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Prior Networks for Detection of Adversarial Attacks

Prior Networks for Detection of Adversarial Attacks

6 December 2018
A. Malinin
Mark J. F. Gales
    AAML
ArXivPDFHTML

Papers citing "Prior Networks for Detection of Adversarial Attacks"

5 / 5 papers shown
Title
A Simple Approach to Improve Single-Model Deep Uncertainty via
  Distance-Awareness
A Simple Approach to Improve Single-Model Deep Uncertainty via Distance-Awareness
J. Liu
Shreyas Padhy
Jie Jessie Ren
Zi Lin
Yeming Wen
Ghassen Jerfel
Zachary Nado
Jasper Snoek
Dustin Tran
Balaji Lakshminarayanan
UQCV
BDL
24
48
0
01 May 2022
Simple and Principled Uncertainty Estimation with Deterministic Deep
  Learning via Distance Awareness
Simple and Principled Uncertainty Estimation with Deterministic Deep Learning via Distance Awareness
Jeremiah Zhe Liu
Zi Lin
Shreyas Padhy
Dustin Tran
Tania Bedrax-Weiss
Balaji Lakshminarayanan
UQCV
BDL
19
437
0
17 Jun 2020
Image Super-Resolution as a Defense Against Adversarial Attacks
Image Super-Resolution as a Defense Against Adversarial Attacks
Aamir Mustafa
Salman H. Khan
Munawar Hayat
Jianbing Shen
Ling Shao
AAML
SupR
19
167
0
07 Jan 2019
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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