Continual Conscious Active Fine-Tuning to Robustify Online Machine Learning Models Against Data Distribution Shifts. - Shawqi Al-Maliki; Faissal El Bouanani; Mohamed Abdallah 001; Junaid Qadir 001; Ala I. Al-Fuqaha (CoRR, 2022)

Defending Emotional Privacy with Adversarial Machine Learning for Social Good. - Shawqi Al-Maliki; Mohamed Abdallah 001; Junaid Qadir 001; Ala I. Al-Fuqaha (IWCMC, 2023)

Toward Improved Reliability of Deep Learning Based Systems Through Online Relabeling of Potential Adversarial Attacks. - Shawqi Al-Maliki; Faissal El Bouanani; Kashif Ahmad; Mohamed M. Abdallah 001; Dinh Thai Hoang; Dusit Niyato; Ala I. Al-Fuqaha (IEEE Trans. Reliab., 2023)

Addressing Data Distribution Shifts in Online Machine Learning Powered Smart City Applications Using Augmented Test-Time Adaptation. - Shawqi Al-Maliki; Faissal El Bouanani; Mohamed M. Abdallah 001; Junaid Qadir 001; Ala I. Al-Fuqaha (IEEE Internet Things Mag., 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)