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Doubly Robust Instance-Reweighted Adversarial Training

Doubly Robust Instance-Reweighted Adversarial Training

1 August 2023
Daouda Sow
Sen-Fon Lin
Zhangyang Wang
Yitao Liang
    AAML
    OOD
ArXivPDFHTML

Papers citing "Doubly Robust Instance-Reweighted Adversarial Training"

27 / 27 papers shown
Title
Improving Robustness using Generated Data
Improving Robustness using Generated Data
Sven Gowal
Sylvestre-Alvise Rebuffi
Olivia Wiles
Florian Stimberg
D. A. Calian
Timothy A. Mann
66
299
0
18 Oct 2021
Towards Gradient-based Bilevel Optimization with Non-convex Followers
  and Beyond
Towards Gradient-based Bilevel Optimization with Non-convex Followers and Beyond
Risheng Liu
Yaohua Liu
Shangzhi Zeng
Jin Zhang
81
82
0
01 Oct 2021
Analysis and Applications of Class-wise Robustness in Adversarial
  Training
Analysis and Applications of Class-wise Robustness in Adversarial Training
Qi Tian
Kun Kuang
Ke Jiang
Leilei Gan
Yisen Wang
AAML
49
47
0
29 May 2021
Lower Bounds and Accelerated Algorithms for Bilevel Optimization
Lower Bounds and Accelerated Algorithms for Bilevel Optimization
Kaiyi Ji
Yingbin Liang
38
57
0
07 Feb 2021
Bilevel Optimization: Convergence Analysis and Enhanced Design
Bilevel Optimization: Convergence Analysis and Enhanced Design
Kaiyi Ji
Junjie Yang
Yingbin Liang
169
258
0
15 Oct 2020
Geometry-aware Instance-reweighted Adversarial Training
Geometry-aware Instance-reweighted Adversarial Training
Jingfeng Zhang
Jianing Zhu
Gang Niu
Bo Han
Masashi Sugiyama
Mohan Kankanhalli
AAML
53
276
0
05 Oct 2020
Solving Stochastic Compositional Optimization is Nearly as Easy as
  Solving Stochastic Optimization
Solving Stochastic Compositional Optimization is Nearly as Easy as Solving Stochastic Optimization
Tianyi Chen
Yuejiao Sun
W. Yin
101
82
0
25 Aug 2020
Convergence of Meta-Learning with Task-Specific Adaptation over Partial
  Parameters
Convergence of Meta-Learning with Task-Specific Adaptation over Partial Parameters
Kaiyi Ji
Jason D. Lee
Yingbin Liang
H. Vincent Poor
150
76
0
16 Jun 2020
A Generic First-Order Algorithmic Framework for Bi-Level Programming
  Beyond Lower-Level Singleton
A Generic First-Order Algorithmic Framework for Bi-Level Programming Beyond Lower-Level Singleton
Risheng Liu
Pan Mu
Xiaoming Yuan
Shangzhi Zeng
Jin Zhang
53
129
0
07 Jun 2020
Reliable evaluation of adversarial robustness with an ensemble of
  diverse parameter-free attacks
Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks
Francesco Croce
Matthias Hein
AAML
211
1,837
0
03 Mar 2020
Overfitting in adversarially robust deep learning
Overfitting in adversarially robust deep learning
Leslie Rice
Eric Wong
Zico Kolter
94
800
0
26 Feb 2020
Attacks Which Do Not Kill Training Make Adversarial Learning Stronger
Attacks Which Do Not Kill Training Make Adversarial Learning Stronger
Jingfeng Zhang
Xilie Xu
Bo Han
Gang Niu
Li-zhen Cui
Masashi Sugiyama
Mohan S. Kankanhalli
AAML
56
404
0
26 Feb 2020
On the Decision Boundaries of Neural Networks: A Tropical Geometry
  Perspective
On the Decision Boundaries of Neural Networks: A Tropical Geometry Perspective
Motasem Alfarra
Adel Bibi
Hasan Hammoud
M. Gaafar
Guohao Li
48
26
0
20 Feb 2020
Compositional ADAM: An Adaptive Compositional Solver
Compositional ADAM: An Adaptive Compositional Solver
Rasul Tutunov
Minne Li
Alexander I. Cowen-Rivers
Jun Wang
Haitham Bou-Ammar
ODL
79
16
0
10 Feb 2020
Optimizing Millions of Hyperparameters by Implicit Differentiation
Optimizing Millions of Hyperparameters by Implicit Differentiation
Jonathan Lorraine
Paul Vicol
David Duvenaud
DD
104
414
0
06 Nov 2019
Meta-Learning with Implicit Gradients
Meta-Learning with Implicit Gradients
Aravind Rajeswaran
Chelsea Finn
Sham Kakade
Sergey Levine
94
854
0
10 Sep 2019
Adversarial Attack Generation Empowered by Min-Max Optimization
Adversarial Attack Generation Empowered by Min-Max Optimization
Jingkang Wang
Tianyun Zhang
Sijia Liu
Pin-Yu Chen
Jiacen Xu
M. Fardad
Yangqiu Song
AAML
46
37
0
09 Jun 2019
Unlabeled Data Improves Adversarial Robustness
Unlabeled Data Improves Adversarial Robustness
Y. Carmon
Aditi Raghunathan
Ludwig Schmidt
Percy Liang
John C. Duchi
119
751
0
31 May 2019
Truncated Back-propagation for Bilevel Optimization
Truncated Back-propagation for Bilevel Optimization
Amirreza Shaban
Ching-An Cheng
Nathan Hatch
Byron Boots
96
265
0
25 Oct 2018
DARTS: Differentiable Architecture Search
DARTS: Differentiable Architecture Search
Hanxiao Liu
Karen Simonyan
Yiming Yang
185
4,345
0
24 Jun 2018
Meta-learning with differentiable closed-form solvers
Meta-learning with differentiable closed-form solvers
Luca Bertinetto
João F. Henriques
Philip Torr
Andrea Vedaldi
ODL
80
928
0
21 May 2018
Learning to Reweight Examples for Robust Deep Learning
Learning to Reweight Examples for Robust Deep Learning
Mengye Ren
Wenyuan Zeng
Binh Yang
R. Urtasun
OOD
NoLa
139
1,424
0
24 Mar 2018
Obfuscated Gradients Give a False Sense of Security: Circumventing
  Defenses to Adversarial Examples
Obfuscated Gradients Give a False Sense of Security: Circumventing Defenses to Adversarial Examples
Anish Athalye
Nicholas Carlini
D. Wagner
AAML
187
3,180
0
01 Feb 2018
Towards Deep Learning Models Resistant to Adversarial Attacks
Towards Deep Learning Models Resistant to Adversarial Attacks
Aleksander Madry
Aleksandar Makelov
Ludwig Schmidt
Dimitris Tsipras
Adrian Vladu
SILM
OOD
269
12,029
0
19 Jun 2017
The Space of Transferable Adversarial Examples
The Space of Transferable Adversarial Examples
Florian Tramèr
Nicolas Papernot
Ian Goodfellow
Dan Boneh
Patrick McDaniel
AAML
SILM
79
556
0
11 Apr 2017
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
806
11,866
0
09 Mar 2017
Intriguing properties of neural networks
Intriguing properties of neural networks
Christian Szegedy
Wojciech Zaremba
Ilya Sutskever
Joan Bruna
D. Erhan
Ian Goodfellow
Rob Fergus
AAML
239
14,893
1
21 Dec 2013
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