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2202.09735
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Overparametrization improves robustness against adversarial attacks: A replication study
20 February 2022
Ali Borji
AAML
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ArXiv
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Papers citing
"Overparametrization improves robustness against adversarial attacks: A replication study"
12 / 12 papers shown
Title
The curse of overparametrization in adversarial training: Precise analysis of robust generalization for random features regression
Hamed Hassani
Adel Javanmard
AAML
26
36
0
13 Jan 2022
A Universal Law of Robustness via Isoperimetry
Sébastien Bubeck
Mark Sellke
38
218
0
26 May 2021
Uncovering the Limits of Adversarial Training against Norm-Bounded Adversarial Examples
Sven Gowal
Chongli Qin
J. Uesato
Timothy A. Mann
Pushmeet Kohli
AAML
47
331
0
07 Oct 2020
A law of robustness for two-layers neural networks
Sébastien Bubeck
Yuanzhi Li
Dheeraj M. Nagaraj
62
57
0
30 Sep 2020
Deep Double Descent: Where Bigger Models and More Data Hurt
Preetum Nakkiran
Gal Kaplun
Yamini Bansal
Tristan Yang
Boaz Barak
Ilya Sutskever
119
940
0
04 Dec 2019
Intriguing properties of adversarial training at scale
Cihang Xie
Alan Yuille
AAML
46
68
0
10 Jun 2019
Do ImageNet Classifiers Generalize to ImageNet?
Benjamin Recht
Rebecca Roelofs
Ludwig Schmidt
Vaishaal Shankar
OOD
SSeg
VLM
113
1,714
0
13 Feb 2019
Reconciling modern machine learning practice and the bias-variance trade-off
M. Belkin
Daniel J. Hsu
Siyuan Ma
Soumik Mandal
227
1,644
0
28 Dec 2018
ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness
Robert Geirhos
Patricia Rubisch
Claudio Michaelis
Matthias Bethge
Felix Wichmann
Wieland Brendel
100
2,666
0
29 Nov 2018
Sensitivity and Generalization in Neural Networks: an Empirical Study
Roman Novak
Yasaman Bahri
Daniel A. Abolafia
Jeffrey Pennington
Jascha Narain Sohl-Dickstein
AAML
93
439
0
23 Feb 2018
Towards Deep Learning Models Resistant to Adversarial Attacks
Aleksander Madry
Aleksandar Makelov
Ludwig Schmidt
Dimitris Tsipras
Adrian Vladu
SILM
OOD
299
12,060
0
19 Jun 2017
Explaining and Harnessing Adversarial Examples
Ian Goodfellow
Jonathon Shlens
Christian Szegedy
AAML
GAN
269
19,045
0
20 Dec 2014
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