2025 Insights on Adversarial Attacks for Tabular Machine Learning via a Systematic Literature Review Salijona Dyrmishi, Mohamed Djilani, Thibault Simonetto, and 2 more authors Under Review: ACM Computing Surveys, 2025 PDF 2024 Deep generative models as an adversarial attack strategy for tabular machine learning Salijona Dyrmishi, Mihaela Stoian, Eleonora Giunchiglia, and 1 more author In International Conference on Machine Learning and Cybernetics (ICMLC), 2024 PDF Code Slides How Realistic Is Your Synthetic Data? Constraining Deep Generative Models for Tabular Data Mihaela Stoian, Salijona Dyrmishi, Maxime Cordy, and 2 more authors In International Conference on Learning Representations (ICLR), 2024 PDF Code Slides 2023 How do humans perceive adversarial text? A reality check on the validity and naturalness of word-based adversarial attacks Salijona Dyrmishi, Salah Ghamizi, and Maxime Cordy In Annual Meeting of the Association for Computational Linguistics (ACL), 2023 PDF Code Slides On the empirical effectiveness of unrealistic adversarial hardening against realistic adversarial attacks Salijona Dyrmishi, Salah Ghamizi, Thibault Simonetto, and 2 more authors In IEEE Symposium on Security and Privacy (SP), 2023 PDF Code Slides 2022 A Unified Framework for Adversarial Attack and Defense in Constrained Feature Space Thibault Simonetto, Salijona Dyrmishi, Salah Ghamizi, and 2 more authors In International Joint Conference on Artificial Intelligence (IJCAI), 2022 PDF Video Code 2021 Mobile positioning and trajectory reconstruction based on mobile phone network data: A tentative using particle filter Salijona Dyrmishi, and Amnir Hadachi In International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS), 2021 PDF Code Slides 2019 A decision support framework for automl systems: A meta-learning approach Salijona Dyrmishi, Radwa Elshawi, and Sherif Sakr In International Conference on Data Mining Workshops (ICDMW), 2019 PDF Slides