LoRaDRL: Deep Reinforcement Learning Based Adaptive PHY Layer Transmission Parameters Selection for LoRaWAN. - Inaam Ilahi; Muhammad Usama; Muhammad Omer Farooq; Muhammad Umar Janjua; Junaid Qadir 001 (LCN, 2020)

Efficient Urdu Caption Generation using Attention based LSTMs. - Inaam Ilahi; Hafiz Muhammad Abdullah Zia; Ahtazaz Ehsan; Rauf Tabassam; Armaghan Ahmed (CoRR, 2020)

Intelligent Resource Allocation in Dense LoRa Networks using Deep Reinforcement Learning. - Inaam Ilahi; Muhammad Usama; Muhammad Omer Farooq; Muhammad Umar Janjua; Junaid Qadir 001 (CoRR, 2020)

Examining Machine Learning for 5G and Beyond Through an Adversarial Lens. - Muhammad Usama; Inaam Ilahi; Junaid Qadir 001; Rupendra Nath Mitra; Mahesh K. Marina (IEEE Internet Comput., 2021)

Challenges and Countermeasures for Adversarial Attacks on Deep Reinforcement Learning. - Inaam Ilahi; Muhammad Usama; Junaid Qadir 001; Muhammad Umar Janjua; Ala I. Al-Fuqaha; Dinh Thai Hoang; Dusit Niyato (IEEE Trans. Artif. Intell., 2022)

Untrained Neural Network Priors for Inverse Imaging Problems: A Survey. - Adnan Qayyum; Inaam Ilahi; Fahad Shamshad; Farid Boussaïd; Mohammed Bennamoun; Junaid Qadir 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

A systematic review of federated learning incentive mechanisms and associated security challenges. - Asad Ali 003; Inaam Ilahi; Adnan Qayyum; Ihab Mohammed; Ala I. Al-Fuqaha; Junaid Qadir 001 (Comput. Sci. Rev., 2023)