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On the robustness of randomized classifiers to adversarial examples

On the robustness of randomized classifiers to adversarial examples

22 February 2021
Rafael Pinot
Laurent Meunier
Florian Yger
Cédric Gouy-Pailler
Y. Chevaleyre
Jamal Atif
    AAML
ArXivPDFHTML

Papers citing "On the robustness of randomized classifiers to adversarial examples"

4 / 4 papers shown
Title
Implementing Responsible AI: Tensions and Trade-Offs Between Ethics
  Aspects
Implementing Responsible AI: Tensions and Trade-Offs Between Ethics Aspects
Conrad Sanderson
David M. Douglas
Qinghua Lu
43
12
0
17 Apr 2023
On the Limitations of Stochastic Pre-processing Defenses
On the Limitations of Stochastic Pre-processing Defenses
Yue Gao
Ilia Shumailov
Kassem Fawaz
Nicolas Papernot
AAML
SILM
47
31
0
19 Jun 2022
Certifying Model Accuracy under Distribution Shifts
Certifying Model Accuracy under Distribution Shifts
Aounon Kumar
Alexander Levine
Tom Goldstein
S. Feizi
OOD
27
7
0
28 Jan 2022
A New Defense Against Adversarial Images: Turning a Weakness into a
  Strength
A New Defense Against Adversarial Images: Turning a Weakness into a Strength
Tao Yu
Shengyuan Hu
Chuan Guo
Wei-Lun Chao
Kilian Q. Weinberger
AAML
58
101
0
16 Oct 2019
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