Leveraging Deep Learning and IoT big data analytics to support the smart cities development: Review and future directions. - Safa Ben Atitallah; Maha Driss; Wadii Boulila; Henda Ben Ghézala (Comput. Sci. Rev., 2020)

An Enhanced Randomly Initialized Convolutional Neural Network for Columnar Cactus Recognition in Unmanned Aerial Vehicle imagery. - Safa Ben Atitallah; Maha Driss; Wadii Boulila; Anis Koubaa; Nesrine Atitallah; Henda Ben Ghézala (KES, 2021)

An Effective Detection and Classification Approach for DoS Attacks in Wireless Sensor Networks Using Deep Transfer Learning Models and Majority Voting. - Safa Ben Atitallah; Maha Driss; Wadii Boulila; Iman M. Almomani (ICCCI (CCIS Volume), 2022)

Microservices for Data Analytics in IoT Applications: Current Solutions, Open Challenges, and Future Research Directions. - Safa Ben Atitallah; Maha Driss; Henda Ben Ghzela (KES, 2022)

Randomly initialized convolutional neural network for the recognition of COVID-19 using X-ray images. - Safa Ben Atitallah; Maha Driss; Wadii Boulila; Henda Ben Ghézala (Int. J. Imaging Syst. Technol., 2022)

Fusion of convolutional neural networks based on Dempster-Shafer theory for automatic pneumonia detection from chest X-ray images. - Safa Ben Atitallah; Maha Driss; Wadii Boulila; Anis Koubaa; Henda Ben Ghézala (Int. J. Imaging Syst. Technol., 2022)

Req-WSComposer: a novel platform for requirements-driven composition of semantic web services. - Maha Driss; Safa Ben Atitallah; Amal Albalawi; Wadii Boulila (J. Ambient Intell. Humaniz. Comput., 2022)

SmartWater: A Service-Oriented and Sensor Cloud-Based Framework for Smart Monitoring of Water Environments. - Haithem Mezni; Maha Driss; Wadii Boulila; Safa Ben Atitallah; Mokhtar Sellami 002; Nouf Alharbi (Remote. Sens., 2022)

A Novel Detection and Multi-Classification Approach for IoT-Malware Using Random Forest Voting of Fine-Tuning Convolutional Neural Networks. - Safa Ben Atitallah; Maha Driss; Iman M. Almomani (Sensors, 2022)

Revolutionizing Disease Diagnosis: A Microservices-Based Architecture for Privacy-Preserving and Efficient IoT Data Analytics Using Federated Learning. - Safa Ben Atitallah; Maha Driss; Henda Ben Ghézala (KES, 2023)

An Evidence Theory Based Embedding Model for the Management of Smart Water Environments. - Maha Driss; Wadii Boulila; Haithem Mezni; Mokhtar Sellami 002; Safa Ben Atitallah; Nouf Alharbi (Sensors, 2023)

FedMicro-IDA: A federated learning and microservices-based framework for IoT data analytics. - Safa Ben Atitallah; Maha Driss; Henda Ben Ghézala (Internet Things, 2023)

Strengthening Network Intrusion Detection in IoT Environments with Self-supervised Learning and Few Shot Learning. - Safa Ben Atitallah; Maha Driss; Wadii Boulila; Anis Koubaa (ICCCI (2), 2024)

Enhancing Internet of Things Security throughSelf-Supervised Graph Neural Networks. - Safa Ben Atitallah; Maha Driss; Wadii Boulila; Anis Koubaa (CoRR, 2024)

Exploring Graph Mamba: A Comprehensive Survey on State-Space Models for Graph Learning. - Safa Ben Atitallah; Chaima Ben Rabah; Maha Driss; Wadii Boulila; Anis Koubaa (CoRR, 2024)

Towards Inclusive Arabic LLMs: A Culturally Aligned Benchmark in Arabic Large Language Model Evaluation. - Omer Nacar; Serry Taiseer Sibaee; Samar Ahmed; Safa Ben Atitallah; Adel Ammar; Yasser AlHabashi; Abdulrahman S. Al-Batati; Arwa Alsehibani; Nour Qandos; Omar Elshehy; Mohamed Abdelkader; Anis Koubaa (COLING Workshops, 2025)

Steganography in IoT: A Comprehensive Survey on Approaches, Challenges, and Future Directions. - Maha Driss; Lamia Berriche; Safa Ben Atitallah; Siwar Rekik (IEEE Access, 2025)

Self-supervised learning for graph-structured data in healthcare applications: A comprehensive review. - Safa Ben Atitallah; Chaima Ben Rabah; Maha Driss; Wadii Boulila; Anis Koubaa (Comput. Biol. Medicine, 2025)

Securing Industrial IoT Environments: A Fuzzy Graph Attention Network for Robust Intrusion Detection. - Safa Ben Atitallah; Maha Driss; Wadii Boulila; Anis Koubaa (IEEE Open J. Comput. Soc., 2025)