On Attacking Out-Domain Uncertainty Estimation in Deep Neural Networks

On Attacking Out-Domain Uncertainty Estimation in Deep Neural Networks

3 October 2022

Yang Zhang

Dong Wang

Papers citing "On Attacking Out-Domain Uncertainty Estimation in Deep Neural Networks"

5 / 5 papers shown

Title
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
Contrastive Domain Adaptation for Early Misinformation Detection: A Case Study on COVID-19 Zhenrui Yue Huimin Zeng Ziyi Kou Lanyu Shang Dong Wang 27 31 0 20 Aug 2022
Adversarial Examples, Uncertainty, and Transfer Testing Robustness in Gaussian Process Hybrid Deep Networks John Bradshaw A. G. Matthews Zoubin Ghahramani BDL AAML 60 171 0 08 Jul 2017
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 270 5,660 0 05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 285 9,136 0 06 Jun 2015