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On the Robustness of Bayesian Neural Networks to Adversarial Attacks

On the Robustness of Bayesian Neural Networks to Adversarial Attacks

13 July 2022
Luca Bortolussi
Ginevra Carbone
Luca Laurenti
A. Patané
G. Sanguinetti
Matthew Wicker
    AAML
ArXivPDFHTML

Papers citing "On the Robustness of Bayesian Neural Networks to Adversarial Attacks"

4 / 4 papers shown
Title
Attacking Bayes: On the Adversarial Robustness of Bayesian Neural
  Networks
Attacking Bayes: On the Adversarial Robustness of Bayesian Neural Networks
Yunzhen Feng
Tim G. J. Rudner
Nikolaos Tsilivis
Julia Kempe
AAML
BDL
43
1
0
27 Apr 2024
Defending Black-box Skeleton-based Human Activity Classifiers
Defending Black-box Skeleton-based Human Activity Classifiers
He-Nan Wang
Yunfeng Diao
Zichang Tan
G. Guo
AAML
45
10
0
09 Mar 2022
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
270
5,660
0
05 Dec 2016
MCMC using Hamiltonian dynamics
MCMC using Hamiltonian dynamics
Radford M. Neal
185
3,262
0
09 Jun 2012
1