake visual content detection using two-stream convolutional neural networks
B Yousaf, M Usama, W Sultani, A Mahmood, J Qadir
Neural Computing and Applications 34 (10), 7991-8004, 2022
The system can't perform the operation now. Try again later.
Articles 1–20