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GHAMIZI Salah

Main Referenced Co-authors
CORDY, Maxime  (16)
LE TRAON, Yves  (15)
PAPADAKIS, Michail  (13)
DYRMISHI, Salijona  (3)
RWEMALIKA, Renaud  (2)
Main Referenced Keywords
Deep Learning (2); Machine Learning (2); Robustness (2); Steganography (2); Watermarking (2);
Main Referenced Unit & Research Centers
Interdisciplinary Centre for Security, Reliability and Trust (SnT) > Security Design and Validation Research Group (SerVal) (3)
Interdisciplinary Centre for Security, Reliability and Trust (SnT) > Other (2)
Interdisciplinary Centre for Security, Reliability and Trust (SnT) (1)
ULHPC - University of Luxembourg: High Performance Computing (1)
Main Referenced Disciplines
Computer science (17)
Radiology, nuclear medicine & imaging (1)

Publications (total 17)

The most downloaded
373 downloads
Ghamizi, S., Rwemalika, R., Cordy, M., Le Traon, Y., & Papadakis, M. (2020). Pandemic Simulation and Forecasting of exit strategies:Convergence of Machine Learning and EpidemiologicalModels. University of Luxembourg. https://hdl.handle.net/10993/43166

The most cited

25 citations (Scopus®)

Ghamizi, S., Rwemalika, R., Cordy, M., Veiber, L., Bissyande, T. F. D. A., Papadakis, M., Klein, J., & Le Traon, Y. (2020). Data-driven simulation and optimization for covid-19 exit strategies. In S. Ghamizi, R. Rwemalika, M. Cordy, L. Veiber, T. F. D. A. Bissyande, M. Papadakis, J. Klein, ... Y. Le Traon, Data-driven simulation and optimization for covid-19 exit strategies (pp. 3434-3442). New York, NY, United States: Association for Computing Machinery. doi:10.1145/3394486.3412863 https://hdl.handle.net/10993/45706

GHAMIZI, S., Zhang, J., CORDY, M., PAPADAKIS, M., Sugiyama, M., & LE TRAON, Y. (2023). GAT: Guided Adversarial Training with Pareto-optimal Auxiliary Tasks. Proceedings of the International Conference on Machine Learning (ICML), 202, 11255–11282.
Peer reviewed

GHAMIZI, S., CORDY, M., PAPADAKIS, M., & LE TRAON, Y. (2023). On Evaluating Adversarial Robustness of Chest X-ray Classification. Proceedings of the Workshop on Artificial Intelligence Safety 2023, 3381.
Peer reviewed

Dyrmishi, S., Ghamizi, S., Simonetto, T. J. A., Le Traon, Y., & Cordy, M. (2023). On the empirical effectiveness of unrealistic adversarial hardening against realistic adversarial attacks. In Conference Proceedings 2023 IEEE Symposium on Security and Privacy (SP) (pp. 1384-1400). IEEE. doi:10.1109/SP46215.2023.00049
Peer reviewed

Dyrmishi, S., Ghamizi, S., & Cordy, M. (2023). How do humans perceive adversarial text? A reality check on the validity and naturalness of word-based adversarial attacks. In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics. Association for Computational Linguistics.
Peer reviewed

Ghamizi, S. (2022). Multi-objective Robust Machine Learning For Critical Systems With Scarce Data [Doctoral thesis, Unilu - University of Luxembourg]. ORBilu-University of Luxembourg. https://orbilu.uni.lu/handle/10993/52248

Ghamizi, S., Garcia Santa Cruz, B., Temple, P., Cordy, M., Perrouin, G., Papadakis, M., & Le Traon, Y. (2022). Towards Generalizable Machine Learning for Chest X-ray Diagnosis with Multi-task learning. ORBilu-University of Luxembourg. https://orbilu.uni.lu/handle/10993/50815.

Ghamizi, S., Cordy, M., Papadakis, M., & Le Traon, Y. (2022). Adversarial Robustness in Multi-Task Learning: Promises and Illusions. In Proceedings of the thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI-22). doi:10.1609/aaai.v36i1.19950
Peer reviewed

Simonetto, T. J. A., Dyrmishi, S., Ghamizi, S., Cordy, M., & Le Traon, Y. (2022). A Unified Framework for Adversarial Attack and Defense in Constrained Feature Space. In Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, IJCAI-22 (pp. 1313-1319). International Joint Conferences on Artificial Intelligence Organization. doi:10.24963/ijcai.2022/183
Peer reviewed

Ghamizi, S., Cordy, M., Papadakis, M., & Le Traon, Y. (2022). On Evaluating Adversarial Robustness of Chest X-ray Classification: Pitfalls and Best Practices. In The Thirty-Seventh AAAI Conference on Artificial Intelligence (AAAI- 23) - SafeAI Workshop, Washington, D.C., Feb 13-14, 2023.
Peer reviewed

Ghamizi, S., Cordy, M., Papadakis, M., & Le Traon, Y. (2021). Evasion Attack STeganography: Turning Vulnerability Of Machine Learning ToAdversarial Attacks Into A Real-world Application. Proceedings of International Conference on Computer Vision 2021. doi:10.1109/ICCVW54120.2021.00010
Peer reviewed

Ghamizi, S., Cordy, M., Papadakis, M., & Le Traon, Y. (2021). Requirements And Threat Models of Adversarial Attacks and Robustness of Chest X-ray classification. ORBilu-University of Luxembourg. https://orbilu.uni.lu/handle/10993/48411.

Ghamizi, S., Rwemalika, R., Cordy, M., Veiber, L., Bissyande, T. F. D. A., Papadakis, M., Klein, J., & Le Traon, Y. (2020). Data-driven simulation and optimization for covid-19 exit strategies. In S. Ghamizi, R. Rwemalika, M. Cordy, L. Veiber, T. F. D. A. Bissyande, M. Papadakis, J. Klein, ... Y. Le Traon, Data-driven simulation and optimization for covid-19 exit strategies (pp. 3434-3442). New York, NY, United States: Association for Computing Machinery. doi:10.1145/3394486.3412863
Peer reviewed

Ghamizi, S., Cordy, M., Papadakis, M., & Le Traon, Y. (2020). Adversarial Embedding: A robust and elusive Steganography and Watermarking technique [Paper presentation]. IEEE Symposium on Security and Privacy.

Ghamizi, S., Rwemalika, R., Cordy, M., Le Traon, Y., & Papadakis, M. (2020). Pandemic Simulation and Forecasting of exit strategies:Convergence of Machine Learning and EpidemiologicalModels. University of Luxembourg.

Ghamizi, S., Cordy, M., Papadakis, M., & Le Traon, Y. (2020). FeatureNET: Diversity-driven Generation of Deep Learning Models. In International Conference on Software Engineering (ICSE). doi:10.1145/3377812.3382153
Peer reviewed

Ghamizi, S., Cordy, M., Gubri, M., Papadakis, M., Boystov, A., Le Traon, Y., & Goujon, A. (2020). Search-based adversarial testing and improvement of constrained credit scoring systems. In ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE '20), November 8-13, 2020.
Peer reviewed

Ghamizi, S., Cordy, M., Papadakis, M., & Le Traon, Y. (2019). Automated Search for Configurations of Deep Neural Network Architectures. In Automated Search for Configurations of Convolutional Neural Network Architectures. doi:10.1145/3336294.3336306
Peer reviewed

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