Qusecnets: Quantization-based defense mechanism for securing deep neural network against adversarial attacks F Khalid, H Ali, H Tariq, MA Hanif, S Rehman, R Ahmed, M Shafique 2019 IEEE 25th International Symposium on On-Line Testing and Robust System …, 2019 | 45 | 2019 |
All your fake detector are belong to us: evaluating adversarial robustness of fake-news detectors under black-box settings H Ali, MS Khan, A AlGhadhban, M Alazmi, A Alzamil, K Al-Utaibi, J Qadir IEEE Access 9, 81678-81692, 2021 | 41 | 2021 |
Fadec: A fast decision-based attack for adversarial machine learning F Khalid, H Ali, MA Hanif, S Rehman, R Ahmed, M Shafique 2020 International Joint Conference on Neural Networks (IJCNN), 1-8, 2020 | 37* | 2020 |
Spie-aapm-nci breastpathq challenge: an image analysis challenge for quantitative tumor cellularity assessment in breast cancer histology images following neoadjuvant treatment N Petrick, S Akbar, KH Cha, S Nofech-Mozes, B Sahiner, MA Gavrielides, ... Journal of Medical Imaging 8 (3), 034501-034501, 2021 | 25 | 2021 |
Towards secure private and trustworthy human-centric embedded machine learning: An emotion-aware facial recognition case study MA Butt, A Qayyum, H Ali, A Al-Fuqaha, J Qadir Computers & Security 125, 103058, 2023 | 18 | 2023 |
Sscnets: Robustifying dnns using secure selective convolutional filters H Ali, F Khalid, HA Tariq, MA Hanif, R Ahmed, S Rehman IEEE Design & Test 37 (2), 58-65, 2019 | 16* | 2019 |
Secure and trustworthy artificial intelligence-extended reality (AI-XR) for metaverses A Qayyum, MA Butt, H Ali, M Usman, O Halabi, A Al-Fuqaha, QH Abbasi, ... ACM Computing Surveys, 2023 | 15 | 2023 |
Tamp-X: Attacking explainable natural language classifiers through tampered activations H Ali, MS Khan, A Al-Fuqaha, J Qadir Computers & Security 120, 102791, 2022 | 13 | 2022 |
Has-nets: A heal and select mechanism to defend dnns against backdoor attacks for data collection scenarios H Ali, S Nepal, SS Kanhere, S Jha arXiv preprint arXiv:2012.07474, 2020 | 9 | 2020 |
SPAM-das: Secure and privacy-aware misinformation detection as a service H Ali, RT Javed, A Qayyum, A AlGhadhban, M Alazmi, A Alzamil, ... Authorea Preprints, 2023 | 8 | 2023 |
Con-detect: Detecting adversarially perturbed natural language inputs to deep classifiers through holistic analysis H Ali, MS Khan, A AlGhadhban, M Alazmi, A Alzamil, K Al-Utaibi, J Qadir Computers & Security 132, 103367, 2023 | 6 | 2023 |
Consistent Valid Physically-Realizable Adversarial Attack against Crowd-flow Prediction Models H Ali, MA Butt, F Filali, A Al-Fuqaha, J Qadir IEEE Transactions on Intelligent Transportation Systems, 2023 | 3 | 2023 |
Adversarial Machine Learning for Social Good: Reframing the Adversary as an Ally S Al-Maliki, A Qayyum, H Ali, M Abdallah, J Qadir, DT Hoang, D Niyato, ... IEEE Transactions on Artificial Intelligence, 2024 | 2 | 2024 |
Membership Inference Attacks on DNNs using Adversarial Perturbations H Ali, A Qayyum, A Al-Fuqaha, J Qadir arXiv preprint arXiv:2307.05193, 2023 | 1 | 2023 |
R2S100K: Road-Region Segmentation Dataset For Semi-Supervised Autonomous Driving in the Wild MA Butt, H Ali, A Qayyum, W Sultani, A Al-Fuqaha, J Qadir arXiv preprint arXiv:2308.06393, 2023 | | 2023 |
Robust Surgical Tools Detection in Endoscopic Videos with Noisy Data A Qayyum, H Ali, M Caputo, H Vohra, T Akinosho, S Abioye, I Berrou, ... arXiv preprint arXiv:2307.01232, 2023 | | 2023 |