On the regularized risk of distributionally robust learning over deep neural networks

13 September 2021

Papers citing "On the regularized risk of distributionally robust learning over deep neural networks"

7 / 7 papers shown

Title
Wasserstein distributional adversarial training for deep neural networks Xingjian Bai Guangyi He Yifan Jiang Jan Obloj OOD 56 0 0 13 Feb 2025
A minimax optimal control approach for robust neural ODEs Cristina Cipriani Alessandro Scagliotti Tobias Wöhrer AAML 11 4 0 26 Oct 2023
Wasserstein distributional robustness of neural networks Xingjian Bai Guangyi He Yifan Jiang J. Obłój OOD AAML 21 6 0 16 Jun 2023
On adversarial robustness and the use of Wasserstein ascent-descent dynamics to enforce it Camilo A. Garcia Trillos Nicolas García Trillos 18 5 0 09 Jan 2023
Gamma-convergence of a nonlocal perimeter arising in adversarial machine learning Leon Bungert Kerrek Stinson 29 12 0 28 Nov 2022
The Geometry of Adversarial Training in Binary Classification Leon Bungert Nicolas García Trillos Ryan W. Murray AAML 27 22 0 26 Nov 2021
Robust Certification for Laplace Learning on Geometric Graphs Matthew Thorpe Bao Wang OOD AAML 14 1 0 22 Apr 2021