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Online Black-Box Confidence Estimation of Deep Neural Networks

Online Black-Box Confidence Estimation of Deep Neural Networks

27 February 2023
Fabian Woitschek
G. Schneider
    UQCV
ArXivPDFHTML

Papers citing "Online Black-Box Confidence Estimation of Deep Neural Networks"

4 / 4 papers shown
Title
Physical Adversarial Attacks on Deep Neural Networks for Traffic Sign
  Recognition: A Feasibility Study
Physical Adversarial Attacks on Deep Neural Networks for Traffic Sign Recognition: A Feasibility Study
Fabian Woitschek
G. Schneider
AAML
35
9
0
27 Feb 2023
Simple and Scalable Predictive Uncertainty Estimation using Deep
  Ensembles
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
276
5,661
0
05 Dec 2016
Adversarial examples in the physical world
Adversarial examples in the physical world
Alexey Kurakin
Ian Goodfellow
Samy Bengio
SILM
AAML
287
5,837
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
285
9,138
0
06 Jun 2015
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