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2401.13624
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Can overfitted deep neural networks in adversarial training generalize? -- An approximation viewpoint
24 January 2024
Zhongjie Shi
Fanghui Liu
Yuan Cao
Johan A. K. Suykens
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Papers citing
"Can overfitted deep neural networks in adversarial training generalize? -- An approximation viewpoint"
11 / 11 papers shown
Title
Exploring Memorization in Adversarial Training
Yinpeng Dong
Ke Xu
Xiao Yang
Tianyu Pang
Zhijie Deng
Hang Su
Jun Zhu
TDI
33
72
0
03 Jun 2021
Robust Classification Under
ℓ
0
\ell_0
ℓ
0
Attack for the Gaussian Mixture Model
Payam Delgosha
Hamed Hassani
Ramtin Pedarsani
AAML
35
8
0
05 Apr 2021
Overfitting in adversarially robust deep learning
Leslie Rice
Eric Wong
Zico Kolter
62
794
0
26 Feb 2020
Lower Bounds on Adversarial Robustness from Optimal Transport
A. Bhagoji
Daniel Cullina
Prateek Mittal
OOD
OT
AAML
36
92
0
26 Sep 2019
Adversarial Training Can Hurt Generalization
Aditi Raghunathan
Sang Michael Xie
Fanny Yang
John C. Duchi
Percy Liang
42
241
0
14 Jun 2019
Adversarial Examples Are Not Bugs, They Are Features
Andrew Ilyas
Shibani Santurkar
Dimitris Tsipras
Logan Engstrom
Brandon Tran
Aleksander Madry
SILM
68
1,825
0
06 May 2019
Error bounds for approximations with deep ReLU neural networks in
W
s
,
p
W^{s,p}
W
s
,
p
norms
Ingo Gühring
Gitta Kutyniok
P. Petersen
51
200
0
21 Feb 2019
Reconciling modern machine learning practice and the bias-variance trade-off
M. Belkin
Daniel J. Hsu
Siyuan Ma
Soumik Mandal
137
1,628
0
28 Dec 2018
Countering Adversarial Images using Input Transformations
Chuan Guo
Mayank Rana
Moustapha Cissé
Laurens van der Maaten
AAML
71
1,399
0
31 Oct 2017
Adversarial Examples Are Not Easily Detected: Bypassing Ten Detection Methods
Nicholas Carlini
D. Wagner
AAML
86
1,851
0
20 May 2017
Intriguing properties of neural networks
Christian Szegedy
Wojciech Zaremba
Ilya Sutskever
Joan Bruna
D. Erhan
Ian Goodfellow
Rob Fergus
AAML
79
14,831
1
21 Dec 2013
1