Boissin, Thibaut

12 publications

ICML 2025 An Adaptive Orthogonal Convolution Scheme for Efficient and Flexible CNN Architectures Thibaut Boissin, Franck Mamalet, Thomas Fel, Agustin Martin Picard, Thomas Massena, Mathieu Serrurier

ICLRW 2025 Beyond Adversarial Robustness: Breaking the Robustness-Alignment Trade-Off in Object Recognition Pinyuan Feng, Drew Linsley, Thibaut Boissin, Alekh Karkada Ashok, Thomas Fel, Stephanie Olaiya, Thomas Serre

ICML 2025 Efficient Robust Conformal Prediction via Lipschitz-Bounded Networks Thomas Massena, Léo Andéol, Thibaut Boissin, Franck Mamalet, Corentin Friedrich, Mathieu Serrurier, Sébastien Gerchinovitz

ICLR 2024 DP-SGD Without Clipping: The Lipschitz Neural Network Way Louis Béthune, Thomas Massena, Thibaut Boissin, Aurélien Bellet, Franck Mamalet, Yannick Prudent, Corentin Friedrich, Mathieu Serrurier, David Vigouroux

MLJ 2024 Fairness Seen as Global Sensitivity Analysis Clément Benesse, Fabrice Gamboa, Jean-Michel Loubes, Thibaut Boissin

CVPR 2023 CRAFT: Concept Recursive Activation FacTorization for Explainability Thomas Fel, Agustin Picard, Louis Béthune, Thibaut Boissin, David Vigouroux, Julien Colin, Rémi Cadène, Thomas Serre

NeurIPS 2023 On the Explainable Properties of 1-Lipschitz Neural Networks: An Optimal Transport Perspective Mathieu Serrurier, Franck Mamalet, Thomas Fel, Louis Béthune, Thibaut Boissin

NeurIPSW 2023 On the Explainable Properties of 1-Lipschitz Neural Networks: An Optimal Transport Perspective Mathieu Serrurier, Franck Mamalet, Thomas Fel, Louis Béthune, Thibaut Boissin

ICML 2023 Robust One-Class Classification with Signed Distance Function Using 1-Lipschitz Neural Networks Louis Béthune, Paul Novello, Guillaume Coiffier, Thibaut Boissin, Mathieu Serrurier, Quentin Vincenot, Andres Troya-Galvis

NeurIPS 2023 Unlocking Feature Visualization for Deep Network with MAgnitude Constrained Optimization Thomas Fel, Thibaut Boissin, Victor Boutin, Agustin Picard, Paul Novello, Julien Colin, Drew Linsley, Tom Rousseau, Remi Cadene, Lore Goetschalckx, Laurent Gardes, Thomas Serre

NeurIPS 2022 Pay Attention to Your Loss : Understanding Misconceptions About Lipschitz Neural Networks Louis Béthune, Thibaut Boissin, Mathieu Serrurier, Franck Mamalet, Corentin Friedrich, Alberto Gonzalez Sanz

CVPR 2021 Achieving Robustness in Classification Using Optimal Transport with Hinge Regularization Mathieu Serrurier, Franck Mamalet, Alberto Gonzalez-Sanz, Thibaut Boissin, Jean-Michel Loubes, Eustasio del Barrio