Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
2005.13748
Cited By
Calibrated Surrogate Losses for Adversarially Robust Classification
28 May 2020
Han Bao
Clayton Scott
Masashi Sugiyama
Re-assign community
ArXiv
PDF
HTML
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
Tengyuan Liang
18
1
0
05 Dec 2022
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)
Pranjal Awasthi
Natalie Frank
M. Mohri
21
24
0
03 Dec 2021
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
Corinna Cortes
M. Mohri
A. Suresh
12
14
0
26 Jun 2020
Adversarial examples from computational constraints
Sébastien Bubeck
Eric Price
Ilya P. Razenshteyn
AAML
62
230
0
25 May 2018
Multiclass Classification Calibration Functions
Bernardo Avila-Pires
Csaba Szepesvári
67
27
0
20 Sep 2016
On the Consistency of AUC Pairwise Optimization
Wei Gao
Zhi-Hua Zhou
61
123
0
03 Aug 2012
Domain Adaptation: Learning Bounds and Algorithms
Yishay Mansour
M. Mohri
Afshin Rostamizadeh
179
789
0
19 Feb 2009
1