Guillermo Ortiz-Jiménez,
Pau de Jorge,
Amartya Sanyal,
Adel Bibi,
Puneet K. Dokania,
Pascal Frossard,
Gregory Rogéz,
Philip H.S. Torr
(2023).
Catastrophic Overfitting is a Bug but also a Feature.
Transactions of Machine Learning Research (TMLR23).
Yasir Ghunaim,
Adel Bibi,
Kumail Alhamoud,
Motasem Alfarra,
Hasan Abed Al Kader Hammoud,
Ameya Prabhu,
Philip H. S. Torr,
Bernard Ghanem
(2023).
Real-Time Evaluation in Online Continual Learning: A New Hope.
Computer Vision and Pattern Recognition (CVPR23) [Highlight].
Motasem Alfarra,
Adel Bibi,
Philip H.S. Torr,
Bernard Ghanem
(2022).
Data Dependent Randomized Smoothing.
Uncertainty in Artificial Intelligence (UAI22).
Motasem Alfarra,
Juan C. Pérez,
Ali Thabet,
Adel Bibi,
Philip H.S. Torr,
Bernard Ghanem
(2022).
Combating Adversaries with Anti-Adversaries.
Association for the Advancement of Artificial Intelligence (AAAI22).
Motasem Alfarra,
Juan C. Pérez,
Adel Bibi,
Ali Thabet,
Pablo Arbeláez,
Bernard Ghanem
(2021).
ClusTR: Clustering Training for Robustness.
British Machine Vision Conference (BMVC21).
Salman Alsubaihi,
Adel Bibi,
Modar Alfadly,
Abdullah Hamdi,
Bernard Ghanem
(2021).
Expected Tight Bounds for Robust Deep Neural Network Training.
Robust Machine Learning Workshop at the International Conference on Learning Representations (ICLRW17).
Juan C. Pérez,
Motasem Alfarra,
Guillaume Jeanneret,
Adel Bibi,
Ali Thabet,
Bernard Ghanem,
Pablo Arbeláez
(2020).
Gabor Layers Enhance Network Robustness.
European Conference on Computer Vision (ECCV20).
Adel Bibi,
Bernard Ghanem,
Vladlen Koltun,
Rene Ranftl
(2019).
Deep Layers as Stochastic Solvers.
International Conference on Learning Representation (ICLR19).