Adnan Qayyum

Orcid: 0000-0002-6732-7601

According to our database1, Adnan Qayyum authored at least 38 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2024
Secure and Trustworthy Artificial Intelligence-extended Reality (AI-XR) for Metaverses.
ACM Comput. Surv., July, 2024

Chapter Three - Indoor localization technologies for activity-assisted living: Opportunities, challenges, and future directions.
Adv. Comput., 2024

2023
A systematic review of federated learning incentive mechanisms and associated security challenges.
Comput. Sci. Rev., November, 2023

Untrained Neural Network Priors for Inverse Imaging Problems: A Survey.
IEEE Trans. Pattern Anal. Mach. Intell., May, 2023

Privacy-preserving artificial intelligence in healthcare: Techniques and applications.
Comput. Biol. Medicine, May, 2023

Quantum Computing for Healthcare: A Review.
Future Internet, March, 2023

MedISure: Towards Assuring Machine Learning-based Medical Image Classifiers using Mixup Boundary Analysis.
CoRR, 2023

Multivessel Coronary Artery Segmentation and Stenosis Localisation using Ensemble Learning.
CoRR, 2023

Privacy Preservation in Artificial Intelligence and Extended Reality (AI-XR) Metaverses: A Survey.
CoRR, 2023

Adversarial Machine Learning for Social Good: Reframing the Adversary as an Ally.
CoRR, 2023

R2S100K: Road-Region Segmentation Dataset For Semi-Supervised Autonomous Driving in the Wild.
CoRR, 2023

Membership Inference Attacks on DNNs using Adversarial Perturbations.
CoRR, 2023

Robust Surgical Tools Detection in Endoscopic Videos with Noisy Data.
CoRR, 2023

Towards secure private and trustworthy human-centric embedded machine learning: An emotion-aware facial recognition case study.
Comput. Secur., 2023

Energy-aware Theft Detection based on IoT Energy Consumption Data.
Proceedings of the 97th IEEE Vehicular Technology Conference, 2023

Can We Revitalize Interventional Healthcare with AI-XR Surgical Metaverses?
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

Explainable, trustworthy, and ethical machine learning for healthcare: A survey.
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
EthReview: An Ethereum-based Product Review System for Mitigating Rating Frauds.
Comput. Secur., 2021

2020
Securing Machine Learning in the Cloud: A Systematic Review of Cloud Machine Learning Security.
Frontiers Big Data, 2020

Machine Learning for Predicting Epileptic Seizures Using EEG Signals: A Review.
CoRR, 2020

Secure and Robust Machine Learning for Healthcare: A Survey.
CoRR, 2020

Securing Connected & Autonomous Vehicles: Challenges Posed by Adversarial Machine Learning and the Way Forward.
IEEE Commun. Surv. Tutorials, 2020

Single-Shot Retinal Image Enhancement Using Deep Image Priors.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

2019
Caveat Emptor: The Risks of Using Big Data for Human Development.
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

Black-box Adversarial Machine Learning Attack on Network Traffic Classification.
Proceedings of the 15th International Wireless Communications & Mobile Computing Conference, 2019

Early Student Grade Prediction: An Empirical Study.
Proceedings of the 2nd International Conference on Advancements in Computational Sciences, 2019

2018
Medical Image Analysis using Convolutional Neural Networks: A Review.
J. Medical Syst., 2018

Exploring Media Bias and Toxicity in South Asian Political Discourse.
CoRR, 2018

Cross Lingual Speech Emotion Recognition: Urdu vs. Western Languages.
Proceedings of the 2018 International Conference on Frontiers of Information Technology, 2018

2017
Medical image retrieval using deep convolutional neural network.
Neurocomputing, 2017

Medical Image Analysis using Convolutional Neural Networks: A Review.
CoRR, 2017


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