Medical Image Analysis using Convolutional Neural Networks: A Review. - Adnan Qayyum; Syed Muhammad Anwar; Muhammad Majid; Muhammad Awais 001; Majdi R. Alnowami (CoRR, 2017)

Medical image retrieval using deep convolutional neural network. - Adnan Qayyum; Syed Muhammad Anwar; Muhammad Awais 001; Muhammad Majid (Neurocomputing, 2017)

Cross Lingual Speech Emotion Recognition: Urdu vs. Western Languages. - Siddique Latif; Adnan Qayyum; Muhammad Usman 026; Junaid Qadir 001 (FIT, 2018)

Exploring Media Bias and Toxicity in South Asian Political Discourse. - Adnan Qayyum; Zafar Gilani; Siddique Latif; Junaid Qadir 001; Jat Singh (CoRR, 2018)

Medical Image Analysis using Convolutional Neural Networks: A Review. - Syed Muhammad Anwar; Muhammad Majid; Adnan Qayyum; Muhammad Awais 001; Majdi R. Alnowami; Muhammad Khurram Khan (J. Medical Syst., 2018)

Early Student Grade Prediction: An Empirical Study. - Zafar Iqbal; Adnan Qayyum; Siddique Latif; Junaid Qadir 001 (ICACS, 2019)

Black-box Adversarial Machine Learning Attack on Network Traffic Classification. - Muhammad Usama; Adnan Qayyum; Junaid Qadir 001; Ala I. Al-Fuqaha (IWCMC, 2019)

Using Blockchain to Rein in the New Post-Truth World and Check the Spread of Fake News. - Adnan Qayyum; Junaid Qadir 001; Muhammad Umar Janjua; Falak Sher (IT Prof., 2019)

Caveat Emptor: The Risks of Using Big Data for Human Development. - Siddique Latif; Adnan Qayyum; Muhammad Usama; Junaid Qadir 001; Andrej J. Zwitter; Muhammad Shahzad (IEEE Technol. Soc. Mag., 2019)

Single-Shot Retinal Image Enhancement Using Deep Image Priors. - Adnan Qayyum; Waqas Sultani; Fahad Shamshad; Junaid Qadir 001; Rashid Tufail (MICCAI (5), 2020)

Securing Connected & Autonomous Vehicles: Challenges Posed by Adversarial Machine Learning and the Way Forward. - Adnan Qayyum; Muhammad Usama; Junaid Qadir 001; Ala I. Al-Fuqaha (IEEE Commun. Surv. Tutorials, 2020)

Secure and Robust Machine Learning for Healthcare: A Survey. - Adnan Qayyum; Junaid Qadir 001; Muhammad Bilal 005; Ala I. Al-Fuqaha (CoRR, 2020)

Machine Learning for Predicting Epileptic Seizures Using EEG Signals: A Review. - Khansa Rasheed; Adnan Qayyum; Junaid Qadir 001; Shobi Sivathamboo; Patrick Kwan; Levin Kuhlmann; Terence J. O'Brien; Adeel Razi (CoRR, 2020)

Securing Machine Learning in the Cloud: A Systematic Review of Cloud Machine Learning Security. - Adnan Qayyum; Aneeqa Ijaz; Muhammad Usama; Waleed Iqbal; Junaid Qadir 001; Yehia Elkhatib; Ala I. Al-Fuqaha (Frontiers Big Data, 2020)

EthReview: An Ethereum-based Product Review System for Mitigating Rating Frauds. - Maryam Zulfiqar; Filza Tariq; Muhammad Umar Janjua; Adnan Noor Mian; Adnan Qayyum; Junaid Qadir 001; Falak Sher; Muhammad Hassan 001 (Comput. Secur., 2021)

Single-shot retinal image enhancement using untrained and pretrained neural networks priors integrated with analytical image priors. - Adnan Qayyum; Waqas Sultani; Fahad Shamshad; Rashid Tufail; Junaid Qadir 001 (Comput. Biol. Medicine, 2022)

Explainable, trustworthy, and ethical machine learning for healthcare: A survey. - Khansa Rasheed; Adnan Qayyum; Mohamed Ghaly; Ala I. Al-Fuqaha; Adeel Razi; Junaid Qadir 001 (Comput. Biol. Medicine, 2022)

Making federated learning robust to adversarial attacks by learning data and model association. - Adnan Qayyum; Muhammad Umar Janjua; Junaid Qadir 001 (Comput. Secur., 2022)

Security and privacy of internet of medical things: A contemporary review in the age of surveillance, botnets, and adversarial ML. - Raihan Ur Rasool; Hafiz Farooq Ahmad; Wajid Rafique; Adnan Qayyum; Junaid Qadir 001 (J. Netw. Comput. Appl., 2022)

An active learning method for diabetic retinopathy classification with uncertainty quantification. - Muhammad Ahtazaz Ahsan; Adnan Qayyum; Adeel Razi; Junaid Qadir 001 (Medical Biol. Eng. Comput., 2022)

Collaborative Federated Learning for Healthcare: Multi-Modal COVID-19 Diagnosis at the Edge. - Adnan Qayyum; Kashif Ahmad; Muhammad Ahtazaz Ahsan; Ala I. Al-Fuqaha; Junaid Qadir 001 (IEEE Open J. Comput. Soc., 2022)

SegCrop: Segmentation-based Dynamic Cropping of Endoscopic Videos to Address Label Leakage in Surgical Tool Detection. - Adnan Qayyum; Muhammad Bilal 005; Junaid Qadir 001; Massimo Caputo; Hunaid Vohra; Taofeek Akinosho; Ilhem Berrou; Faatihah Niyi-Odumosu; Michael Loizou; Anuoluwapo O. Ajayi; Sofiat Abioye (ISBI, 2023)

Can We Revitalize Interventional Healthcare with AI-XR Surgical Metaverses? - Adnan Qayyum; Muhammad Bilal 005; Muhammad Hadi; Pawel Capik; Massimo Caputo; Hunaid Vohra; Ala I. Al-Fuqaha; Junaid Qadir 001 (MetaCom, 2023)

Energy-aware Theft Detection based on IoT Energy Consumption Data. - Zunaira Nadeem; Zeeshan Aslam; Mona Jaber; Adnan Qayyum; Junaid Qadir 001 (VTC2023-Spring, 2023)

Towards secure private and trustworthy human-centric embedded machine learning: An emotion-aware facial recognition case study. - Muhammad Atif Butt; Adnan Qayyum; Hassan Ali 001; Ala I. Al-Fuqaha; Junaid Qadir 001 (Comput. Secur., 2023)

Robust Surgical Tools Detection in Endoscopic Videos with Noisy Data. - Adnan Qayyum; Hassan Ali 001; Massimo Caputo; Hunaid Vohra; Taofeek Akinosho; Sofiat Abioye; Ilhem Berrou; Pawel Capik; Junaid Qadir 001; Muhammad Bilal 005 (CoRR, 2023)

Membership Inference Attacks on DNNs using Adversarial Perturbations. - Hassan Ali 001; Adnan Qayyum; Ala I. Al-Fuqaha; Junaid Qadir 001 (CoRR, 2023)

R2S100K: Road-Region Segmentation Dataset For Semi-Supervised Autonomous Driving in the Wild. - Muhammad Atif Butt; Hassan Ali 001; Adnan Qayyum; Waqas Sultani; Ala I. Al-Fuqaha; Junaid Qadir 001 (CoRR, 2023)

Multivessel Coronary Artery Segmentation and Stenosis Localisation using Ensemble Learning. - Muhammad Bilal 005; Dinis Martinho; Reiner Sim; Adnan Qayyum; Hunaid Vohra; Massimo Caputo; Taofeek Akinosho; Sofiat Abioye; Zaheer Khan 003; Waleed Niaz; Junaid Qadir 001 (CoRR, 2023)

Quantum Computing for Healthcare: A Review. - Raihan Ur Rasool; Hafiz Farooq Ahmad; Wajid Rafique; Adnan Qayyum; Junaid Qadir 001; Zahid Anwar (Future Internet, 2023)

Privacy-preserving artificial intelligence in healthcare: Techniques and applications. - Nazish Khalid; Adnan Qayyum; Muhammad Bilal 005; Ala I. Al-Fuqaha; Junaid Qadir 001 (Comput. Biol. Medicine, 2023)

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)

Medisure: Towards Assuring Machine Learning-Based Medical Image Classifiers Using Mixup Boundary Analysis. - Adam Byfield; William Poulett; Ben Wallace; Anusha Jose; Shatakshi Tyagi; Smita Shembekar; Adnan Qayyum; Junaid Qadir 001; Muhammad Bilal 005 (ISBI, 2024)

R-CONV: An Analytical Approach for Efficient Data Reconstruction via Convolutional Gradients. - Tamer Ahmed Eltaras; Qutaibah M. Malluhi; Alessandro Savino; Stefano Di Carlo; Adnan Qayyum (WISE (5), 2024)

Chapter Three - Indoor localization technologies for activity-assisted living: Opportunities, challenges, and future directions. - Muhammad Zakir Khan; Muhammad Farooq 009; Ahmad Taha; Adnan Qayyum; Fehaid Alqahtani; Adnan Nadeem AlHassan; Kamran Arshad; Khaled Assaleh 001; Shuja Ansari; Muhammad Usman 003; Muhammad Ali Imran 001; Qammer H. Abbasi (Adv. Comput., 2024)

R-CONV: An Analytical Approach for Efficient Data Reconstruction via Convolutional Gradients. - Tamer Ahmed Eltaras; Qutaibah M. Malluhi; Alessandro Savino; Stefano Di Carlo; Adnan Qayyum; Junaid Qadir 001 (CoRR, 2024)

Privacy preservation in Artificial Intelligence and Extended Reality (AI-XR) metaverses: A survey. - Mahdi Alkaeed; Adnan Qayyum; Junaid Qadir 001 (J. Netw. Comput. Appl., 2024)

Medicine's New Rhythm: Harnessing Acoustic Sensing via the Internet of Audio Things for Healthcare. - Farrukh Pervez; Moazzam Shoukat; Varsha Suresh; Muhammad Umar Bin Farooq; Moid Sandhu; Adnan Qayyum; Muhammad Usama; Anna M. Girardi; Siddique Latif; Junaid Qadir 001 (IEEE Open J. Comput. Soc., 2024)

Secure and Trustworthy Artificial Intelligence-extended Reality (AI-XR) for Metaverses. - Adnan Qayyum; Muhammad Atif Butt; Hassan Ali 001; Muhammad Usman 003; Osama Halabi; Ala I. Al-Fuqaha; Qammer H. Abbasi; Muhammad Ali Imran 001; Junaid Qadir 001 (ACM Comput. Surv., 2024)

Adversarial Machine Learning for Social Good: Reframing the Adversary as an Ally. - Shawqi Al-Maliki; Adnan Qayyum; Hassan Ali 001; Mohamed M. Abdallah 001; Junaid Qadir 001; Dinh Thai Hoang; Dusit Niyato; Ala I. Al-Fuqaha (IEEE Trans. Artif. Intell., 2024)

AI-enhanced interview simulation in the metaverse: Transforming professional skills training through VR and generative conversational AI. - Abdullah Bin Nofal; Hassan Ali 001; Muhammad Hadi; Aizaz Ahmad; Adnan Qayyum; Aditya Johri; Ala I. Al-Fuqaha; Junaid Qadir 001 (Comput. Educ. Artif. Intell., 2025)

Robust Encrypted Inference in Deep Learning: A Pathway to Secure Misinformation Detection. - Hassan Ali 001; Rana Tallal Javed; Adnan Qayyum; Amer AlGhadhban; Meshari Alazmi; Ahmad Alzamil; Khaled Al-Utaibi; Junaid Qadir 001 (IEEE Trans. Dependable Secur. Comput., 2025)

Open Foundation Models in Healthcare: Challenges, Paradoxes, and Opportunities with GenAI Driven Personalized Prescription. - Mahdi Alkaeed; Sofiat Abioye; Adnan Qayyum; Yosra Magdi Mekki; Ilhem Berrou; Mohamed M. Abdallah 001; Ala I. Al-Fuqaha; Muhammad Bilal 005; Junaid Qadir 001 (CoRR, 2025)

TEMSET-24K: Densely Annotated Dataset for Indexing Multipart Endoscopic Videos using Surgical Timeline Segmentation. - Muhammad Bilal 005; Mahmood Alam; Deepa Bapu; Stephan Korsgen; Neeraj Lal; Simon Bach; Amir M. Hajivanand; Muhammed Ali; Kamran Soomro; Iqbal Qasim; Pawel Capik; Aslam Khan; et al. (CoRR, 2025)

Surgical Scene Understanding in the Era of Foundation AI Models: A Comprehensive Review. - Ufaq Khan; Umair Nawaz; Adnan Qayyum; Shazad Ashraf; Muhammad Bilal 005; Junaid Qadir 001 (CoRR, 2025)

R2S100K: Road-Region Segmentation Dataset for Semi-supervised Autonomous Driving in the Wild. - Muhammad Atif Butt; Hassan Ali 001; Adnan Qayyum; Waqas Sultani; Ala I. Al-Fuqaha; Junaid Qadir 001 (Int. J. Comput. Vis., 2025)

R-CONV++: uncovering privacy vulnerabilities through analytical gradient inversion attacks. - Tamer Ahmed Eltaras; Qutaibah M. Malluhi; Alessandro Savino; Stefano Di Carlo; Adnan Qayyum (Computing, 2025)