Hassan Ali

According to our database, Hassan Ali authored at least 16 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

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

Shawqi Al-Maliki, Adnan Qayyum, Hassan Ali, Mohamed M. Abdallah, Junaid Qadir, Dinh Thai Hoang, Dusit Niyato, Ala I. Al-Fuqaha

IEEE Trans. Artif. Intell., September, 2024

Secure and Trustworthy Artificial Intelligence-extended Reality (AI-XR) for Metaverses.

Adnan Qayyum, Muhammad Atif Butt, Hassan Ali, Muhammad Usman, Osama Halabi, Ala I. Al-Fuqaha, Qammer H. Abbasi, Muhammad Ali Imran, Junaid Qadir

ACM Comput. Surv., July, 2024

Consistent Valid Physically-Realizable Adversarial Attack Against Crowd-Flow Prediction Models.

Hassan Ali, Muhammad Atif Butt, Fethi Filali, Ala I. Al-Fuqaha, Junaid Qadir

IEEE Trans. Intell. Transp. Syst., June, 2024

2023

Con-Detect: Detecting adversarially perturbed natural language inputs to deep classifiers through holistic analysis.

Hassan Ali, Muhammad Suleman Khan, Amer AlGhadhban, Meshari Alazmi, Ahmed Alzamil, Khaled Al-Utaibi, Junaid Qadir

Comput. Secur., September, 2023

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

Muhammad Atif Butt, Hassan Ali, Adnan Qayyum, Waqas Sultani, Ala I. Al-Fuqaha, Junaid Qadir

CoRR, 2023

Membership Inference Attacks on DNNs using Adversarial Perturbations.

Hassan Ali, Adnan Qayyum, Ala I. Al-Fuqaha, Junaid Qadir

CoRR, 2023

Robust Surgical Tools Detection in Endoscopic Videos with Noisy Data.

Adnan Qayyum, Hassan Ali, Massimo Caputo, Hunaid Vohra, Taofeek Akinosho, Sofiat Abioye, Ilhem Berrou, Pawel Capik, Junaid Qadir, Muhammad Bilal

CoRR, 2023

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

Muhammad Atif Butt, Adnan Qayyum, Hassan Ali, Ala I. Al-Fuqaha, Junaid Qadir

Comput. Secur., 2023

2022

Tamp-X: Attacking explainable natural language classifiers through tampered activations.

Hassan Ali, Muhammad Suleman Khan, Ala I. Al-Fuqaha, Junaid Qadir

Comput. Secur., 2022

2021

All Your Fake Detector are Belong to Us: Evaluating Adversarial Robustness of Fake-News Detectors Under Black-Box Settings.

Hassan Ali, Muhammad Suleman Khan, Amer AlGhadhban, Meshari Alazmi, Ahmad Alzamil, Khaled Abdul-Aziz Al-Utaibi, Junaid Qadir

IEEE Access, 2021

2020

SSCNets: Robustifying DNNs using Secure Selective Convolutional Filters.

Hassan Ali, Faiq Khalid, Hammad Tariq, Muhammad Abdullah Hanif, Rehan Ahmed, Semeen Rehman

IEEE Des. Test, 2020

HaS-Nets: A Heal and Select Mechanism to Defend DNNs Against Backdoor Attacks for Data Collection Scenarios.

Hassan Ali, Surya Nepal, Salil S. Kanhere, Sanjay Jha

CoRR, 2020

FaDec: A Fast Decision-based Attack for Adversarial Machine Learning.

Faiq Khalid, Hassan Ali, Muhammad Abdullah Hanif, Semeen Rehman, Rehan Ahmed, Muhammad Shafique

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

2019

RED-Attack: Resource Efficient Decision based Attack for Machine Learning.

Faiq Khalid, Hassan Ali, Muhammad Abdullah Hanif, Semeen Rehman, Rehan Ahmed, Muhammad Shafique

CoRR, 2019

QuSecNets: Quantization-based Defense Mechanism for Securing Deep Neural Network against Adversarial Attacks.

Faiq Khalid, Hassan Ali, Hammad Tariq, Muhammad Abdullah Hanif, Semeen Rehman, Rehan Ahmed, Muhammad Shafique

Proceedings of the 25th IEEE International Symposium on On-Line Testing and Robust System Design, 2019

2018

SSCNets: A Selective Sobel Convolution-based Technique to Enhance the Robustness of Deep Neural Networks against Security Attacks.

Hammad Tariq, Hassan Ali, Muhammad Abdullah Hanif, Faiq Khalid, Semeen Rehman, Rehan Ahmed, Muhammad Shafique

CoRR, 2018