SSCNets: A Selective Sobel Convolution-based Technique to Enhance the Robustness of Deep Neural Networks against Security Attacks. - Hammad Tariq; Hassan Ali 001; Muhammad Abdullah Hanif; Faiq Khalid; Semeen Rehman; Rehan Ahmed; Muhammad Shafique 001 (CoRR, 2018)

QuSecNets: Quantization-based Defense Mechanism for Securing Deep Neural Network against Adversarial Attacks. - Faiq Khalid; Hassan Ali 001; Hammad Tariq; Muhammad Abdullah Hanif; Semeen Rehman; Rehan Ahmed; Muhammad Shafique 001 (IOLTS, 2019)

RED-Attack: Resource Efficient Decision based Attack for Machine Learning. - Faiq Khalid; Hassan Ali 001; Muhammad Abdullah Hanif; Semeen Rehman; Rehan Ahmed; Muhammad Shafique 001 (CoRR, 2019)

FaDec: A Fast Decision-based Attack for Adversarial Machine Learning. - Faiq Khalid; Hassan Ali 001; Muhammad Abdullah Hanif; Semeen Rehman; Rehan Ahmed; Muhammad Shafique 001 (IJCNN, 2020)

HaS-Nets: A Heal and Select Mechanism to Defend DNNs Against Backdoor Attacks for Data Collection Scenarios. - Hassan Ali 001; Surya Nepal; Salil S. Kanhere; Sanjay Jha 001 (CoRR, 2020)

SSCNets: Robustifying DNNs using Secure Selective Convolutional Filters. - Hassan Ali 001; Faiq Khalid; Hammad Tariq; Muhammad Abdullah Hanif; Rehan Ahmed; Semeen Rehman (IEEE Des. Test, 2020)

All Your Fake Detector are Belong to Us: Evaluating Adversarial Robustness of Fake-News Detectors Under Black-Box Settings. - Hassan Ali 001; Muhammad Suleman Khan; Amer AlGhadhban; Meshari Alazmi; Ahmad Alzamil; Khaled Abdul-Aziz Al-Utaibi; Junaid Qadir 001 (IEEE Access, 2021)

Tamp-X: Attacking explainable natural language classifiers through tampered activations. - Hassan Ali 001; Muhammad Suleman Khan; Ala I. Al-Fuqaha; Junaid Qadir 001 (Comput. Secur., 2022)

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)

Con-Detect: Detecting adversarially perturbed natural language inputs to deep classifiers through holistic analysis. - Hassan Ali 001; Muhammad Suleman Khan; Amer AlGhadhban; Meshari Alazmi; Ahmed Alzamil; Khaled Al-Utaibi; Junaid Qadir 001 (Comput. Secur., 2023)

Monitoring of large-scale forest restoration: Evidence of vegetation recovery and reversing chronic ecosystem degradation in the mountain region of Pakistan. - Sawaid Abbas; Faisal Mueen Qamer; Hassan Ali 001; Muhammad Usman 003; Ajaz Ahmad; Aneel Salman; Aqeela Mobeen Akhter (Ecol. Informatics, 2023)

Adversarially Guided Stateful Defense Against Backdoor Attacks in Federated Deep Learning. - Hassan Ali 001; Surya Nepal; Salil S. Kanhere; Sanjay K. Jha (ACSAC, 2024)

Consistent Valid Physically-Realizable Adversarial Attack Against Crowd-Flow Prediction Models. - Hassan Ali 001; Muhammad Atif Butt; Fethi Filali; Ala I. Al-Fuqaha; Junaid Qadir 001 (IEEE Trans. Intell. Transp. Syst., 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)

TOSense: We Read, You Click. - Xinzhang Chen; Hassan Ali 001; Arash Shaghaghi; Salil S. Kanhere; Sanjay K. Jha (DSN-S, 2025)

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)

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)