Re-typograph phase I: a proof-of-concept for typeface parameter extraction from historical documents. - Bart Lamiroy; Thomas Bouville; Julien Blégean; Hongliu Cao; Salah Ghamizi; Romain Houpin; Matthias Lloyd (DRR, 2015)

Automated search for configurations of convolutional neural network architectures. - Salah Ghamizi; Maxime Cordy; Mike Papadakis; Yves Le Traon (SPLC (A), 2019)

Automated Search for Configurations of Deep Neural Network Architectures. - Salah Ghamizi; Maxime Cordy; Mike Papadakis; Yves Le Traon (CoRR, 2019)

Adversarial Embedding: A robust and elusive Steganography and Watermarking technique. - Salah Ghamizi; Maxime Cordy; Mike Papadakis; Yves Le Traon (CoRR, 2019)

FeatureNET: diversity-driven generation of deep learning models. - Salah Ghamizi; Maxime Cordy; Mike Papadakis; Yves Le Traon (ICSE (Companion Volume), 2020)

Data-driven Simulation and Optimization for Covid-19 Exit Strategies. - Salah Ghamizi; Renaud Rwemalika; Maxime Cordy; Lisa Veiber; Tegawendé F. Bissyandé; Mike Papadakis; Jacques Klein; Yves Le Traon (KDD, 2020)

Search-based adversarial testing and improvement of constrained credit scoring systems. - Salah Ghamizi; Maxime Cordy; Martin Gubri; Mike Papadakis; Andrey Boytsov; Yves Le Traon; Anne Goujon (ESEC/SIGSOFT FSE, 2020)

Evasion Attack STeganography: Turning Vulnerability Of Machine Learning To Adversarial Attacks Into A Real-world Application. - Salah Ghamizi; Maxime Cordy; Mike Papadakis; Yves Le Traon (ICCVW, 2021)

A Hybrid Predictive Model for Mitigating Health and Economic Factors during a Pandemic. - Lisa Veiber; Salah Ghamizi; Jean-Sébastien Sottet (ERCIM News, 2021)

Adversarial Robustness in Multi-Task Learning: Promises and Illusions. - Salah Ghamizi; Maxime Cordy; Mike Papadakis; Yves Le Traon (AAAI, 2022)

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)

On Evaluating Adversarial Robustness of Chest X-ray Classification: Pitfalls and Best Practices. - Salah Ghamizi; Maxime Cordy; Michail Papadakis; Yves Le Traon (CoRR, 2022)

Multi-objective Robust Machine Learning For Critical Systems With Scarce Data. - Salah Ghamizi (2022)

On Evaluating Adversarial Robustness of Chest X-ray Classification. - Salah Ghamizi; Maxime Cordy; Mike Papadakis; Yves Le Traon (SafeAI@AAAI, 2023)

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)

GAT: Guided Adversarial Training with Pareto-optimal Auxiliary Tasks. - Salah Ghamizi; Jingfeng Zhang; Maxime Cordy; Mike Papadakis; Masashi Sugiyama; Yves Le Traon (ICML, 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)

Hazards in Deep Learning Testing: Prevalence, Impact and Recommendations. - Salah Ghamizi; Maxime Cordy; Yuejun Guo 001; Mike Papadakis; Yves Le Traon (CoRR, 2023)

Constrained Adaptive Attacks: Realistic Evaluation of Adversarial Examples and Robust Training of Deep Neural Networks for Tabular Data. - Thibault Simonetto; Salah Ghamizi; Antoine Desjardins; Maxime Cordy; Yves Le Traon (CoRR, 2023)

On the Impact of Industrial Delays when Mitigating Distribution Drifts: An Empirical Study on Real-World Financial Systems. - Thibault Simonetto; Maxime Cordy; Salah Ghamizi; Yves Le Traon; Clément Lefebvre; Andrey Boystov; Anne Goujon (DELTA, 2024)

Constrained Adaptive Attack: Effective Adversarial Attack Against Deep Neural Networks for Tabular Data. - Thibault Simonetto; Salah Ghamizi; Maxime Cordy (NeurIPS, 2024)

TabularBench: Benchmarking Adversarial Robustness for Tabular Deep Learning in Real-world Use-cases. - Thibault Simonetto; Salah Ghamizi; Maxime Cordy (NeurIPS, 2024)

PowerFlowMultiNet: Multigraph Neural Networks for Unbalanced Three-Phase Distribution Systems. - Salah Ghamizi; Jun Cao; Aoxiang Ma; Pedro Rodriguez (CoRR, 2024)

Robustness Analysis of AI Models in Critical Energy Systems. - Pantelis Dogoulis; Matthieu Jimenez; Salah Ghamizi; Maxime Cordy; Yves Le Traon (CoRR, 2024)

SafePowerGraph: Safety-aware Evaluation of Graph Neural Networks for Transmission Power Grids. - Salah Ghamizi; Aleksandar Bojchevski; Aoxiang Ma; Jun Cao (CoRR, 2024)

RobustBlack: Challenging Black-Box Adversarial Attacks on State-of-the-Art Defenses. - Mohamed Djilani; Salah Ghamizi; Maxime Cordy (CoRR, 2024)

The Data Behind the Model: Gaps and Opportunities for Foundation Models in Brain Imaging. - Salah Ghamizi; Georgia Kanli; Magali Perquin; Olivier Keunen (MedAGI, 2025)

SafePowerGraph-LLM: Novel Power Grid Graph Embedding and Optimization with Large Language Models. - Fabien Bernier; Jun Cao; Maxime Cordy; Salah Ghamizi (CoRR, 2025)

SafePowerGraph-HIL: Real-Time HIL Validation of Heterogeneous GNNs for Bridging Sim-to-Real Gap in Power Grids. - Aoxiang Ma; Salah Ghamizi; Jun Cao; Pedro Rodriguez (CoRR, 2025)

On the Robustness of Tabular Foundation Models: Test-Time Attacks and In-Context Defenses. - Mohamed Djilani; Thibault Simonetto; Karim Tit; Florian Tambon; Paul Récamier; Salah Ghamizi; Maxime Cordy; Mike Papadakis (CoRR, 2025)

Brain Imaging Foundation Models, Are We There Yet? A Systematic Review of Foundation Models for Brain Imaging and Biomedical Research. - Salah Ghamizi; Georgia Kanli; Yu Deng; Magali Perquin; Olivier Keunen (CoRR, 2025)

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)