Inaam Ilahi - researchr alias

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Viewing Publication 1 - 5 from 5

2023

A systematic review of federated learning incentive mechanisms and associated security challengesAsad Ali 0003, Inaam Ilahi, Adnan Qayyum, Ihab Mohammed, Ala I. Al-Fuqaha, Junaid Qadir 0001. csr, 50:100593, November 2023. [doi]

Untrained Neural Network Priors for Inverse Imaging Problems: A SurveyAdnan Qayyum, Inaam Ilahi, Fahad Shamshad, Farid Boussaïd, Mohammed Bennamoun, Junaid Qadir 0001. pami, 45(5):6511-6536, May 2023. [doi]

2022

Challenges and Countermeasures for Adversarial Attacks on Deep Reinforcement LearningInaam Ilahi, Muhammad Usama, Junaid Qadir 0001, Muhammad Umar Janjua, Ala I. Al-Fuqaha, Dinh Thai Hoang, Dusit Niyato. tai, 3(2):90-109, 2022. [doi]

2021

Examining Machine Learning for 5G and Beyond Through an Adversarial LensMuhammad Usama, Inaam Ilahi, Junaid Qadir 0001, Rupendra Nath Mitra, Mahesh K. Marina. internet, 25(2):26-34, 2021. [doi]

2020

LoRaDRL: Deep Reinforcement Learning Based Adaptive PHY Layer Transmission Parameters Selection for LoRaWANInaam Ilahi, Muhammad Usama, Muhammad Omer Farooq, Muhammad Umar Janjua, Junaid Qadir 0001. lcn 2020: 457-460 [doi]

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