Salah Ghamizi - RankMe

42 papers A* 7Journal 25Unranked 9

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Can Large Language Models Reason and Optimize Under Constraints? CoRR Fabien Bernier, Salah Ghamizi, Pantelis Dogoulis, Maxime Cordy
2025	J	`jnl`	Brain Imaging Foundation Models, Are We There Yet? A Systematic Review of Foundation Models for Brain Imaging and Biomedical Research. CoRR Salah Ghamizi, Georgia Kanli, Yu Deng, Magali Perquin, Olivier Keunen
2025	J	`jnl`	Insights on Adversarial Attacks for Tabular Machine Learning via a Systematic Literature Review. CoRR Salijona Dyrmishi, Mohamed Djilani, Thibault Simonetto, Salah Ghamizi, Maxime Cordy
2025	J	`jnl`	On the Robustness of Tabular Foundation Models: Test-Time Attacks and In-Context Defenses. CoRR Mohamed Djilani, Thibault Simonetto, Karim Tit, Florian Tambon, Paul Récamier, Salah Ghamizi, Maxime Cordy, Mike Papadakis
2025	J	`jnl`	Physics-Aware Heterogeneous GNN Architecture for Real-Time BESS Optimization in Unbalanced Distribution Systems. CoRR Aoxiang Ma, Salah Ghamizi, Jun Cao, Pedro Rodriguez
2025	J	`jnl`	SafePowerGraph-HIL: Real-Time HIL Validation of Heterogeneous GNNs for Bridging Sim-to-Real Gap in Power Grids. CoRR Aoxiang Ma, Salah Ghamizi, Jun Cao, Pedro Rodriguez
2025	J	`jnl`	SafePowerGraph-LLM: Novel Power Grid Graph Embedding and Optimization with Large Language Models. CoRR Fabien Bernier, Jun Cao, Maxime Cordy, Salah Ghamizi
2025	—	`conf`	The Data Behind the Model: Gaps and Opportunities for Foundation Models in Brain Imaging. MedAGI Salah Ghamizi, Georgia Kanli, Magali Perquin, Olivier Keunen
2024	A*	`conf`	Constrained Adaptive Attack: Effective Adversarial Attack Against Deep Neural Networks for Tabular Data. NeurIPS Thibault Simonetto, Salah Ghamizi, Maxime Cordy
2024	J	`jnl`	Constrained Adaptive Attack: Effective Adversarial Attack Against Deep Neural Networks for Tabular Data. CoRR Thibault Simonetto, Salah Ghamizi, Maxime Cordy
2024	—	`conf`	On the Impact of Industrial Delays when Mitigating Distribution Drifts: An Empirical Study on Real-World Financial Systems. DELTA Thibault Simonetto, Maxime Cordy, Salah Ghamizi, Yves Le Traon, Clément Lefebvre, Andrey Boystov, Anne Goujon
2024	J	`jnl`	PowerFlowMultiNet: Multigraph Neural Networks for Unbalanced Three-Phase Distribution Systems. CoRR Salah Ghamizi, Jun Cao, Aoxiang Ma, Pedro Rodriguez
2024	J	`jnl`	RobustBlack: Challenging Black-Box Adversarial Attacks on State-of-the-Art Defenses. CoRR Mohamed Djilani, Salah Ghamizi, Maxime Cordy
2024	J	`jnl`	Robustness Analysis of AI Models in Critical Energy Systems. CoRR Pantelis Dogoulis, Matthieu Jimenez, Salah Ghamizi, Maxime Cordy, Yves Le Traon
2024	J	`jnl`	SafePowerGraph: Safety-aware Evaluation of Graph Neural Networks for Transmission Power Grids. CoRR Salah Ghamizi, Aleksandar Bojchevski, Aoxiang Ma, Jun Cao
2024	A*	`conf`	TabularBench: Benchmarking Adversarial Robustness for Tabular Deep Learning in Real-world Use-cases. NeurIPS Thibault Simonetto, Salah Ghamizi, Maxime Cordy
2024	J	`jnl`	TabularBench: Benchmarking Adversarial Robustness for Tabular Deep Learning in Real-world Use-cases. CoRR Thibault Simonetto, Salah Ghamizi, Maxime Cordy
2023	J	`jnl`	Constrained Adaptive Attacks: Realistic Evaluation of Adversarial Examples and Robust Training of Deep Neural Networks for Tabular Data. CoRR Thibault Simonetto, Salah Ghamizi, Antoine Desjardins, Maxime Cordy, Yves Le Traon
2023	A*	`conf`	GAT: Guided Adversarial Training with Pareto-optimal Auxiliary Tasks. ICML Salah Ghamizi, Jingfeng Zhang, Maxime Cordy, Mike Papadakis, Masashi Sugiyama, Yves Le Traon
2023	J	`jnl`	GAT: Guided Adversarial Training with Pareto-optimal Auxiliary Tasks. CoRR Salah Ghamizi, Jingfeng Zhang, Maxime Cordy, Mike Papadakis, Masashi Sugiyama, Yves Le Traon
2023	J	`jnl`	Hazards in Deep Learning Testing: Prevalence, Impact and Recommendations. CoRR Salah Ghamizi, Maxime Cordy, Yuejun Guo, Mike Papadakis, Yves Le Traon
2023	—	`conf`	How do humans perceive adversarial text? A reality check on the validity and naturalness of word-based adversarial attacks. ACL (1) Salijona Dyrmishi, Salah Ghamizi, Maxime Cordy
2023	J	`jnl`	How do humans perceive adversarial text? A reality check on the validity and naturalness of word-based adversarial attacks. CoRR Salijona Dyrmishi, Salah Ghamizi, Maxime Cordy
2023	—	`conf`	On Evaluating Adversarial Robustness of Chest X-ray Classification. SafeAI@AAAI Salah Ghamizi, Maxime Cordy, Mike Papadakis, Yves Le Traon
2023	A*	`conf`	On The Empirical Effectiveness of Unrealistic Adversarial Hardening Against Realistic Adversarial Attacks. SP Salijona Dyrmishi, Salah Ghamizi, Thibault Simonetto, Yves Le Traon, Maxime Cordy
2022	A*	`conf`	A Unified Framework for Adversarial Attack and Defense in Constrained Feature Space. IJCAI Thibault Simonetto, Salijona Dyrmishi, Salah Ghamizi, Maxime Cordy, Yves Le Traon
2022	A*	`conf`	Adversarial Robustness in Multi-Task Learning: Promises and Illusions. AAAI Salah Ghamizi, Maxime Cordy, Mike Papadakis, Yves Le Traon
2022	—	`—`	Multi-objective Robust Machine Learning For Critical Systems With Scarce Data. Salah Ghamizi
2022	J	`jnl`	On Evaluating Adversarial Robustness of Chest X-ray Classification: Pitfalls and Best Practices. CoRR Salah Ghamizi, Maxime Cordy, Michail Papadakis, Yves Le Traon
2022	J	`jnl`	On The Empirical Effectiveness of Unrealistic Adversarial Hardening Against Realistic Adversarial Attacks. CoRR Salijona Dyrmishi, Salah Ghamizi, Thibault Simonetto, Yves Le Traon, Maxime Cordy
2021	J	`jnl`	A Hybrid Predictive Model for Mitigating Health and Economic Factors during a Pandemic. ERCIM News Lisa Veiber, Salah Ghamizi, Jean-Sébastien Sottet
2021	J	`jnl`	A Unified Framework for Adversarial Attack and Defense in Constrained Feature Space. CoRR Thibault Simonetto, Salijona Dyrmishi, Salah Ghamizi, Maxime Cordy, Yves Le Traon
2021	J	`jnl`	Adversarial Robustness in Multi-Task Learning: Promises and Illusions. CoRR Salah Ghamizi, Maxime Cordy, Mike Papadakis, Yves Le Traon
2021	—	`conf`	Evasion Attack STeganography: Turning Vulnerability Of Machine Learning To Adversarial Attacks Into A Real-world Application. ICCVW Salah Ghamizi, Maxime Cordy, Mike Papadakis, Yves Le Traon
2020	A*	`conf`	Data-driven Simulation and Optimization for Covid-19 Exit Strategies. KDD Salah Ghamizi, Renaud Rwemalika, Maxime Cordy, Lisa Veiber, Tegawendé F. Bissyandé, Mike Papadakis, Jacques Klein, Yves Le Traon
2020	J	`jnl`	Data-driven Simulation and Optimization for Covid-19 Exit Strategies. CoRR Salah Ghamizi, Renaud Rwemalika, Lisa Veiber, Maxime Cordy, Tegawendé F. Bissyandé, Mike Papadakis, Jacques Klein, Yves Le Traon
2020	—	`conf`	FeatureNET: diversity-driven generation of deep learning models. ICSE (Companion Volume) Salah Ghamizi, Maxime Cordy, Mike Papadakis, Yves Le Traon
2020	—	`conf`	Search-based adversarial testing and improvement of constrained credit scoring systems. ESEC/SIGSOFT FSE Salah Ghamizi, Maxime Cordy, Martin Gubri, Mike Papadakis, Andrey Boytsov, Yves Le Traon, Anne Goujon
2019	J	`jnl`	Adversarial Embedding: A robust and elusive Steganography and Watermarking technique. CoRR Salah Ghamizi, Maxime Cordy, Mike Papadakis, Yves Le Traon
2019	J	`jnl`	Automated Search for Configurations of Deep Neural Network Architectures. CoRR Salah Ghamizi, Maxime Cordy, Mike Papadakis, Yves Le Traon
2019	—	`conf`	Automated search for configurations of convolutional neural network architectures. SPLC (A) Salah Ghamizi, Maxime Cordy, Mike Papadakis, Yves Le Traon
2015	—	`conf`	Re-typograph phase I: a proof-of-concept for typeface parameter extraction from historical documents. DRR Bart Lamiroy, Thomas Bouville, Julien Blégean, Hongliu Cao, Salah Ghamizi, Romain Houpin, Matthias Lloyd