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Inductive Bias of Gradient Descent based Adversarial Training on
  Separable Data
v1v2v3 (latest)

Inductive Bias of Gradient Descent based Adversarial Training on Separable Data

7 June 2019
Yan Li
Ethan X. Fang
Huan Xu
T. Zhao
ArXiv (abs)PDFHTML

Papers citing "Inductive Bias of Gradient Descent based Adversarial Training on Separable Data"

12 / 12 papers shown
Title
On robust overfitting: adversarial training induced distribution matters
On robust overfitting: adversarial training induced distribution matters
Runzhi Tian
Yongyi Mao
OOD
71
1
0
28 Nov 2023
Adversarial robustness of sparse local Lipschitz predictors
Adversarial robustness of sparse local Lipschitz predictors
Ramchandran Muthukumar
Jeremias Sulam
AAML
92
13
0
26 Feb 2022
Learning to be adversarially robust and differentially private
Learning to be adversarially robust and differentially private
Jamie Hayes
Borja Balle
M. P. Kumar
FedML
62
5
0
06 Jan 2022
ARCH: Efficient Adversarial Regularized Training with Caching
ARCH: Efficient Adversarial Regularized Training with Caching
Simiao Zuo
Chen Liang
Haoming Jiang
Pengcheng He
Xiaodong Liu
Jianfeng Gao
Weizhu Chen
T. Zhao
AAML
67
3
0
15 Sep 2021
Implicit Regularization of Bregman Proximal Point Algorithm and Mirror
  Descent on Separable Data
Implicit Regularization of Bregman Proximal Point Algorithm and Mirror Descent on Separable Data
Yan Li
Caleb Ju
Ethan X. Fang
T. Zhao
53
9
0
15 Aug 2021
Advances in adversarial attacks and defenses in computer vision: A
  survey
Advances in adversarial attacks and defenses in computer vision: A survey
Naveed Akhtar
Ajmal Mian
Navid Kardan
M. Shah
AAML
157
241
0
01 Aug 2021
Improved OOD Generalization via Adversarial Training and Pre-training
Improved OOD Generalization via Adversarial Training and Pre-training
Mingyang Yi
Lu Hou
Jiacheng Sun
Lifeng Shang
Xin Jiang
Qun Liu
Zhi-Ming Ma
VLM
72
84
0
24 May 2021
Provable Robustness of Adversarial Training for Learning Halfspaces with
  Noise
Provable Robustness of Adversarial Training for Learning Halfspaces with Noise
Difan Zou
Spencer Frei
Quanquan Gu
56
13
0
19 Apr 2021
Adversarial Regularization as Stackelberg Game: An Unrolled Optimization
  Approach
Adversarial Regularization as Stackelberg Game: An Unrolled Optimization Approach
Simiao Zuo
Chen Liang
Haoming Jiang
Xiaodong Liu
Pengcheng He
Jianfeng Gao
Weizhu Chen
T. Zhao
116
9
0
11 Apr 2021
Understanding Generalization in Adversarial Training via the
  Bias-Variance Decomposition
Understanding Generalization in Adversarial Training via the Bias-Variance Decomposition
Yaodong Yu
Zitong Yang
Yan Sun
Jacob Steinhardt
Yi-An Ma
54
17
0
17 Mar 2021
Adversarial Robustness of Supervised Sparse Coding
Adversarial Robustness of Supervised Sparse Coding
Jeremias Sulam
Ramchandran Muthumukar
R. Arora
AAML
70
23
0
22 Oct 2020
Adversarial Examples Improve Image Recognition
Adversarial Examples Improve Image Recognition
Cihang Xie
Mingxing Tan
Boqing Gong
Jiang Wang
Alan Yuille
Quoc V. Le
AAML
162
567
0
21 Nov 2019
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