A Decision Support Framework for AutoML Systems: A Meta-Learning Approach. - Salijona Dyrmishi; Radwa El Shawi; Sherif Sakr (ICDM Workshops, 2019)

Mobile Positioning and Trajectory Reconstruction Based on Mobile Phone Network Data: A Tentative Using Particle Filter. - Salijona Dyrmishi; Amnir Hadachi (MT-ITS, 2021)

A Unified Framework for Adversarial Attack and Defense in Constrained Feature Space. - Thibault Simonetto; Salijona Dyrmishi; Salah Ghamizi; Maxime Cordy; Yves Le Traon (IJCAI, 2022)

How do humans perceive adversarial text? A reality check on the validity and naturalness of word-based adversarial attacks. - Salijona Dyrmishi; Salah Ghamizi; Maxime Cordy (ACL (1), 2023)

On The Empirical Effectiveness of Unrealistic Adversarial Hardening Against Realistic Adversarial Attacks. - Salijona Dyrmishi; Salah Ghamizi; Thibault Simonetto; Yves Le Traon; Maxime Cordy (SP, 2023)

How Realistic Is Your Synthetic Data? Constraining Deep Generative Models for Tabular Data. - Mihaela C. Stoian; Salijona Dyrmishi; Maxime Cordy; Thomas Lukasiewicz; Eleonora Giunchiglia (ICLR, 2024)

Deep Generative Models as an Adversarial Attack Strategy for Tabular Machine Learning. - Salijona Dyrmishi; Mihaela Catalina Stoian; Eleonora Giunchiglia; Maxime Cordy (ICMLC, 2024)

Insights on Adversarial Attacks for Tabular Machine Learning via a Systematic Literature Review. - Salijona Dyrmishi; Mohamed Djilani; Thibault Simonetto; Salah Ghamizi; Maxime Cordy (CoRR, 2025)