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Stability and Generalization in Free Adversarial Training

Stability and Generalization in Free Adversarial Training

8 January 2025
Xiwei Cheng
Kexin Fu
Farzan Farnia
    AAML
ArXivPDFHTML

Papers citing "Stability and Generalization in Free Adversarial Training"

43 / 43 papers shown
Title
Adversarial Rademacher Complexity of Deep Neural Networks
Adversarial Rademacher Complexity of Deep Neural Networks
Jiancong Xiao
Yanbo Fan
Ruoyu Sun
Zhimin Luo
AAML
44
23
0
27 Nov 2022
Efficiently Computing Local Lipschitz Constants of Neural Networks via
  Bound Propagation
Efficiently Computing Local Lipschitz Constants of Neural Networks via Bound Propagation
Zhouxing Shi
Yihan Wang
Huan Zhang
Zico Kolter
Cho-Jui Hsieh
137
42
0
13 Oct 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
65
31
0
03 Oct 2022
Stability and Generalization of Stochastic Optimization with Nonconvex
  and Nonsmooth Problems
Stability and Generalization of Stochastic Optimization with Nonconvex and Nonsmooth Problems
Yunwen Lei
32
19
0
14 Jun 2022
What is a Good Metric to Study Generalization of Minimax Learners?
What is a Good Metric to Study Generalization of Minimax Learners?
Asuman Ozdaglar
S. Pattathil
Jiawei Zhang
Kai Zhang
45
13
0
09 Jun 2022
Fast Adversarial Training with Adaptive Step Size
Fast Adversarial Training with Adaptive Step Size
Zhichao Huang
Yanbo Fan
Chen Liu
Weizhong Zhang
Yong Zhang
Mathieu Salzmann
Sabine Süsstrunk
Jue Wang
AAML
38
33
0
06 Jun 2022
Differentially Private SGDA for Minimax Problems
Differentially Private SGDA for Minimax Problems
Zhenhuan Yang
Shu Hu
Yunwen Lei
Kush R. Varshney
Siwei Lyu
Yiming Ying
63
20
0
22 Jan 2022
Stability and Generalization of Stochastic Gradient Methods for Minimax
  Problems
Stability and Generalization of Stochastic Gradient Methods for Minimax Problems
Yunwen Lei
Zhenhuan Yang
Tianbao Yang
Yiming Ying
52
48
0
08 May 2021
Low Curvature Activations Reduce Overfitting in Adversarial Training
Low Curvature Activations Reduce Overfitting in Adversarial Training
Vasu Singla
Sahil Singla
David Jacobs
Soheil Feizi
AAML
59
47
0
15 Feb 2021
Train simultaneously, generalize better: Stability of gradient-based
  minimax learners
Train simultaneously, generalize better: Stability of gradient-based minimax learners
Farzan Farnia
Asuman Ozdaglar
59
48
0
23 Oct 2020
Understanding Catastrophic Overfitting in Single-step Adversarial
  Training
Understanding Catastrophic Overfitting in Single-step Adversarial Training
Hoki Kim
Woojin Lee
Jaewook Lee
AAML
96
112
0
05 Oct 2020
Understanding and Improving Fast Adversarial Training
Understanding and Improving Fast Adversarial Training
Maksym Andriushchenko
Nicolas Flammarion
AAML
71
289
0
06 Jul 2020
Smooth Adversarial Training
Smooth Adversarial Training
Cihang Xie
Mingxing Tan
Boqing Gong
Alan Yuille
Quoc V. Le
OOD
75
153
0
25 Jun 2020
Stability of Stochastic Gradient Descent on Nonsmooth Convex Losses
Stability of Stochastic Gradient Descent on Nonsmooth Convex Losses
Raef Bassily
Vitaly Feldman
Cristóbal Guzmán
Kunal Talwar
MLT
47
195
0
12 Jun 2020
Adversarial Learning Guarantees for Linear Hypotheses and Neural
  Networks
Adversarial Learning Guarantees for Linear Hypotheses and Neural Networks
Pranjal Awasthi
Natalie Frank
M. Mohri
AAML
63
57
0
28 Apr 2020
Overfitting in adversarially robust deep learning
Overfitting in adversarially robust deep learning
Leslie Rice
Eric Wong
Zico Kolter
94
801
0
26 Feb 2020
Fast is better than free: Revisiting adversarial training
Fast is better than free: Revisiting adversarial training
Eric Wong
Leslie Rice
J. Zico Kolter
AAML
OOD
138
1,177
0
12 Jan 2020
Square Attack: a query-efficient black-box adversarial attack via random
  search
Square Attack: a query-efficient black-box adversarial attack via random search
Maksym Andriushchenko
Francesco Croce
Nicolas Flammarion
Matthias Hein
AAML
81
987
0
29 Nov 2019
Generalization in Generative Adversarial Networks: A Novel Perspective
  from Privacy Protection
Generalization in Generative Adversarial Networks: A Novel Perspective from Privacy Protection
Bingzhe Wu
Shiwan Zhao
Chaochao Chen
Haoyang Xu
Li Wang
Xiaolu Zhang
Guangyu Sun
Jun Zhou
52
45
0
21 Aug 2019
Adversarial Training Can Hurt Generalization
Adversarial Training Can Hurt Generalization
Aditi Raghunathan
Sang Michael Xie
Fanny Yang
John C. Duchi
Percy Liang
82
242
0
14 Jun 2019
Efficient and Accurate Estimation of Lipschitz Constants for Deep Neural
  Networks
Efficient and Accurate Estimation of Lipschitz Constants for Deep Neural Networks
Mahyar Fazlyab
Alexander Robey
Hamed Hassani
M. Morari
George J. Pappas
87
457
0
12 Jun 2019
Adversarial Training for Free!
Adversarial Training for Free!
Ali Shafahi
Mahyar Najibi
Amin Ghiasi
Zheng Xu
John P. Dickerson
Christoph Studer
L. Davis
Gavin Taylor
Tom Goldstein
AAML
125
1,247
0
29 Apr 2019
VC Classes are Adversarially Robustly Learnable, but Only Improperly
VC Classes are Adversarially Robustly Learnable, but Only Improperly
Omar Montasser
Steve Hanneke
Nathan Srebro
29
139
0
12 Feb 2019
Theoretically Principled Trade-off between Robustness and Accuracy
Theoretically Principled Trade-off between Robustness and Accuracy
Hongyang R. Zhang
Yaodong Yu
Jiantao Jiao
Eric Xing
L. Ghaoui
Michael I. Jordan
129
2,549
0
24 Jan 2019
Generalizable Adversarial Training via Spectral Normalization
Generalizable Adversarial Training via Spectral Normalization
Farzan Farnia
Jesse M. Zhang
David Tse
OOD
AAML
73
140
0
19 Nov 2018
A Convergence Theory for Deep Learning via Over-Parameterization
A Convergence Theory for Deep Learning via Over-Parameterization
Zeyuan Allen-Zhu
Yuanzhi Li
Zhao Song
AI4CE
ODL
242
1,462
0
09 Nov 2018
Gradient Descent Finds Global Minima of Deep Neural Networks
Gradient Descent Finds Global Minima of Deep Neural Networks
S. Du
Jason D. Lee
Haochuan Li
Liwei Wang
Masayoshi Tomizuka
ODL
192
1,135
0
09 Nov 2018
Rademacher Complexity for Adversarially Robust Generalization
Rademacher Complexity for Adversarially Robust Generalization
Dong Yin
Kannan Ramchandran
Peter L. Bartlett
AAML
86
260
0
29 Oct 2018
Improved Generalization Bounds for Adversarially Robust Learning
Improved Generalization Bounds for Adversarially Robust Learning
Idan Attias
A. Kontorovich
Yishay Mansour
51
17
0
04 Oct 2018
Approximability of Discriminators Implies Diversity in GANs
Approximability of Discriminators Implies Diversity in GANs
Yu Bai
Tengyu Ma
Andrej Risteski
54
74
0
27 Jun 2018
Adversarially Robust Generalization Requires More Data
Adversarially Robust Generalization Requires More Data
Ludwig Schmidt
Shibani Santurkar
Dimitris Tsipras
Kunal Talwar
Aleksander Madry
OOD
AAML
131
790
0
30 Apr 2018
Adversarial Logit Pairing
Adversarial Logit Pairing
Harini Kannan
Alexey Kurakin
Ian Goodfellow
AAML
95
628
0
16 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
216
3,185
0
01 Feb 2018
On the Discrimination-Generalization Tradeoff in GANs
On the Discrimination-Generalization Tradeoff in GANs
Pengchuan Zhang
Qiang Liu
Dengyong Zhou
Tao Xu
Xiaodong He
57
103
0
07 Nov 2017
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
304
12,063
0
19 Jun 2017
Generalization and Equilibrium in Generative Adversarial Nets (GANs)
Generalization and Equilibrium in Generative Adversarial Nets (GANs)
Sanjeev Arora
Rong Ge
Yingyu Liang
Tengyu Ma
Yi Zhang
GAN
54
688
0
02 Mar 2017
Towards Evaluating the Robustness of Neural Networks
Towards Evaluating the Robustness of Neural Networks
Nicholas Carlini
D. Wagner
OOD
AAML
261
8,552
0
16 Aug 2016
Wide Residual Networks
Wide Residual Networks
Sergey Zagoruyko
N. Komodakis
334
7,984
0
23 May 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.2K
193,878
0
10 Dec 2015
Train faster, generalize better: Stability of stochastic gradient
  descent
Train faster, generalize better: Stability of stochastic gradient descent
Moritz Hardt
Benjamin Recht
Y. Singer
114
1,240
0
03 Sep 2015
Explaining and Harnessing Adversarial Examples
Explaining and Harnessing Adversarial Examples
Ian Goodfellow
Jonathon Shlens
Christian Szegedy
AAML
GAN
274
19,049
0
20 Dec 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition
Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan
Andrew Zisserman
FAtt
MDE
1.6K
100,348
0
04 Sep 2014
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
268
14,918
1
21 Dec 2013
1