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Adnan Qayyum
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2020 – today
- 2024
- [j23]Muhammad Zakir Khan, Muhammad Farooq, Ahmad Taha, Adnan Qayyum, Fehaid Alqahtani, Adnan Nadeem AlHassan, Kamran Arshad, Khaled Assaleh, Shuja Ansari, Muhammad Usman
, Muhammad Ali Imran, Qammer H. Abbasi:
Chapter Three - Indoor localization technologies for activity-assisted living: Opportunities, challenges, and future directions. Adv. Comput. 133: 59-98 (2024) - [j22]Adnan Qayyum
Secure and Trustworthy Artificial Intelligence-extended Reality (AI-XR) for Metaverses. ACM Comput. Surv. 56(7): 170:1-170:38 (2024) - [j21]Mahdi Alkaeed
Privacy preservation in Artificial Intelligence and Extended Reality (AI-XR) metaverses: A survey. J. Netw. Comput. Appl. 231: 103989 (2024) - [j20]Farrukh Pervez
Medicine's New Rhythm: Harnessing Acoustic Sensing via the Internet of Audio Things for Healthcare. IEEE Open J. Comput. Soc. 5: 491-510 (2024) - [j19]Shawqi Al-Maliki
Adversarial Machine Learning for Social Good: Reframing the Adversary as an Ally. IEEE Trans. Artif. Intell. 5(9): 4322-4343 (2024) - [c8]Adam Byfield, William Poulett, Ben Wallace, Anusha Jose, Shatakshi Tyagi, Smita Shembekar, Adnan Qayyum, Junaid Qadir, Muhammad Bilal:
Medisure: Towards Assuring Machine Learning-Based Medical Image Classifiers Using Mixup Boundary Analysis. ISBI 2024: 1-4 - [i21]Tamer Ahmed Eltaras, Qutaibah M. Malluhi, Alessandro Savino, Stefano Di Carlo, Adnan Qayyum, Junaid Qadir:
R-CONV: An Analytical Approach for Efficient Data Reconstruction via Convolutional Gradients. CoRR abs/2406.04227 (2024) - 2023
- [j18]Nazish Khalid, Adnan Qayyum
Privacy-preserving artificial intelligence in healthcare: Techniques and applications. Comput. Biol. Medicine 158: 106848 (2023) - [j17]Muhammad Atif Butt
Towards secure private and trustworthy human-centric embedded machine learning: An emotion-aware facial recognition case study. Comput. Secur. 125: 103058 (2023) - [j16]Asad Ali, Inaam Ilahi
A systematic review of federated learning incentive mechanisms and associated security challenges. Comput. Sci. Rev. 50: 100593 (2023) - [j15]Raihan Ur Rasool
Quantum Computing for Healthcare: A Review. Future Internet 15(3): 94 (2023) - [j14]Adnan Qayyum
Untrained Neural Network Priors for Inverse Imaging Problems: A Survey. IEEE Trans. Pattern Anal. Mach. Intell. 45(5): 6511-6536 (2023) - [c7]Adnan Qayyum, Muhammad Bilal, Junaid Qadir, Massimo Caputo, Hunaid Vohra, Taofeek Akinosho, Ilhem Berrou, Faatihah Niyi-Odumosu, Michael Loizou
SegCrop: Segmentation-based Dynamic Cropping of Endoscopic Videos to Address Label Leakage in Surgical Tool Detection. ISBI 2023: 1-4 - [c6]Adnan Qayyum, Muhammad Bilal, Muhammad Hadi, Pawel Capik, Massimo Caputo, Hunaid Vohra, Ala I. Al-Fuqaha, Junaid Qadir:
Can We Revitalize Interventional Healthcare with AI-XR Surgical Metaverses? MetaCom 2023: 496-503 - [c5]Zunaira Nadeem, Zeeshan Aslam, Mona Jaber, Adnan Qayyum, Junaid Qadir:
Energy-aware Theft Detection based on IoT Energy Consumption Data. VTC2023-Spring 2023: 1-6 - [i20]Adnan Qayyum, Muhammad Bilal, Muhammad Hadi, Pawel Capik, Massimo Caputo, Hunaid Vohra, Ala I. Al-Fuqaha, Junaid Qadir:
Can We Revitalize Interventional Healthcare with AI-XR Surgical Metaverses? CoRR abs/2304.00007 (2023) - [i19]Adnan Qayyum, Hassan Ali, Massimo Caputo, Hunaid Vohra, Taofeek Akinosho, Sofiat Abioye, Ilhem Berrou, Pawel Capik, Junaid Qadir, Muhammad Bilal:
Robust Surgical Tools Detection in Endoscopic Videos with Noisy Data. CoRR abs/2307.01232 (2023) - [i18]Hassan Ali, Adnan Qayyum, Ala I. Al-Fuqaha, Junaid Qadir:
Membership Inference Attacks on DNNs using Adversarial Perturbations. CoRR abs/2307.05193 (2023) - [i17]Muhammad Atif Butt, Hassan Ali, Adnan Qayyum, Waqas Sultani, Ala I. Al-Fuqaha, Junaid Qadir:
R2S100K: Road-Region Segmentation Dataset For Semi-Supervised Autonomous Driving in the Wild. CoRR abs/2308.06393 (2023) - [i16]Shawqi Al-Maliki, Adnan Qayyum, Hassan Ali, Mohamed M. Abdallah, Junaid Qadir, Dinh Thai Hoang, Dusit Niyato, Ala I. Al-Fuqaha:
Adversarial Machine Learning for Social Good: Reframing the Adversary as an Ally. CoRR abs/2310.03614 (2023) - [i15]Mahdi Alkaeed, Adnan Qayyum, Junaid Qadir:
Privacy Preservation in Artificial Intelligence and Extended Reality (AI-XR) Metaverses: A Survey. CoRR abs/2310.10665 (2023) - [i14]Muhammad Bilal, Dinis Martinho, Reiner Sim, Adnan Qayyum, Hunaid Vohra, Massimo Caputo, Taofeek Akinosho, Sofiat Abioye, Zaheer Khan, Waleed Niaz, Junaid Qadir:
Multivessel Coronary Artery Segmentation and Stenosis Localisation using Ensemble Learning. CoRR abs/2310.17954 (2023) - [i13]Adam Byfield, William Poulett, Ben Wallace, Anusha Jose, Shatakshi Tyagi, Smita Shembekar, Adnan Qayyum, Junaid Qadir, Muhammad Bilal:
MedISure: Towards Assuring Machine Learning-based Medical Image Classifiers using Mixup Boundary Analysis. CoRR abs/2311.13978 (2023) - 2022
- [j13]Adnan Qayyum
Single-shot retinal image enhancement using untrained and pretrained neural networks priors integrated with analytical image priors. Comput. Biol. Medicine 148: 105879 (2022) - [j12]Khansa Rasheed
Explainable, trustworthy, and ethical machine learning for healthcare: A survey. Comput. Biol. Medicine 149: 106043 (2022) - [j11]Adnan Qayyum
Making federated learning robust to adversarial attacks by learning data and model association. Comput. Secur. 121: 102827 (2022) - [j10]Raihan Ur Rasool, Hafiz Farooq Ahmad
Security and privacy of internet of medical things: A contemporary review in the age of surveillance, botnets, and adversarial ML. J. Netw. Comput. Appl. 201: 103332 (2022) - [j9]Muhammad Ahtazaz Ahsan
An active learning method for diabetic retinopathy classification with uncertainty quantification. Medical Biol. Eng. Comput. 60(10): 2797-2811 (2022) - [j8]Adnan Qayyum
Collaborative Federated Learning for Healthcare: Multi-Modal COVID-19 Diagnosis at the Edge. IEEE Open J. Comput. Soc. 3: 172-184 (2022) - [i12]Adnan Qayyum, Muhammad Atif Butt, Hassan Ali, Muhammad Usman, Osama Halabi, Ala I. Al-Fuqaha, Qammer H. Abbasi, Muhammad Ali Imran, Junaid Qadir:
Secure and Trustworthy Artificial Intelligence-Extended Reality (AI-XR) for Metaverses. CoRR abs/2210.13289 (2022) - 2021
- [j7]Maryam Zulfiqar
EthReview: An Ethereum-based Product Review System for Mitigating Rating Frauds. Comput. Secur. 100: 102094 (2021) - [i11]Adnan Qayyum, Kashif Ahmad, Muhammad Ahtazaz Ahsan, Ala I. Al-Fuqaha, Junaid Qadir:
Collaborative Federated Learning For Healthcare: Multi-Modal COVID-19 Diagnosis at the Edge. CoRR abs/2101.07511 (2021) - 2020
- [j6]Adnan Qayyum
Securing Connected & Autonomous Vehicles: Challenges Posed by Adversarial Machine Learning and the Way Forward. IEEE Commun. Surv. Tutorials 22(2): 998-1026 (2020) - [j5]Adnan Qayyum, Aneeqa Ijaz, Muhammad Usama
Securing Machine Learning in the Cloud: A Systematic Review of Cloud Machine Learning Security. Frontiers Big Data 3: 587139 (2020) - [c4]Adnan Qayyum, Waqas Sultani
Single-Shot Retinal Image Enhancement Using Deep Image Priors. MICCAI (5) 2020: 636-646 - [i10]Adnan Qayyum, Junaid Qadir, Muhammad Bilal, Ala I. Al-Fuqaha:
Secure and Robust Machine Learning for Healthcare: A Survey. CoRR abs/2001.08103 (2020) - [i9]Khansa Rasheed, Adnan Qayyum, Junaid Qadir, Shobi Sivathamboo, Patrick Kwan, Levin Kuhlmann, Terence J. O'Brien, Adeel Razi:
Machine Learning for Predicting Epileptic Seizures Using EEG Signals: A Review. CoRR abs/2002.01925 (2020) - [i8]Muhammad Ahtazaz Ahsan, Adnan Qayyum, Junaid Qadir, Adeel Razi:
An Active Learning Method for Diabetic Retinopathy Classification with Uncertainty Quantification. CoRR abs/2012.13325 (2020)
2010 – 2019
- 2019
- [j4]Adnan Qayyum, Junaid Qadir
Using Blockchain to Rein in the New Post-Truth World and Check the Spread of Fake News. IT Prof. 21(4): 16-24 (2019) - [j3]Siddique Latif
Caveat Emptor: The Risks of Using Big Data for Human Development. IEEE Technol. Soc. Mag. 38(3): 82-90 (2019) - [c3]Zafar Iqbal, Adnan Qayyum, Siddique Latif, Junaid Qadir
Early Student Grade Prediction: An Empirical Study. ICACS 2019: 1-7 - [c2]Muhammad Usama
Black-box Adversarial Machine Learning Attack on Network Traffic Classification. IWCMC 2019: 84-89 - [i7]Adnan Qayyum, Junaid Qadir, Muhammad Umar Janjua, Falak Sher:
Using Blockchain to Rein in The New Post-Truth World and Check The Spread of Fake News. CoRR abs/1903.11899 (2019) - [i6]Siddique Latif, Adnan Qayyum, Muhammad Usama, Junaid Qadir, Andrej J. Zwitter, Muhammad Shahzad:
Caveat emptor: the risks of using big data for human development. CoRR abs/1905.00493 (2019) - [i5]Adnan Qayyum, Muhammad Usama, Junaid Qadir, Ala I. Al-Fuqaha:
Securing Connected & Autonomous Vehicles: Challenges Posed by Adversarial Machine Learning and The Way Forward. CoRR abs/1905.12762 (2019) - 2018
- [j2]Syed Muhammad Anwar
Medical Image Analysis using Convolutional Neural Networks: A Review. J. Medical Syst. 42(11): 226 (2018) - [c1]Siddique Latif, Adnan Qayyum, Muhammad Usman, Junaid Qadir
Cross Lingual Speech Emotion Recognition: Urdu vs. Western Languages. FIT 2018: 88-93 - [i4]Adnan Qayyum, Zafar Gilani, Siddique Latif, Junaid Qadir, Jat Singh:
Exploring Media Bias and Toxicity in South Asian Political Discourse. CoRR abs/1811.06693 (2018) - [i3]Siddique Latif, Adnan Qayyum, Muhammad Usman, Junaid Qadir:
Cross Lingual Speech Emotion Recognition: Urdu vs. Western Languages. CoRR abs/1812.10411 (2018) - 2017
- [j1]Adnan Qayyum, Syed Muhammad Anwar
Medical image retrieval using deep convolutional neural network. Neurocomputing 266: 8-20 (2017) - [i2]Adnan Qayyum, Syed Muhammad Anwar, Muhammad Awais, Muhammad Majid:
Medical Image Retrieval using Deep Convolutional Neural Network. CoRR abs/1703.08472 (2017) - [i1]Adnan Qayyum, Syed Muhammad Anwar, Muhammad Majid, Muhammad Awais, Majdi R. Alnowami:
Medical Image Analysis using Convolutional Neural Networks: A Review. CoRR abs/1709.02250 (2017)
Coauthor Index
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last updated on 2024-10-23 21:25 CEST by the dblp team
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