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Adversarial Classification: Necessary conditions and geometric flows
v1v2 (latest)

Adversarial Classification: Necessary conditions and geometric flows

Journal of machine learning research (JMLR), 2020
21 November 2020
Nicolas García Trillos
Ryan W. Murray
    AAML
ArXiv (abs)PDFHTML

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

13 / 13 papers shown
Uniform Convergence of Adversarially Robust Classifiers
Uniform Convergence of Adversarially Robust Classifiers
Rachel Morris
Ryan Murray
AAML
258
2
0
20 Jun 2024
A Notion of Uniqueness for the Adversarial Bayes Classifier
A Notion of Uniqueness for the Adversarial Bayes Classifier
Natalie S. Frank
434
2
0
25 Apr 2024
The Adversarial Consistency of Surrogate Risks for Binary Classification
The Adversarial Consistency of Surrogate Risks for Binary ClassificationNeural Information Processing Systems (NeurIPS), 2023
Natalie Frank
Jonathan Niles-Weed
AAML
402
8
0
17 May 2023
On the existence of solutions to adversarial training in multiclass
  classification
On the existence of solutions to adversarial training in multiclass classificationEuropean journal of applied mathematics (EJAM), 2023
Nicolas García Trillos
Matt Jacobs
Jakwang Kim
380
11
0
28 Apr 2023
On adversarial robustness and the use of Wasserstein ascent-descent
  dynamics to enforce it
On adversarial robustness and the use of Wasserstein ascent-descent dynamics to enforce it
Camilo A. Garcia Trillos
Nicolas García Trillos
341
8
0
09 Jan 2023
Gamma-convergence of a nonlocal perimeter arising in adversarial machine
  learning
Gamma-convergence of a nonlocal perimeter arising in adversarial machine learningCalculus of Variations and Partial Differential Equations (CVPDE), 2022
Leon Bungert
Kerrek Stinson
353
16
0
28 Nov 2022
The Consistency of Adversarial Training for Binary Classification
Natalie Frank
Jonathan Niles-Weed
AAML
295
5
0
18 Jun 2022
Existence and Minimax Theorems for Adversarial Surrogate Risks in Binary
  Classification
Existence and Minimax Theorems for Adversarial Surrogate Risks in Binary ClassificationJournal of machine learning research (JMLR), 2022
Natalie Frank
Jonathan Niles-Weed
AAML
388
17
0
18 Jun 2022
The Multimarginal Optimal Transport Formulation of Adversarial
  Multiclass Classification
The Multimarginal Optimal Transport Formulation of Adversarial Multiclass ClassificationJournal of machine learning research (JMLR), 2022
Nicolas García Trillos
Matt Jacobs
Jakwang Kim
OT
448
31
0
27 Apr 2022
The Many Faces of Adversarial Risk
The Many Faces of Adversarial RiskIEEE Transactions on Information Theory (IEEE Trans. Inf. Theory), 2022
Muni Sreenivas Pydi
Varun Jog
AAML
223
33
0
22 Jan 2022
Eikonal depth: an optimal control approach to statistical depths
Eikonal depth: an optimal control approach to statistical depthsFoundations of Data Science (FODS), 2022
M. Molina-Fructuoso
Ryan W. Murray
MDE
267
4
0
14 Jan 2022
The Geometry of Adversarial Training in Binary Classification
The Geometry of Adversarial Training in Binary Classification
Leon Bungert
Nicolas García Trillos
Ryan W. Murray
AAML
378
27
0
26 Nov 2021
On the regularized risk of distributionally robust learning over deep
  neural networks
On the regularized risk of distributionally robust learning over deep neural networks
Camilo A. Garcia Trillos
Nicolas García Trillos
OOD
392
13
0
13 Sep 2021
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