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Journal Articles
- 2024
[j3]Shawqi Al-Maliki, Faissal El Bouanani, Mohamed M. Abdallah, Junaid Qadir, Ala I. Al-Fuqaha:
Addressing Data Distribution Shifts in Online Machine Learning Powered Smart City Applications Using Augmented Test-Time Adaptation. IEEE Internet Things Mag. 7(4): 116-124 (2024)- [j2]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) - 2023
- [j1]Shawqi Al-Maliki, Faissal El Bouanani, Kashif Ahmad, Mohamed M. Abdallah, Dinh Thai Hoang, Dusit Niyato, Ala I. Al-Fuqaha:
Toward Improved Reliability of Deep Learning Based Systems Through Online Relabeling of Potential Adversarial Attacks. IEEE Trans. Reliab. 72(4): 1367-1382 (2023)
Conference and Workshop Papers
- 2023
- [c1]Shawqi Al-Maliki, Mohamed Abdallah, Junaid Qadir, Ala I. Al-Fuqaha:
Defending Emotional Privacy with Adversarial Machine Learning for Social Good. IWCMC 2023: 345-350
Informal and Other Publications
- 2023
- [i2]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
- [i1]Shawqi Al-Maliki, Faissal El Bouanani, Mohamed Abdallah, Junaid Qadir, Ala I. Al-Fuqaha:
Continual Conscious Active Fine-Tuning to Robustify Online Machine Learning Models Against Data Distribution Shifts. CoRR abs/2211.01315 (2022)
Coauthor Index
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