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How to compare adversarial robustness of classifiers from a global
  perspective

How to compare adversarial robustness of classifiers from a global perspective

22 April 2020
Niklas Risse
Christina Göpfert
Jan Philip Göpfert
    AAML
ArXivPDFHTML

Papers citing "How to compare adversarial robustness of classifiers from a global perspective"

4 / 4 papers shown
Title
On Adaptive Attacks to Adversarial Example Defenses
On Adaptive Attacks to Adversarial Example Defenses
Florian Tramèr
Nicholas Carlini
Wieland Brendel
Aleksander Madry
AAML
162
827
0
19 Feb 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
56
894
0
18 Feb 2019
EAD: Elastic-Net Attacks to Deep Neural Networks via Adversarial
  Examples
EAD: Elastic-Net Attacks to Deep Neural Networks via Adversarial Examples
Pin-Yu Chen
Yash Sharma
Huan Zhang
Jinfeng Yi
Cho-Jui Hsieh
AAML
41
639
0
13 Sep 2017
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
106
14,831
1
21 Dec 2013
1