| A decision support framework for automl systems: A meta-learning approach S Dyrmishi, R Elshawi, S Sakr 2019 International Conference on Data Mining Workshops (ICDMW), 97-106, 2019 | 27 | 2019 |
| A Unified Framework for Adversarial Attack and Defense in Constrained Feature Space T Simonetto, S Dyrmishi, S Ghamizi, M Cordy International Joint Conferences on Artificial Intelligence, 1313-1319, 2022 | 23 | 2022 |
| On the empirical effectiveness of unrealistic adversarial hardening against realistic adversarial attacks S Dyrmishi, S Ghamizi, T Simonetto, Y Le Traon, M Cordy 2023 IEEE symposium on security and privacy (SP), 1384-1400, 2023 | 22 | 2023 |
| How do humans perceive adversarial text? A reality check on the validity and naturalness of word-based adversarial attacks S Dyrmishi, S Ghamizi, M Cordy 61st Annual Meeting of the Association for Computational Linguistics (ACL) 1, 2023 | 13 | 2023 |
| How Realistic Is Your Synthetic Data? Constraining Deep Generative Models for Tabular Data M Stoian, S Dyrmishi, M Cordy, T Lukasiewicz, E Giunchiglia The Twelfth International Conference on Learning Representations (ICLR), 2024 | 12 | 2024 |
| Mobile positioning and trajectory reconstruction based on mobile phone network data: A tentative using particle filter S Dyrmishi, A Hadachi 2021 7th International Conference on Models and Technologies for Intelligent …, 2021 | 7 | 2021 |
| Deep generative models as an adversarial attack strategy for tabular machine learning S Dyrmishi, M Stoian, E Giunchiglia, M Cordy International Conference on Machine Learning and Cybernetics (ICMLC), 2024 | | 2024 |