Data-driven simulation and optimization for Covid-19 exit strategies S Ghamizi, R Rwemalika, M Cordy, L Veiber, TF Bissyandé, M Papadakis, ... Proceedings of the 26th ACM SIGKDD international conference on knowledge …, 2020 | 51 | 2020 |
Search-based adversarial testing and improvement of constrained credit scoring systems S Ghamizi, M Cordy, M Gubri, M Papadakis, A Boystov, Y Le Traon, ... Proceedings of the 28th ACM Joint Meeting on European Software Engineering …, 2020 | 23 | 2020 |
Evasion Attack STeganography: Turning Vulnerability Of Machine Learning To Adversarial Attacks Into A Real-world Application S Ghamizi, M Cordy, M Papadakis, Y Le Traon Proceedings of International Conference on Computer Vision 2021 - AROW, 2021 | 22* | 2021 |
Automated search for configurations of convolutional neural network architectures S Ghamizi, M Cordy, M Papadakis, YL Traon Proceedings of the 23rd International Systems and Software Product Line …, 2019 | 20* | 2019 |
Adversarial robustness in multi-task learning: Promises and illusions S Ghamizi, M Cordy, M Papadakis, Y Le Traon Proceedings of the AAAI Conference on Artificial Intelligence 36 (1), 697-705, 2022 | 16 | 2022 |
On the empirical effectiveness of unrealistic adversarial hardening against realistic adversarial attacks S Dyrmishi, S Ghamizi, T Simonetto, YL Traon, M Cordy 2023 IEEE Symposium on Security and Privacy (SP), 1384-1400, 2022 | 11 | 2022 |
A unified framework for adversarial attack and defense in constrained feature space T Simonetto, S Dyrmishi, S Ghamizi, M Cordy, YL Traon Proceedings of the Thirty-First International Joint Conference on Artificial …, 2022 | 11 | 2022 |
FeatureNET: diversity-driven generation of deep learning models S Ghamizi, M Cordy, M Papadakis, YL Traon Proceedings of the ACM/IEEE 42nd International Conference on Software …, 2020 | 6 | 2020 |
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 Proceedings of the 61st Annual Meeting of the Association for Computational …, 2023 | 4 | 2023 |
Re-typograph phase I: a proof-of-concept for typeface parameter extraction from historical documents B Lamiroy, T Bouville, J Blégean, H Cao, S Ghamizi, R Houpin, M Lloyd Document Recognition and Retrieval XXII 9402, 80-91, 2015 | 4 | 2015 |
GAT: guided adversarial training with pareto-optimal auxiliary tasks S Ghamizi, J Zhang, M Cordy, M Papadakis, M Sugiyama, Y Le Traon International Conference on Machine Learning, 11255-11282, 2023 | 2 | 2023 |
Pandemic simulation and forecasting of exit strategies: Convergence of machine learning and epidemiologicalmodels S Ghamizi, R Rwemalika, M Cordy, Y Le Traon, M Papadakis University of Luxembourg, 2020 | 2 | 2020 |
On Evaluating Adversarial Robustness of Chest X-ray Classification S GHAMIZI, M CORDY, M PAPADAKIS, Y LE TRAON Proceedings of the Workshop on Artificial Intelligence Safety 2023 3381, 2023 | 1* | 2023 |
PowerFlowMultiNet: Multigraph Neural Networks for Unbalanced Three-Phase Distribution Systems S Ghamizi, J Cao, A Ma, P Rodriguez arXiv preprint arXiv:2403.00892, 2024 | | 2024 |
Constrained Adaptive Attacks: Realistic Evaluation of Adversarial Examples and Robust Training of Deep Neural Networks for Tabular Data T Simonetto, S Ghamizi, A Desjardins, M Cordy, YL Traon arXiv preprint arXiv:2311.04503, 2023 | | 2023 |
Hazards in Deep Learning Testing: Prevalence, Impact and Recommendations S Ghamizi, M Cordy, Y Guo, M Papadakis arXiv preprint arXiv:2309.05381, 2023 | | 2023 |
Multi-objective Robust Machine Learning For Critical Systems With Scarce Data S Ghamizi Unilu-University of Luxembourg, Luxembourg, 2022 | | 2022 |
Towards Generalizable Machine Learning for Chest X-ray Diagnosis with Multi-task learning S Ghamizi, B Garcia Santa Cruz, P Temple, M Cordy, G Perrouin, ... | | 2022 |