Shawqi Al-Maliki

According to our database, Shawqi Al-Maliki authored at least 10 papers between 2022 and 2026.

Collaborative distances:

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

2026

Budget-Constrained Online Retrieval-Augmented Generation: The Chunk-as-a-Service Model.

Shawqi Al-Maliki, Ammar Gharaibeh, Mohamed Rahouti, Mohammad Ruhul Amin, Mohamed M. Abdallah, Junaid Qadir, Ala I. Al-Fuqaha

CoRR, April, 2026

GuardEval: A Multi-Perspective Benchmark for Evaluating Safety, Fairness, and Robustness in LLM Moderators.

Naseem Machlovi, Maryam Saleki, Ruhul Amin, Mohamed Rahouti, Shawqi Al-Maliki, Junaid Qadir, Mohamed M. Abdallah, Ala I. Al-Fuqaha

CoRR, January, 2026

Learning in Multiple Spaces: Prototypical Few-Shot Learning With Metric Fusion for Next-Generation Network Security.

Fernando Martinez-Lopez, Lesther Santana, Mohamed Rahouti, Abdellah Chehri, Shawqi Al-Maliki, Gwanggil Jeon

IEEE Trans. Netw. Serv. Manag., 2026

2025

Can LLMs Write Faithfully? An Agent-Based Evaluation of LLM-generated Islamic Content.

Abdullah Mushtaq, Muhammad Rafay Naeem, Ezieddin Elmahjub, Ibrahim Ghaznavi, Shawqi Al-Maliki, Mohamed M. Abdallah, Ala I. Al-Fuqaha, Junaid Qadir

CoRR, October, 2025

Repudiation For Good: Privacy-Preserving Prompt Deniability Through Embedding-Based Approximation.

Eiman Mohammed, Shawqi Al-Maliki, Mohamed M. Abdallah, Ala I. Al-Fuqaha

Proceedings of the IEEE/ACM 12th International Conference on Big Data Computing, 2025

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

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, Junaid Qadir, Ala I. Al-Fuqaha

IEEE Internet Things Mag., 2024

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, Dinh Thai Hoang, Dusit Niyato, Ala I. Al-Fuqaha

IEEE Trans. Reliab., December, 2023

Defending Emotional Privacy with Adversarial Machine Learning for Social Good.

Shawqi Al-Maliki, Mohamed Abdallah, Junaid Qadir, Ala I. Al-Fuqaha

Proceedings of the International Wireless Communications and Mobile Computing, 2023

2022

Continual Conscious Active Fine-Tuning to Robustify Online Machine Learning Models Against Data Distribution Shifts.

Shawqi Al-Maliki, Faissal El Bouanani, Mohamed Abdallah, Junaid Qadir, Ala I. Al-Fuqaha

CoRR, 2022