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Maxime Cordy

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Importance Guided Data Augmentation for Neural-Based Code Understanding

Feb 24, 2024
Zeming Dong, Qiang Hu, Xiaofei Xie, Maxime Cordy, Mike Papadakis, Jianjun Zhao

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How Realistic Is Your Synthetic Data? Constraining Deep Generative Models for Tabular Data

Feb 07, 2024
Mihaela Cătălina Stoian, Salijona Dyrmishi, Maxime Cordy, Thomas Lukasiewicz, Eleonora Giunchiglia

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Constrained Adaptive Attacks: Realistic Evaluation of Adversarial Examples and Robust Training of Deep Neural Networks for Tabular Data

Nov 08, 2023
Thibault Simonetto, Salah Ghamizi, Antoine Desjardins, Maxime Cordy, Yves Le Traon

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Hazards in Deep Learning Testing: Prevalence, Impact and Recommendations

Sep 11, 2023
Salah Ghamizi, Maxime Cordy, Yuejun Guo, Mike Papadakis, And Yves Le Traon

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Evaluating the Robustness of Test Selection Methods for Deep Neural Networks

Jul 29, 2023
Qiang Hu, Yuejun Guo, Xiaofei Xie, Maxime Cordy, Wei Ma, Mike Papadakis, Yves Le Traon

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How do humans perceive adversarial text? A reality check on the validity and naturalness of word-based adversarial attacks

May 24, 2023
Salijona Dyrmishi, Salah Ghamizi, Maxime Cordy

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Going Further: Flatness at the Rescue of Early Stopping for Adversarial Example Transferability

Apr 05, 2023
Martin Gubri, Maxime Cordy, Yves Le Traon

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Boosting Source Code Learning with Data Augmentation: An Empirical Study

Mar 13, 2023
Zeming Dong, Qiang Hu, Yuejun Guo, Zhenya Zhang, Maxime Cordy, Mike Papadakis, Yves Le Traon, Jianjun Zhao

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GAT: Guided Adversarial Training with Pareto-optimal Auxiliary Tasks

Feb 06, 2023
Salah Ghamizi, Jingfeng Zhang, Maxime Cordy, Mike Papadakis, Masashi Sugiyama, Yves Le Traon

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On Evaluating Adversarial Robustness of Chest X-ray Classification: Pitfalls and Best Practices

Dec 15, 2022
Salah Ghamizi, Maxime Cordy, Michail Papadakis, Yves Le Traon

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