Jérôme Rony - RankMe

23 papers A* 6Journal 16Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	AttackBench: Evaluating Gradient-based Attacks for Adversarial Examples. AAAI Antonio Emanuele Cinà, Jérôme Rony, Maura Pintor, Luca Demetrio, Ambra Demontis, Battista Biggio, Ismail Ben Ayed, Fabio Roli
2024	J	`jnl`	AttackBench: Evaluating Gradient-based Attacks for Adversarial Examples. CoRR Antonio Emanuele Cinà, Jérôme Rony, Maura Pintor, Luca Demetrio, Ambra Demontis, Battista Biggio, Ismail Ben Ayed, Fabio Roli
2024	J	`jnl`	Training Graph Neural Networks Subject to a Tight Lipschitz Constraint. Trans. Mach. Learn. Res. Simona Ioana Juvina, Ana Antonia Neacsu, Jérôme Rony, Jean-Christophe Pesquet, Corneliu Burileanu, Ismail Ben Ayed
2023	A*	`conf`	Class Adaptive Network Calibration. CVPR Bingyuan Liu, Jérôme Rony, Adrian Galdran, Jose Dolz, Ismail Ben Ayed
2023	A*	`conf`	Proximal Splitting Adversarial Attack for Semantic Segmentation. CVPR Jérôme Rony, Jean-Christophe Pesquet, Ismail Ben Ayed
2022	J	`jnl`	Class Adaptive Network Calibration. CoRR Bingyuan Liu, Jérôme Rony, Adrian Galdran, Jose Dolz, Ismail Ben Ayed
2022	J	`jnl`	Deep Interpretable Classification and Weakly-Supervised Segmentation of Histology Images via Max-Min Uncertainty. IEEE Trans. Medical Imaging Soufiane Belharbi, Jérôme Rony, Jose Dolz, Ismail Ben Ayed, Luke McCaffrey, Eric Granger
2022	J	`jnl`	Leveraging Uncertainty for Deep Interpretable Classification and Weakly-Supervised Segmentation of Histology Images. CoRR Soufiane Belharbi, Jérôme Rony, Jose Dolz, Ismail Ben Ayed, Luke McCaffrey, Eric Granger
2022	J	`jnl`	Proximal Splitting Adversarial Attacks for Semantic Segmentation. CoRR Jérôme Rony, Jean-Christophe Pesquet, Ismail Ben Ayed
2021	A*	`conf`	Augmented Lagrangian Adversarial Attacks. ICCV Jérôme Rony, Eric Granger, Marco Pedersoli, Ismail Ben Ayed
2021	J	`jnl`	Mutual-Information Based Few-Shot Classification. CoRR Malik Boudiaf, Imtiaz Masud Ziko, Jérôme Rony, Jose Dolz, Ismail Ben Ayed, Pablo Piantanida
2020	—	`conf`	A Unifying Mutual Information View of Metric Learning: Cross-Entropy vs. Pairwise Losses. ECCV (6) Malik Boudiaf, Jérôme Rony, Imtiaz Masud Ziko, Eric Granger, Marco Pedersoli, Pablo Piantanida, Ismail Ben Ayed
2020	J	`jnl`	Augmented Lagrangian Adversarial Attacks. CoRR Jérôme Rony, Eric Granger, Marco Pedersoli, Ismail Ben Ayed
2020	J	`jnl`	Deep Interpretable Classification and Weakly-Supervised Segmentation of Histology Images via Max-Min Uncertainty. CoRR Soufiane Belharbi, Jérôme Rony, Jose Dolz, Ismail Ben Ayed, Luke McCaffrey, Eric Granger
2020	A*	`conf`	Information Maximization for Few-Shot Learning. NeurIPS Malik Boudiaf, Imtiaz Masud Ziko, Jérôme Rony, Jose Dolz, Pablo Piantanida, Ismail Ben Ayed
2020	J	`jnl`	Metric learning: cross-entropy vs. pairwise losses. CoRR Malik Boudiaf, Jérôme Rony, Imtiaz Masud Ziko, Eric Granger, Marco Pedersoli, Pablo Piantanida, Ismail Ben Ayed
2020	J	`jnl`	Transductive Information Maximization For Few-Shot Learning. CoRR Malik Boudiaf, Imtiaz Masud Ziko, Jérôme Rony, José Dolz, Pablo Piantanida, Ismail Ben Ayed
2019	A*	`conf`	Decoupling Direction and Norm for Efficient Gradient-Based L2 Adversarial Attacks and Defenses. CVPR Jérôme Rony, Luiz G. Hafemann, Luiz S. Oliveira, Ismail Ben Ayed, Robert Sabourin, Eric Granger
2019	J	`jnl`	Deep weakly-supervised learning methods for classification and localization in histology images: a survey. CoRR Jérôme Rony, Soufiane Belharbi, Jose Dolz, Ismail Ben Ayed, Luke McCaffrey, Eric Granger
2019	J	`jnl`	Universal Adversarial Audio Perturbations. CoRR Sajjad Abdoli, Luiz G. Hafemann, Jérôme Rony, Ismail Ben Ayed, Patrick Cardinal, Alessandro L. Koerich
2019	J	`jnl`	Weakly Supervised Object Localization using Min-Max Entropy: an Interpretable Framework. CoRR Soufiane Belharbi, Jérôme Rony, Jose Dolz, Ismail Ben Ayed, Luke McCaffrey, Eric Granger
2018	J	`jnl`	Decoupling Direction and Norm for Efficient Gradient-Based L2 Adversarial Attacks and Defenses. CoRR Jérôme Rony, Luiz G. Hafemann, Luiz S. Oliveira, Ismail Ben Ayed, Robert Sabourin, Eric Granger
2018	J	`jnl`	Multi-region segmentation of bladder cancer structures in MRI with progressive dilated convolutional networks. CoRR Jose Dolz, Xiaopan Xu, Jérôme Rony, Jing Yuan, Yang Liu, Eric Granger, Christian Desrosiers, Xi Zhang, Ismail Ben Ayed, Hongbing Lu