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Calibrated Surrogate Losses for Adversarially Robust Classification

Calibrated Surrogate Losses for Adversarially Robust Classification

28 May 2020
Han Bao
Clayton Scott
Masashi Sugiyama
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Papers citing "Calibrated Surrogate Losses for Adversarially Robust Classification"

10 / 10 papers shown
Title
Blessings and Curses of Covariate Shifts: Adversarial Learning Dynamics,
  Directional Convergence, and Equilibria
Blessings and Curses of Covariate Shifts: Adversarial Learning Dynamics, Directional Convergence, and Equilibria
Tengyuan Liang
18
1
0
05 Dec 2022
Learning Sample Reweighting for Accuracy and Adversarial Robustness
Learning Sample Reweighting for Accuracy and Adversarial Robustness
Chester Holtz
Tsui-Wei Weng
Gal Mishne
OOD
24
4
0
20 Oct 2022
The Consistency of Adversarial Training for Binary Classification
Natalie Frank
Jonathan Niles-Weed
AAML
33
5
0
18 Jun 2022
On the Existence of the Adversarial Bayes Classifier (Extended Version)
On the Existence of the Adversarial Bayes Classifier (Extended Version)
Pranjal Awasthi
Natalie Frank
M. Mohri
21
24
0
03 Dec 2021
Mixed Nash Equilibria in the Adversarial Examples Game
Mixed Nash Equilibria in the Adversarial Examples Game
Laurent Meunier
M. Scetbon
Rafael Pinot
Jamal Atif
Y. Chevaleyre
AAML
15
29
0
13 Feb 2021
Relative Deviation Margin Bounds
Relative Deviation Margin Bounds
Corinna Cortes
M. Mohri
A. Suresh
12
14
0
26 Jun 2020
Adversarial examples from computational constraints
Adversarial examples from computational constraints
Sébastien Bubeck
Eric Price
Ilya P. Razenshteyn
AAML
62
230
0
25 May 2018
Multiclass Classification Calibration Functions
Multiclass Classification Calibration Functions
Bernardo Avila-Pires
Csaba Szepesvári
67
27
0
20 Sep 2016
On the Consistency of AUC Pairwise Optimization
On the Consistency of AUC Pairwise Optimization
Wei Gao
Zhi-Hua Zhou
61
123
0
03 Aug 2012
Domain Adaptation: Learning Bounds and Algorithms
Domain Adaptation: Learning Bounds and Algorithms
Yishay Mansour
M. Mohri
Afshin Rostamizadeh
179
789
0
19 Feb 2009
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