Adversarial Classification: Necessary conditions and geometric flows

21 November 2020

Papers citing "Adversarial Classification: Necessary conditions and geometric flows"

17 / 17 papers shown

Title
Optimal sequencing depth for single-cell RNA-sequencing in Wasserstein space Jakwang Kim Sharvaj Kubal Geoffrey Schiebinger 24 1 0 22 Sep 2024
Uniform Convergence of Adversarially Robust Classifiers Rachel Morris Ryan Murray AAML 40 1 0 20 Jun 2024
Adversarial Consistency and the Uniqueness of the Adversarial Bayes Classifier Natalie S. Frank 154 0 0 26 Apr 2024
A Notion of Uniqueness for the Adversarial Bayes Classifier Natalie S. Frank 32 1 0 25 Apr 2024
An Optimal Transport Approach for Computing Adversarial Training Lower Bounds in Multiclass Classification Nicolas García Trillos Matt Jacobs Jakwang Kim Matthew Werenski AAML 43 2 0 17 Jan 2024
The Adversarial Consistency of Surrogate Risks for Binary Classification Natalie Frank Jonathan Niles-Weed AAML 25 5 0 17 May 2023
On the existence of solutions to adversarial training in multiclass classification Nicolas García Trillos Matt Jacobs Jakwang Kim 18 8 0 28 Apr 2023
On adversarial robustness and the use of Wasserstein ascent-descent dynamics to enforce it Camilo A. Garcia Trillos Nicolas García Trillos 16 5 0 09 Jan 2023
Gamma-convergence of a nonlocal perimeter arising in adversarial machine learning Leon Bungert Kerrek Stinson 24 12 0 28 Nov 2022
The Consistency of Adversarial Training for Binary Classification Natalie Frank Jonathan Niles-Weed AAML 33 5 0 18 Jun 2022
Existence and Minimax Theorems for Adversarial Surrogate Risks in Binary Classification Natalie Frank Jonathan Niles-Weed AAML 19 14 0 18 Jun 2022
The Multimarginal Optimal Transport Formulation of Adversarial Multiclass Classification Nicolas García Trillos Matt Jacobs Jakwang Kim OT 14 23 0 27 Apr 2022
The Many Faces of Adversarial Risk Muni Sreenivas Pydi Varun Jog AAML 43 29 0 22 Jan 2022
Eikonal depth: an optimal control approach to statistical depths M. Molina-Fructuoso Ryan W. Murray MDE 24 4 0 14 Jan 2022
The Geometry of Adversarial Training in Binary Classification Leon Bungert Nicolas García Trillos Ryan W. Murray AAML 22 22 0 26 Nov 2021
On the regularized risk of distributionally robust learning over deep neural networks Camilo A. Garcia Trillos Nicolas García Trillos OOD 37 10 0 13 Sep 2021
Adversarial examples from computational constraints Sébastien Bubeck Eric Price Ilya P. Razenshteyn AAML 65 230 0 25 May 2018