| 2026 | MDM | Privacy Preserving Personalized Next Location Prediction Via Encrypted Shuffled Federated Learning and Fuzzy Clustering. | Saloua Bouabba, Karine Zeitouni, Bassem Haidar, Nazim Agoulmine, Zaineb Chelly Dagdia |
| 2026 | SECRYPT | Locally Differentially Private Synthesis of Decentralised Heterogeneous Social Graphs via Spectral Embeddings and Bayesian Optimisation. | Manel Jerbi, Zaineb Chelly Dagdia, Sjouke Mauw |
| 2024 | MDM | Federated TimeGAN for Privacy Preserving Synthetic Trajectory Generation. | Saloua Bouabba, Karine Zeitouni, Bassem Haidar, Nazim Agoulmine, Zaineb Chelly Dagdia |
| 2023 | CEC | Immune-Based System to Enhance Malware Detection. | Manel Jerbi, Zaineb Chelly Dagdia, Slim Bechikh, Lamjed Ben Said |
| 2023 | ESANN | TabSRA: An Attention based Self-Explainable Model for Tabular Learning. | Kodjo Mawuena Amekoe, Mohamed Djallel Dilmi, Hanene Azzag, Zaineb Chelly Dagdia, Mustapha Lebbah, Gregoire Jaffre |
| 2023 | FedCSIS | Clustering Corticosteroids Responsiveness in Sepsis Patients using Game-Theoretic Rough Sets. | Rahma Hellali, Zaineb Chelly Dagdia, Karine Zeitouni |
| 2022 | FedCSIS | Towards a Granular Computing Framework for Multiple Aspect Trajectory Representation and Privacy Preservation: Research Challenges and Opportunities. | Zaineb Chelly Dagdia, Vania Bogorny |
| 2022 | FedCSIS | Malware Evolution and Detection Based on the Variable Precision Rough Set Model. | Manel Jerbi, Zaineb Chelly Dagdia, Slim Bechikh, Lamjed Ben Said |
| 2021 | HPDC | Towards a Federated Learning Approach for Privacy-aware Analysis of Semantically Enriched Mobility Data. | Zaineb Chelly Dagdia, Chiara Renso, Karine Zeitouni, Nazim Agoulmine |
| 2021 | ICONIP | Malware Detection Using Rough Set Based Evolutionary Optimization. | Manel Jerbi, Zaineb Chelly Dagdia, Slim Bechikh, Lamjed Ben Said |
| 2018 | GECCO | A distributed dendritic cell algorithm for big data. | Zaineb Chelly Dagdia |