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Guiding the retraining of convolutional neural networks against
  adversarial inputs

Guiding the retraining of convolutional neural networks against adversarial inputs

8 July 2022
Francisco Durán
Silverio Martínez-Fernández
Michael Felderer
Xavier Franch
    AAML
ArXivPDFHTML

Papers citing "Guiding the retraining of convolutional neural networks against adversarial inputs"

5 / 5 papers shown
Title
Which Design Decisions in AI-enabled Mobile Applications Contribute to
  Greener AI?
Which Design Decisions in AI-enabled Mobile Applications Contribute to Greener AI?
Roger Creus Castanyer
Silverio Martínez-Fernández
Xavier Franch
25
11
0
28 Sep 2021
Wise-SrNet: A Novel Architecture for Enhancing Image Classification by
  Learning Spatial Resolution of Feature Maps
Wise-SrNet: A Novel Architecture for Enhancing Image Classification by Learning Spatial Resolution of Feature Maps
Mohammad Rahimzadeh
AmirAli Askari
Soroush Parvin
Elnaz Safi
Mohammad Reza Mohammadi
34
12
0
26 Apr 2021
RobustBench: a standardized adversarial robustness benchmark
RobustBench: a standardized adversarial robustness benchmark
Francesco Croce
Maksym Andriushchenko
Vikash Sehwag
Edoardo Debenedetti
Nicolas Flammarion
M. Chiang
Prateek Mittal
Matthias Hein
VLM
217
668
0
19 Oct 2020
Adversarial examples in the physical world
Adversarial examples in the physical world
Alexey Kurakin
Ian Goodfellow
Samy Bengio
SILM
AAML
250
5,813
0
08 Jul 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
247
9,042
0
06 Jun 2015
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