Salah Ghamizi
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| Fakultät oder Zentrum | Interdisciplinary Centre for Security, Reliability and Trust | ||||
| Department | SerVal | ||||
| Postadresse |
Campus Kirchberg, Université du Luxembourg 6, rue Richard Coudenhove-Kalergi L-1359 Luxembourg |
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| Büroadresse | E 008 | ||||
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| Telefon | (+352) 46 66 44 5409 | ||||
Salah Ghamizi received his Master degree in Engineering from Université de Lorraine (France), in 2016. He has worked recently as a software engineer and data scientist on collaborative analytics for Education. Natural language processing and graph-based classification are among his other research interests. Salah joined the Security Design and Validation research group, SERVAL, headed by Prof. Yves Le Traon.
Last updated on: Dienstag, den 22. Januar 2019
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 (2022)
Adversarial Robustness in Multi-Task Learning: Promises and Illusions; ; ;
in Proceedings of the thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI-22) (2022)
Towards Generalizable Machine Learning for Chest X-ray Diagnosis with Multi-task learning; ; ; ; ; ;
E-print/Working paper (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 (2022)
2021
Evasion Attack STeganography: Turning Vulnerability Of Machine Learning ToAdversarial Attacks Into A Real-world Application; ; ;
in Proceedings of International Conference on Computer Vision 2021 (2021)
Requirements And Threat Models of Adversarial Attacks and Robustness of Chest X-ray classification; ; ;
E-print/Working paper (2021)
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 (2020)
FeatureNET: Diversity-driven Generation of Deep Learning Models; ; ;
in International Conference on Software Engineering (ICSE) (2020)
Adversarial Embedding: A robust and elusive Steganography and Watermarking technique; ; ;
Scientific Conference (2020)
Data-driven simulation and optimization for covid-19 exit strategies; ; ; ; ; ; ;
in Ghamizi, Salah; Rwemalika, Renaud; Cordy, Maxime; Veiber, Lisa; Bissyande, Tegawendé François D Assise; Papadakis, Mike; Klein, Jacques; Le Traon, Yves (Eds.) Data-driven simulation and optimization for covid-19 exit strategies (2020, August)
2019
Automated Search for Configurations of Deep Neural Network Architectures; ; ;
in Automated Search for Configurations of Convolutional Neural Network Architectures (2019)
