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Hassan Ali 0001
Person information
- affiliation: Information Technology University, ITU, IHSAN Lab, Lahore, Pakistan
- affiliation (former): National University of Sciences and Technology, School of Electrical Engineering and Computer Sciences, Pakistan
Other persons with the same name
- Hassan Ali — disambiguation page
- Hassan Ali 0002 — University of Newcastle, School of Electrical Engineering and Computer Science, Faculty of Engineering and Built Environment, Callaghan, NSW, Australia (and 3 more)
- Hassan Ali 0003 — La Trobe University, Department of Computer Science and Computer Engineering, Bundoora, VIC, Australia
- Hassan Ali 0004 — Cairo University, Faculty of Engineering, Giza, Egypt
- Hassan Ali 0005 — University of Hamburg, Knowledge Technology, Department of Informatics, Germany
- Hassan Ali 0006 — Institute of Space Technology, Islamabad, Pakistan
- Hassan Ali 0007 — University of Engineering and Technology, Department of Mechanical Engineering, Lahore, Pakistan
Other persons with a similar name
- Mohd. Hasan Ali (aka: Mohd. Hassan Ali)
- Zainab Hassan Ali
- Hassan Artail (aka: Hassan A. Artail, Hassan Ali Artail) — American University of Beirut, Lebanon
- Hassan A. Babaie (aka: Hassan Ali Babaie)
- Hossam A. H. Fahmy (aka: Hossam Ali Hassan Fahmy, Hossam Aly Hassan Fahmy)
- Ali Hassan — disambiguation page
- Ali H. Hassan
- Ali Hassan 0001 — National University of Sciences and Technology, Department of Computer and Software Engineering, Islamabad, Pakistan (and 2 more)
- Syed Ali Hassan 0001 (aka: Ali Hassan 0002) — National University of Sciences and Technology, School of Electrical Engineering and Computer Science, Islamabad, Pakistan (and 1 more)
- Ali Hassan Sodhro
- show all similar names
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2020 – today
- 2024
- [j8]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. ACM Comput. Surv. 56(7): 170:1-170:38 (2024) - [j7]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. IEEE Trans. Artif. Intell. 5(9): 4322-4343 (2024) - [j6]Hassan Ali, Muhammad Atif Butt, Fethi Filali, Ala I. Al-Fuqaha, Junaid Qadir:
Consistent Valid Physically-Realizable Adversarial Attack Against Crowd-Flow Prediction Models. IEEE Trans. Intell. Transp. Syst. 25(6): 5567-5582 (2024) - [i11]Hassan Ali, Surya Nepal, Salil S. Kanhere, Sanjay K. Jha:
Adversarially Guided Stateful Defense Against Backdoor Attacks in Federated Deep Learning. CoRR abs/2410.11205 (2024) - 2023
- [j5]Muhammad Atif Butt, Adnan Qayyum, Hassan Ali, Ala I. Al-Fuqaha, Junaid Qadir:
Towards secure private and trustworthy human-centric embedded machine learning: An emotion-aware facial recognition case study. Comput. Secur. 125: 103058 (2023) - [j4]Hassan Ali, Muhammad Suleman Khan, Amer AlGhadhban, Meshari Alazmi, Ahmed Alzamil, Khaled Al-Utaibi, Junaid Qadir:
Con-Detect: Detecting adversarially perturbed natural language inputs to deep classifiers through holistic analysis. Comput. Secur. 132: 103367 (2023) - [i10]Hassan Ali, Muhammad Atif Butt, Fethi Filali, Ala I. Al-Fuqaha, Junaid Qadir:
Consistent Valid Physically-Realizable Adversarial Attack against Crowd-flow Prediction Models. CoRR abs/2303.02669 (2023) - [i9]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) - [i8]Hassan Ali, Adnan Qayyum, Ala I. Al-Fuqaha, Junaid Qadir:
Membership Inference Attacks on DNNs using Adversarial Perturbations. CoRR abs/2307.05193 (2023) - [i7]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) - [i6]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) - 2022
- [j3]Hassan Ali, Muhammad Suleman Khan, Ala I. Al-Fuqaha, Junaid Qadir:
Tamp-X: Attacking explainable natural language classifiers through tampered activations. Comput. Secur. 120: 102791 (2022) - [i5]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
- [j2]Hassan Ali, Muhammad Suleman Khan, Amer AlGhadhban, Meshari Alazmi, Ahmad Alzamil, Khaled Abdul-Aziz Al-Utaibi, Junaid Qadir:
All Your Fake Detector are Belong to Us: Evaluating Adversarial Robustness of Fake-News Detectors Under Black-Box Settings. IEEE Access 9: 81678-81692 (2021) - 2020
- [j1]Hassan Ali, Faiq Khalid, Hammad Tariq, Muhammad Abdullah Hanif, Rehan Ahmed, Semeen Rehman:
SSCNets: Robustifying DNNs using Secure Selective Convolutional Filters. IEEE Des. Test 37(2): 58-65 (2020) - [c2]Faiq Khalid, Hassan Ali, Muhammad Abdullah Hanif, Semeen Rehman, Rehan Ahmed, Muhammad Shafique:
FaDec: A Fast Decision-based Attack for Adversarial Machine Learning. IJCNN 2020: 1-8 - [i4]Hassan Ali, Surya Nepal, Salil S. Kanhere, Sanjay Jha:
HaS-Nets: A Heal and Select Mechanism to Defend DNNs Against Backdoor Attacks for Data Collection Scenarios. CoRR abs/2012.07474 (2020)
2010 – 2019
- 2019
- [c1]Faiq Khalid, Hassan Ali, Hammad Tariq, Muhammad Abdullah Hanif, Semeen Rehman, Rehan Ahmed, Muhammad Shafique:
QuSecNets: Quantization-based Defense Mechanism for Securing Deep Neural Network against Adversarial Attacks. IOLTS 2019: 182-187 - [i3]Faiq Khalid, Hassan Ali, Muhammad Abdullah Hanif, Semeen Rehman, Rehan Ahmed, Muhammad Shafique:
RED-Attack: Resource Efficient Decision based Attack for Machine Learning. CoRR abs/1901.10258 (2019) - 2018
- [i2]Hassan Ali, Hammad Tariq, Muhammad Abdullah Hanif, Faiq Khalid, Semeen Rehman, Rehan Ahmed, Muhammad Shafique:
QuSecNets: Quantization-based Defense Mechanism for Securing Deep Neural Network against Adversarial Attacks. CoRR abs/1811.01437 (2018) - [i1]Hammad Tariq, Hassan Ali, Muhammad Abdullah Hanif, Faiq Khalid, Semeen Rehman, Rehan Ahmed, Muhammad Shafique:
SSCNets: A Selective Sobel Convolution-based Technique to Enhance the Robustness of Deep Neural Networks against Security Attacks. CoRR abs/1811.01443 (2018)
Coauthor Index
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last updated on 2024-12-10 20:39 CET by the dblp team
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