Hassan Ali
Orcid: 0000-0002-1701-0390Affiliations:
- Information Technology University, ITU, IHSAN Lab, Lahore, Pakistan
- National University of Sciences and Technology, School of Electrical Engineering and Computer Sciences, Pakistan (former)
According to our database1,
Hassan Ali
authored at least 22 papers
between 2018 and 2025.
Collaborative distances:
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Bibliography
2025
R<sup>2</sup>S100K: Road-Region Segmentation Dataset for Semi-supervised Autonomous Driving in the Wild.
Int. J. Comput. Vis., February, 2025
Robust Encrypted Inference in Deep Learning: A Pathway to Secure Misinformation Detection.
IEEE Trans. Dependable Secur. Comput., 2025
AI-enhanced interview simulation in the metaverse: Transforming professional skills training through VR and generative conversational AI.
Comput. Educ. Artif. Intell., 2025
Proceedings of the 2025 55th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2025
2024
IEEE Trans. Artif. Intell., September, 2024
Secure and Trustworthy Artificial Intelligence-extended Reality (AI-XR) for Metaverses.
ACM Comput. Surv., July, 2024
Consistent Valid Physically-Realizable Adversarial Attack Against Crowd-Flow Prediction Models.
IEEE Trans. Intell. Transp. Syst., June, 2024
Adversarially Guided Stateful Defense Against Backdoor Attacks in Federated Deep Learning.
Proceedings of the Annual Computer Security Applications Conference, 2024
2023
Monitoring of large-scale forest restoration: Evidence of vegetation recovery and reversing chronic ecosystem degradation in the mountain region of Pakistan.
Ecol. Informatics, November, 2023
Con-Detect: Detecting adversarially perturbed natural language inputs to deep classifiers through holistic analysis.
Comput. Secur., September, 2023
R2S100K: Road-Region Segmentation Dataset For Semi-Supervised Autonomous Driving in the Wild.
CoRR, 2023
Towards secure private and trustworthy human-centric embedded machine learning: An emotion-aware facial recognition case study.
Comput. Secur., 2023
2022
Tamp-X: Attacking explainable natural language classifiers through tampered activations.
Comput. Secur., 2022
2021
All Your Fake Detector are Belong to Us: Evaluating Adversarial Robustness of Fake-News Detectors Under Black-Box Settings.
IEEE Access, 2021
2020
IEEE Des. Test, 2020
HaS-Nets: A Heal and Select Mechanism to Defend DNNs Against Backdoor Attacks for Data Collection Scenarios.
CoRR, 2020
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
2019
CoRR, 2019
QuSecNets: Quantization-based Defense Mechanism for Securing Deep Neural Network against Adversarial Attacks.
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.
CoRR, 2018