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Linking average- and worst-case perturbation robustness via class
  selectivity and dimensionality

Linking average- and worst-case perturbation robustness via class selectivity and dimensionality

14 October 2020
Matthew L. Leavitt
Ari S. Morcos
    AAML
ArXivPDFHTML

Papers citing "Linking average- and worst-case perturbation robustness via class selectivity and dimensionality"

4 / 4 papers shown
Title
Selectivity considered harmful: evaluating the causal impact of class
  selectivity in DNNs
Selectivity considered harmful: evaluating the causal impact of class selectivity in DNNs
Matthew L. Leavitt
Ari S. Morcos
55
33
0
03 Mar 2020
Revisiting the Importance of Individual Units in CNNs via Ablation
Revisiting the Importance of Individual Units in CNNs via Ablation
Bolei Zhou
Yiyou Sun
David Bau
Antonio Torralba
FAtt
56
116
0
07 Jun 2018
Adversarial Machine Learning at Scale
Adversarial Machine Learning at Scale
Alexey Kurakin
Ian Goodfellow
Samy Bengio
AAML
261
3,109
0
04 Nov 2016
Adversarial examples in the physical world
Adversarial examples in the physical world
Alexey Kurakin
Ian Goodfellow
Samy Bengio
SILM
AAML
281
5,835
0
08 Jul 2016
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