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ORCIDSalah Ghamizi
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2020 – today
- 2024
[i17]Salah Ghamizi, Jun Cao, Aoxiang Ma, Pedro Rodriguez:
PowerFlowMultiNet: Multigraph Neural Networks for Unbalanced Three-Phase Distribution Systems. CoRR abs/2403.00892 (2024)- [i16]Thibault Simonetto, Salah Ghamizi, Maxime Cordy:
Constrained Adaptive Attack: Effective Adversarial Attack Against Deep Neural Networks for Tabular Data. CoRR abs/2406.00775 (2024) - [i15]Pantelis Dogoulis, Matthieu Jimenez, Salah Ghamizi, Maxime Cordy, Yves Le Traon:
Robustness Analysis of AI Models in Critical Energy Systems. CoRR abs/2406.14361 (2024) - [i14]Salah Ghamizi, Aleksandar Bojchevski, Aoxiang Ma, Jun Cao:
SafePowerGraph: Safety-aware Evaluation of Graph Neural Networks for Transmission Power Grids. CoRR abs/2407.12421 (2024) - [i13]Thibault Simonetto, Salah Ghamizi, Maxime Cordy:
TabularBench: Benchmarking Adversarial Robustness for Tabular Deep Learning in Real-world Use-cases. CoRR abs/2408.07579 (2024) - 2023
- [c12]Salah Ghamizi, Maxime Cordy, Mike Papadakis, Yves Le Traon:
On Evaluating Adversarial Robustness of Chest X-ray Classification. SafeAI@AAAI 2023 - [c11]Salijona Dyrmishi
, Salah Ghamizi, Maxime Cordy:
How do humans perceive adversarial text? A reality check on the validity and naturalness of word-based adversarial attacks. ACL (1) 2023: 8822-8836 - [c10]Salah Ghamizi, Jingfeng Zhang, Maxime Cordy, Mike Papadakis, Masashi Sugiyama, Yves Le Traon:
GAT: Guided Adversarial Training with Pareto-optimal Auxiliary Tasks. ICML 2023: 11255-11282 - [c9]Salijona Dyrmishi, Salah Ghamizi, Thibault Simonetto, Yves Le Traon, Maxime Cordy:
On The Empirical Effectiveness of Unrealistic Adversarial Hardening Against Realistic Adversarial Attacks. SP 2023: 1384-1400 - [i12]Salah Ghamizi, Jingfeng Zhang, Maxime Cordy, Mike Papadakis, Masashi Sugiyama, Yves Le Traon:
GAT: Guided Adversarial Training with Pareto-optimal Auxiliary Tasks. CoRR abs/2302.02907 (2023) - [i11]Salijona Dyrmishi, Salah Ghamizi, Maxime Cordy:
How do humans perceive adversarial text? A reality check on the validity and naturalness of word-based adversarial attacks. CoRR abs/2305.15587 (2023) - [i10]Salah Ghamizi, Maxime Cordy, Yuejun Guo, Mike Papadakis, Yves Le Traon:
Hazards in Deep Learning Testing: Prevalence, Impact and Recommendations. CoRR abs/2309.05381 (2023) - [i9]Thibault Simonetto, Salah Ghamizi, Antoine Desjardins, Maxime Cordy, Yves Le Traon:
Constrained Adaptive Attacks: Realistic Evaluation of Adversarial Examples and Robust Training of Deep Neural Networks for Tabular Data. CoRR abs/2311.04503 (2023) - 2022
- [b1]Salah Ghamizi:
Multi-objective Robust Machine Learning For Critical Systems With Scarce Data. University of Luxembourg, 2022 - [c8]Salah Ghamizi, Maxime Cordy, Mike Papadakis, Yves Le Traon:
Adversarial Robustness in Multi-Task Learning: Promises and Illusions. AAAI 2022: 697-705 - [c7]Thibault Simonetto, Salijona Dyrmishi, Salah Ghamizi, Maxime Cordy, Yves Le Traon:
A Unified Framework for Adversarial Attack and Defense in Constrained Feature Space. IJCAI 2022: 1313-1319 - [i8]Salijona Dyrmishi, Salah Ghamizi, Thibault Simonetto, Yves Le Traon, Maxime Cordy:
On The Empirical Effectiveness of Unrealistic Adversarial Hardening Against Realistic Adversarial Attacks. CoRR abs/2202.03277 (2022) - [i7]Salah Ghamizi, Maxime Cordy, Michail Papadakis, Yves Le Traon:
On Evaluating Adversarial Robustness of Chest X-ray Classification: Pitfalls and Best Practices. CoRR abs/2212.08130 (2022) - 2021
- [c6]Salah Ghamizi, Maxime Cordy, Mike Papadakis, Yves Le Traon:
Evasion Attack STeganography: Turning Vulnerability Of Machine Learning To Adversarial Attacks Into A Real-world Application. ICCVW 2021: 31-40 - [i6]Salah Ghamizi, Maxime Cordy, Mike Papadakis, Yves Le Traon:
Adversarial Robustness in Multi-Task Learning: Promises and Illusions. CoRR abs/2110.15053 (2021) - [i5]Thibault Simonetto, Salijona Dyrmishi, Salah Ghamizi, Maxime Cordy, Yves Le Traon:
A Unified Framework for Adversarial Attack and Defense in Constrained Feature Space. CoRR abs/2112.01156 (2021) - [i4]Lisa Veiber, Salah Ghamizi, Jean-Sébastien Sottet:
A Hybrid Predictive Model for Mitigating Health and Economic Factors during a Pandemic. ERCIM News 2021(124) (2021) - 2020
- [c5]Salah Ghamizi, Maxime Cordy, Mike Papadakis, Yves Le Traon:
FeatureNET: diversity-driven generation of deep learning models. ICSE (Companion Volume) 2020: 41-44 - [c4]Salah Ghamizi, Renaud Rwemalika, Maxime Cordy, Lisa Veiber, Tegawendé F. Bissyandé, Mike Papadakis, Jacques Klein, Yves Le Traon:
Data-driven Simulation and Optimization for Covid-19 Exit Strategies. KDD 2020: 3434-3442 - [c3]Salah Ghamizi, Maxime Cordy, Martin Gubri, Mike Papadakis, Andrey Boytsov, Yves Le Traon, Anne Goujon:
Search-based adversarial testing and improvement of constrained credit scoring systems. ESEC/SIGSOFT FSE 2020: 1089-1100 - [i3]Salah Ghamizi, Renaud Rwemalika, Lisa Veiber, Maxime Cordy, Tegawendé F. Bissyandé, Mike Papadakis, Jacques Klein, Yves Le Traon:
Data-driven Simulation and Optimization for Covid-19 Exit Strategies. CoRR abs/2006.07087 (2020)
2010 – 2019
- 2019
- [c2]Salah Ghamizi, Maxime Cordy, Mike Papadakis, Yves Le Traon:
Automated search for configurations of convolutional neural network architectures. SPLC (A) 2019: 21:1-21:12 - [i2]Salah Ghamizi, Maxime Cordy, Mike Papadakis, Yves Le Traon:
Automated Search for Configurations of Deep Neural Network Architectures. CoRR abs/1904.04612 (2019) - [i1]Salah Ghamizi, Maxime Cordy, Mike Papadakis, Yves Le Traon:
Adversarial Embedding: A robust and elusive Steganography and Watermarking technique. CoRR abs/1912.01487 (2019) - 2015
- [c1]Bart Lamiroy, Thomas Bouville, Julien Blégean, Hongliu Cao, Salah Ghamizi, Romain Houpin, Matthias Lloyd:
Re-typograph phase I: a proof-of-concept for typeface parameter extraction from historical documents. DRR 2015: 94020B
Coauthor Index
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last updated on 2024-09-25 01:40 CEST by the dblp team
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