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Exploiting Excessive Invariance caused by Norm-Bounded Adversarial
  Robustness

Exploiting Excessive Invariance caused by Norm-Bounded Adversarial Robustness

25 March 2019
J. Jacobsen
Jens Behrmann
Nicholas Carlini
Florian Tramèr
Nicolas Papernot
    AAML
ArXivPDFHTML

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
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
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
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 $L_0$-RobustSparse Fourier Transform
Thwarting Adversarial Examples: An L0L_0L0​-RobustSparse Fourier Transform
Mitali Bafna
Jack Murtagh
Nikhil Vyas
AAML
40
48
0
12 Dec 2018
Invertible Residual Networks
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
Explaining and Harnessing Adversarial Examples
Ian Goodfellow
Jonathon Shlens
Christian Szegedy
AAML
GAN
277
19,049
0
20 Dec 2014
Conditional Generative Adversarial Nets
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
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
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