Adnan Qayyum
Orcid: 0000-0002-6732-7601
According to our database1,
Adnan Qayyum
authored at least 41 papers
between 2017 and 2024.
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Bibliography
2024
IEEE Trans. Artif. Intell., September, 2024
Secure and Trustworthy Artificial Intelligence-extended Reality (AI-XR) for Metaverses.
ACM Comput. Surv., July, 2024
Medicine's New Rhythm: Harnessing Acoustic Sensing via the Internet of Audio Things for Healthcare.
IEEE Open J. Comput. Soc., 2024
Privacy preservation in Artificial Intelligence and Extended Reality (AI-XR) metaverses: A survey.
J. Netw. Comput. Appl., 2024
R-CONV: An Analytical Approach for Efficient Data Reconstruction via Convolutional Gradients.
CoRR, 2024
Chapter Three - Indoor localization technologies for activity-assisted living: Opportunities, challenges, and future directions.
Adv. Comput., 2024
R-CONV: An Analytical Approach for Efficient Data Reconstruction via Convolutional Gradients.
Proceedings of the Web Information Systems Engineering - WISE 2024, 2024
Medisure: Towards Assuring Machine Learning-Based Medical Image Classifiers Using Mixup Boundary Analysis.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024
2023
A systematic review of federated learning incentive mechanisms and associated security challenges.
Comput. Sci. Rev., November, 2023
IEEE Trans. Pattern Anal. Mach. Intell., May, 2023
Privacy-preserving artificial intelligence in healthcare: Techniques and applications.
Comput. Biol. Medicine, May, 2023
Multivessel Coronary Artery Segmentation and Stenosis Localisation using Ensemble Learning.
CoRR, 2023
R2S100K: Road-Region Segmentation Dataset For Semi-Supervised Autonomous Driving in the Wild.
CoRR, 2023
Towards secure private and trustworthy human-centric embedded machine learning: An emotion-aware facial recognition case study.
Comput. Secur., 2023
Proceedings of the 97th IEEE Vehicular Technology Conference, 2023
Proceedings of the IEEE International Conference on Metaverse Computing, 2023
SegCrop: Segmentation-based Dynamic Cropping of Endoscopic Videos to Address Label Leakage in Surgical Tool Detection.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
2022
Collaborative Federated Learning for Healthcare: Multi-Modal COVID-19 Diagnosis at the Edge.
IEEE Open J. Comput. Soc., 2022
An active learning method for diabetic retinopathy classification with uncertainty quantification.
Medical Biol. Eng. Comput., 2022
Security and privacy of internet of medical things: A contemporary review in the age of surveillance, botnets, and adversarial ML.
J. Netw. Comput. Appl., 2022
Making federated learning robust to adversarial attacks by learning data and model association.
Comput. Secur., 2022
Comput. Biol. Medicine, 2022
Single-shot retinal image enhancement using untrained and pretrained neural networks priors integrated with analytical image priors.
Comput. Biol. Medicine, 2022
2021
Comput. Secur., 2021
2020
Securing Machine Learning in the Cloud: A Systematic Review of Cloud Machine Learning Security.
Frontiers Big Data, 2020
CoRR, 2020
Securing Connected & Autonomous Vehicles: Challenges Posed by Adversarial Machine Learning and the Way Forward.
IEEE Commun. Surv. Tutorials, 2020
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
2019
IEEE Technol. Soc. Mag., 2019
Using Blockchain to Rein in the New Post-Truth World and Check the Spread of Fake News.
IT Prof., 2019
Proceedings of the 15th International Wireless Communications & Mobile Computing Conference, 2019
Proceedings of the 2nd International Conference on Advancements in Computational Sciences, 2019
2018
J. Medical Syst., 2018
Proceedings of the 2018 International Conference on Frontiers of Information Technology, 2018
2017
Neurocomputing, 2017