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Defending Against Adversarial Attacks by Suppressing the Largest
  Eigenvalue of Fisher Information Matrix

Defending Against Adversarial Attacks by Suppressing the Largest Eigenvalue of Fisher Information Matrix

13 September 2019
Yaxin Peng
Chaomin Shen
Guixu Zhang
Jinsong Fan
    AAML
ArXivPDFHTML

Papers citing "Defending Against Adversarial Attacks by Suppressing the Largest Eigenvalue of Fisher Information Matrix"

4 / 4 papers shown
Title
Cartan moving frames and the data manifolds
Cartan moving frames and the data manifolds
Eliot Tron
Rita Fioresi
Nicolas Couellan
Stéphane Puechmorel
59
1
0
18 Sep 2024
Identifying Adversarially Attackable and Robust Samples
Identifying Adversarially Attackable and Robust Samples
Vyas Raina
Mark Gales
AAML
38
3
0
30 Jan 2023
Adversarial Machine Learning at Scale
Adversarial Machine Learning at Scale
Alexey Kurakin
Ian Goodfellow
Samy Bengio
AAML
312
3,115
0
04 Nov 2016
Adversarial examples in the physical world
Adversarial examples in the physical world
Alexey Kurakin
Ian Goodfellow
Samy Bengio
SILM
AAML
359
5,849
0
08 Jul 2016
1