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Adversarially Robust Estimate and Risk Analysis in Linear Regression

Adversarially Robust Estimate and Risk Analysis in Linear Regression

18 December 2020
Yue Xing
Ruizhi Zhang
Guang Cheng
    AAML
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Papers citing "Adversarially Robust Estimate and Risk Analysis in Linear Regression"

7 / 7 papers shown
Title
$H$-Consistency Guarantees for Regression
HHH-Consistency Guarantees for Regression
Anqi Mao
M. Mohri
Yutao Zhong
33
9
0
28 Mar 2024
Robust Linear Regression: Phase-Transitions and Precise Tradeoffs for
  General Norms
Robust Linear Regression: Phase-Transitions and Precise Tradeoffs for General Norms
Elvis Dohmatob
M. Scetbon
AAML
OOD
21
0
0
01 Aug 2023
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
20
1
0
05 Dec 2022
Stability Analysis and Generalization Bounds of Adversarial Training
Stability Analysis and Generalization Bounds of Adversarial Training
Jiancong Xiao
Yanbo Fan
Ruoyu Sun
Jue Wang
Zhimin Luo
AAML
32
30
0
03 Oct 2022
A Characterization of Semi-Supervised Adversarially-Robust PAC
  Learnability
A Characterization of Semi-Supervised Adversarially-Robust PAC Learnability
Idan Attias
Steve Hanneke
Yishay Mansour
30
15
0
11 Feb 2022
On the Convergence and Robustness of Adversarial Training
On the Convergence and Robustness of Adversarial Training
Yisen Wang
Xingjun Ma
James Bailey
Jinfeng Yi
Bowen Zhou
Quanquan Gu
AAML
194
345
0
15 Dec 2021
Adversarial Machine Learning at Scale
Adversarial Machine Learning at Scale
Alexey Kurakin
Ian Goodfellow
Samy Bengio
AAML
273
3,110
0
04 Nov 2016
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