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1903.10484
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Exploiting Excessive Invariance caused by Norm-Bounded Adversarial Robustness
25 March 2019
J. Jacobsen
Jens Behrmann
Nicholas Carlini
Florian Tramèr
Nicolas Papernot
AAML
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Papers citing
"Exploiting Excessive Invariance caused by Norm-Bounded Adversarial Robustness"
26 / 26 papers shown
Title
Simple and Principled Uncertainty Estimation with Deterministic Deep Learning via Distance Awareness
Jeremiah Zhe Liu
Zi Lin
Shreyas Padhy
Dustin Tran
Tania Bedrax-Weiss
Balaji Lakshminarayanan
UQCV
BDL
168
449
0
17 Jun 2020
On Evaluating Adversarial Robustness
Nicholas Carlini
Anish Athalye
Nicolas Papernot
Wieland Brendel
Jonas Rauber
Dimitris Tsipras
Ian Goodfellow
Aleksander Madry
Alexey Kurakin
ELM
AAML
83
901
0
18 Feb 2019
Certified Adversarial Robustness via Randomized Smoothing
Jeremy M. Cohen
Elan Rosenfeld
J. Zico Kolter
AAML
147
2,039
0
08 Feb 2019
Thwarting Adversarial Examples: An
L
0
L_0
L
0
-RobustSparse Fourier Transform
Mitali Bafna
Jack Murtagh
Nikhil Vyas
AAML
40
48
0
12 Dec 2018
Invertible Residual Networks
Jens Behrmann
Will Grathwohl
Ricky T. Q. Chen
David Duvenaud
J. Jacobsen
UQCV
TPM
122
623
0
02 Nov 2018
Excessive Invariance Causes Adversarial Vulnerability
J. Jacobsen
Jens Behrmann
R. Zemel
Matthias Bethge
AAML
66
166
0
01 Nov 2018
Motivating the Rules of the Game for Adversarial Example Research
Justin Gilmer
Ryan P. Adams
Ian Goodfellow
David G. Andersen
George E. Dahl
AAML
78
228
0
18 Jul 2018
Analysis of Invariance and Robustness via Invertibility of ReLU-Networks
Jens Behrmann
Sören Dittmer
Pascal Fernsel
Peter Maass
56
12
0
25 Jun 2018
Scaling provable adversarial defenses
Eric Wong
Frank R. Schmidt
J. H. Metzen
J. Zico Kolter
AAML
76
448
0
31 May 2018
Robustness May Be at Odds with Accuracy
Dimitris Tsipras
Shibani Santurkar
Logan Engstrom
Alexander Turner
Aleksander Madry
AAML
102
1,778
0
30 May 2018
Towards the first adversarially robust neural network model on MNIST
Lukas Schott
Jonas Rauber
Matthias Bethge
Wieland Brendel
AAML
OOD
63
370
0
23 May 2018
Defense-GAN: Protecting Classifiers Against Adversarial Attacks Using Generative Models
Pouya Samangouei
Maya Kabkab
Rama Chellappa
AAML
GAN
84
1,177
0
17 May 2018
i-RevNet: Deep Invertible Networks
J. Jacobsen
A. Smeulders
Edouard Oyallon
83
333
0
20 Feb 2018
Certified Robustness to Adversarial Examples with Differential Privacy
Mathias Lécuyer
Vaggelis Atlidakis
Roxana Geambasu
Daniel J. Hsu
Suman Jana
SILM
AAML
94
934
0
09 Feb 2018
Certified Defenses against Adversarial Examples
Aditi Raghunathan
Jacob Steinhardt
Percy Liang
AAML
108
968
0
29 Jan 2018
The Robust Manifold Defense: Adversarial Training using Generative Models
A. Jalal
Andrew Ilyas
C. Daskalakis
A. Dimakis
AAML
59
174
0
26 Dec 2017
Provable defenses against adversarial examples via the convex outer adversarial polytope
Eric Wong
J. Zico Kolter
AAML
125
1,501
0
02 Nov 2017
Evasion Attacks against Machine Learning at Test Time
Battista Biggio
Igino Corona
Davide Maiorca
B. Nelson
Nedim Srndic
Pavel Laskov
Giorgio Giacinto
Fabio Roli
AAML
157
2,151
0
21 Aug 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
Ensemble Adversarial Training: Attacks and Defenses
Florian Tramèr
Alexey Kurakin
Nicolas Papernot
Ian Goodfellow
Dan Boneh
Patrick McDaniel
AAML
177
2,725
0
19 May 2017
Parseval Networks: Improving Robustness to Adversarial Examples
Moustapha Cissé
Piotr Bojanowski
Edouard Grave
Yann N. Dauphin
Nicolas Usunier
AAML
138
807
0
28 Apr 2017
Adversarial Manipulation of Deep Representations
S. Sabour
Yanshuai Cao
Fartash Faghri
David J. Fleet
GAN
AAML
73
286
0
16 Nov 2015
Explaining and Harnessing Adversarial Examples
Ian Goodfellow
Jonathon Shlens
Christian Szegedy
AAML
GAN
277
19,049
0
20 Dec 2014
Conditional Generative Adversarial Nets
M. Berk Mirza
Simon Osindero
GAN
SyDa
AI4CE
258
10,409
0
06 Nov 2014
NICE: Non-linear Independent Components Estimation
Laurent Dinh
David M. Krueger
Yoshua Bengio
DRL
BDL
121
2,258
0
30 Oct 2014
Intriguing properties of neural networks
Christian Szegedy
Wojciech Zaremba
Ilya Sutskever
Joan Bruna
D. Erhan
Ian Goodfellow
Rob Fergus
AAML
270
14,918
1
21 Dec 2013
1