Multi-region segmentation of bladder cancer structures in MRI with progressive dilated convolutional networks. - Jose Dolz; Xiaopan Xu; Jérôme Rony; Jing Yuan 001; Yang Liu 093; Eric Granger; Christian Desrosiers; Xi Zhang 017; Ismail Ben Ayed; Hongbing Lu (CoRR, 2018)

Decoupling Direction and Norm for Efficient Gradient-Based L2 Adversarial Attacks and Defenses. - Jérôme Rony; Luiz G. Hafemann; Luiz S. Oliveira; Ismail Ben Ayed; Robert Sabourin; Eric Granger (CVPR, 2019)

Weakly Supervised Object Localization using Min-Max Entropy: an Interpretable Framework. - Soufiane Belharbi; Jérôme Rony; Jose Dolz; Ismail Ben Ayed; Luke McCaffrey; Eric Granger (CoRR, 2019)

Universal Adversarial Audio Perturbations. - Sajjad Abdoli; Luiz G. Hafemann; Jérôme Rony; Ismail Ben Ayed; Patrick Cardinal; Alessandro L. Koerich (CoRR, 2019)

Deep weakly-supervised learning methods for classification and localization in histology images: a survey. - Jérôme Rony; Soufiane Belharbi; Jose Dolz; Ismail Ben Ayed; Luke McCaffrey; Eric Granger (CoRR, 2019)

A Unifying Mutual Information View of Metric Learning: Cross-Entropy vs. Pairwise Losses. - Malik Boudiaf; Jérôme Rony; Imtiaz Masud Ziko; Eric Granger; Marco Pedersoli; Pablo Piantanida; Ismail Ben Ayed (ECCV (6), 2020)

Information Maximization for Few-Shot Learning. - Malik Boudiaf; Imtiaz Masud Ziko; Jérôme Rony; Jose Dolz; Pablo Piantanida; Ismail Ben Ayed (NeurIPS, 2020)

Metric learning: cross-entropy vs. pairwise losses. - Malik Boudiaf; Jérôme Rony; Imtiaz Masud Ziko; Eric Granger; Marco Pedersoli; Pablo Piantanida; Ismail Ben Ayed (CoRR, 2020)

Transductive Information Maximization For Few-Shot Learning. - Malik Boudiaf; Imtiaz Masud Ziko; Jérôme Rony; José Dolz; Pablo Piantanida; Ismail Ben Ayed (CoRR, 2020)

Augmented Lagrangian Adversarial Attacks. - Jérôme Rony; Eric Granger; Marco Pedersoli; Ismail Ben Ayed (ICCV, 2021)

Mutual-Information Based Few-Shot Classification. - Malik Boudiaf; Imtiaz Masud Ziko; Jérôme Rony; Jose Dolz; Ismail Ben Ayed; Pablo Piantanida (CoRR, 2021)

Leveraging Uncertainty for Deep Interpretable Classification and Weakly-Supervised Segmentation of Histology Images. - Soufiane Belharbi; Jérôme Rony; Jose Dolz; Ismail Ben Ayed; Luke McCaffrey; Eric Granger (CoRR, 2022)

Proximal Splitting Adversarial Attacks for Semantic Segmentation. - Jérôme Rony; Jean-Christophe Pesquet; Ismail Ben Ayed (CoRR, 2022)

Deep Interpretable Classification and Weakly-Supervised Segmentation of Histology Images via Max-Min Uncertainty. - Soufiane Belharbi; Jérôme Rony; Jose Dolz; Ismail Ben Ayed; Luke McCaffrey; Eric Granger (IEEE Trans. Medical Imaging, 2022)

Adversarial Library. - Jérôme Rony; Ismail Ben Ayed (Zenodo, 2022)

Adversarial Library. - Jérôme Rony; Ismail Ben Ayed (Zenodo, 2022)

Class Adaptive Network Calibration. - Bingyuan Liu; Jérôme Rony; Adrian Galdran; Jose Dolz; Ismail Ben Ayed (CVPR, 2023)

Proximal Splitting Adversarial Attack for Semantic Segmentation. - Jérôme Rony; Jean-Christophe Pesquet; Ismail Ben Ayed (CVPR, 2023)

Adversarial Library. - Jérôme Rony; Ismail Ben Ayed (Zenodo, 2023)

Training Graph Neural Networks Subject to a Tight Lipschitz Constraint. - Simona Ioana Juvina; Ana Antonia Neacsu; Jérôme Rony; Jean-Christophe Pesquet; Corneliu Burileanu; Ismail Ben Ayed (Trans. Mach. Learn. Res., 2024)

Adversarial Library. - Jérôme Rony; Ismail Ben Ayed (Zenodo, 2024)

Adversarial Library. - Jérôme Rony; Ismail Ben Ayed (Zenodo, 2024)

AttackBench: Evaluating Gradient-based Attacks for Adversarial Examples. - Antonio Emanuele Cinà; Jérôme Rony; Maura Pintor; Luca Demetrio; Ambra Demontis; Battista Biggio; Ismail Ben Ayed; Fabio Roli (AAAI, 2025)

Adversarial Library. - Jérôme Rony; Ismail Ben Ayed (Zenodo, 2025)