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2404.08980
Cited By
Stability and Generalization in Free Adversarial Training
8 January 2025
Xiwei Cheng
Kexin Fu
Farzan Farnia
AAML
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Papers citing
"Stability and Generalization in Free Adversarial Training"
43 / 43 papers shown
Title
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
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
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
Yunwen Lei
32
19
0
14 Jun 2022
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
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
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
Yunwen Lei
Zhenhuan Yang
Tianbao Yang
Yiming Ying
52
48
0
08 May 2021
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
Farzan Farnia
Asuman Ozdaglar
59
48
0
23 Oct 2020
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
Maksym Andriushchenko
Nicolas Flammarion
AAML
71
289
0
06 Jul 2020
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
Raef Bassily
Vitaly Feldman
Cristóbal Guzmán
Kunal Talwar
MLT
47
195
0
12 Jun 2020
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
Leslie Rice
Eric Wong
Zico Kolter
94
801
0
26 Feb 2020
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
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
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
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
Mahyar Fazlyab
Alexander Robey
Hamed Hassani
M. Morari
George J. Pappas
87
457
0
12 Jun 2019
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
Omar Montasser
Steve Hanneke
Nathan Srebro
29
139
0
12 Feb 2019
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
Farzan Farnia
Jesse M. Zhang
David Tse
OOD
AAML
73
140
0
19 Nov 2018
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
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
Dong Yin
Kannan Ramchandran
Peter L. Bartlett
AAML
86
260
0
29 Oct 2018
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
Yu Bai
Tengyu Ma
Andrej Risteski
54
74
0
27 Jun 2018
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
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
Anish Athalye
Nicholas Carlini
D. Wagner
AAML
216
3,185
0
01 Feb 2018
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
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)
Sanjeev Arora
Rong Ge
Yingyu Liang
Tengyu Ma
Yi Zhang
GAN
54
688
0
02 Mar 2017
Towards Evaluating the Robustness of Neural Networks
Nicholas Carlini
D. Wagner
OOD
AAML
261
8,552
0
16 Aug 2016
Wide Residual Networks
Sergey Zagoruyko
N. Komodakis
334
7,984
0
23 May 2016
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
Moritz Hardt
Benjamin Recht
Y. Singer
114
1,240
0
03 Sep 2015
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
Karen Simonyan
Andrew Zisserman
FAtt
MDE
1.6K
100,348
0
04 Sep 2014
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