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Robustness of Rotation-Equivariant Networks to Adversarial Perturbations

Robustness of Rotation-Equivariant Networks to Adversarial Perturbations

19 February 2018
Beranger Dumont
Simona Maggio
Pablo Montalvo
    AAML
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Papers citing "Robustness of Rotation-Equivariant Networks to Adversarial Perturbations"

7 / 7 papers shown
Title
SELTO: Sample-Efficient Learned Topology Optimization
SELTO: Sample-Efficient Learned Topology Optimization
Sören Dittmer
David Erzmann
Henrik Harms
Peter Maass
35
2
0
12 Sep 2022
Adversarial Examples on Object Recognition: A Comprehensive Survey
Adversarial Examples on Object Recognition: A Comprehensive Survey
A. Serban
E. Poll
Joost Visser
AAML
27
73
0
07 Aug 2020
Adversarial Training against Location-Optimized Adversarial Patches
Adversarial Training against Location-Optimized Adversarial Patches
Sukrut Rao
David Stutz
Bernt Schiele
AAML
19
91
0
05 May 2020
Perturbations are not Enough: Generating Adversarial Examples with
  Spatial Distortions
Perturbations are not Enough: Generating Adversarial Examples with Spatial Distortions
He Zhao
Trung Le
Paul Montague
O. Vel
Tamas Abraham
Dinh Q. Phung
AAML
28
8
0
03 Oct 2019
Invariance-inducing regularization using worst-case transformations
  suffices to boost accuracy and spatial robustness
Invariance-inducing regularization using worst-case transformations suffices to boost accuracy and spatial robustness
Fanny Yang
Zuowen Wang
C. Heinze-Deml
28
42
0
26 Jun 2019
Rotational 3D Texture Classification Using Group Equivariant CNNs
Rotational 3D Texture Classification Using Group Equivariant CNNs
Vincent Andrearczyk
Adrien Depeursinge
15
12
0
16 Oct 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
50
226
0
18 Jul 2018
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