| 2025 | MICCAI | The Data Behind the Model: Gaps and Opportunities for Foundation Models in Brain Imaging. | Salah Ghamizi, Georgia Kanli, Magali Perquin, Olivier Keunen |
| 2023 | AAAI | On Evaluating Adversarial Robustness of Chest X-ray Classification. | Salah Ghamizi, Maxime Cordy, Mike Papadakis, Yves Le Traon |
| 2023 | ACL | How do humans perceive adversarial text? A reality check on the validity and naturalness of word-based adversarial attacks. | Salijona Dyrmishi, Salah Ghamizi, Maxime Cordy |
| 2023 | ICML | GAT: Guided Adversarial Training with Pareto-optimal Auxiliary Tasks. | Salah Ghamizi, Jingfeng Zhang, Maxime Cordy, Mike Papadakis, Masashi Sugiyama, Yves Le Traon |
| 2023 | SP | On The Empirical Effectiveness of Unrealistic Adversarial Hardening Against Realistic Adversarial Attacks. | Salijona Dyrmishi, Salah Ghamizi, Thibault Simonetto, Yves Le Traon, Maxime Cordy |
| 2022 | AAAI | Adversarial Robustness in Multi-Task Learning: Promises and Illusions. | Salah Ghamizi, Maxime Cordy, Mike Papadakis, Yves Le Traon |
| 2022 | IJCAI | A Unified Framework for Adversarial Attack and Defense in Constrained Feature Space. | Thibault Simonetto, Salijona Dyrmishi, Salah Ghamizi, Maxime Cordy, Yves Le Traon |
| 2020 | ICSE | FeatureNET: diversity-driven generation of deep learning models. | Salah Ghamizi, Maxime Cordy, Mike Papadakis, Yves Le Traon |
| 2020 | KDD | Data-driven Simulation and Optimization for Covid-19 Exit Strategies. | Salah Ghamizi, Renaud Rwemalika, Maxime Cordy, Lisa Veiber, Tegawend F. Bissyand, Mike Papadakis, Jacques Klein, Yves Le Traon |
| 2019 | SPLC | Automated search for configurations of convolutional neural network architectures. | Salah Ghamizi, Maxime Cordy, Mike Papadakis, Yves Le Traon |