Attacking Bayes: On the Adversarial Robustness of Bayesian Neural
Networks

Attacking Bayes: On the Adversarial Robustness of Bayesian Neural Networks

27 April 2024

Tim G. J. Rudner

Nikolaos Tsilivis

Papers citing "Attacking Bayes: On the Adversarial Robustness of Bayesian Neural Networks"

11 / 11 papers shown

Title
Tractable Function-Space Variational Inference in Bayesian Neural Networks Tim G. J. Rudner Zonghao Chen Yee Whye Teh Y. Gal 57 39 0 28 Dec 2023
Function-Space Regularization in Neural Networks: A Probabilistic Perspective Tim G. J. Rudner Sanyam Kapoor Shikai Qiu A. Wilson 24 12 0 28 Dec 2023
Informative Priors Improve the Reliability of Multimodal Clinical Data Classification L. J. L. Lopez Tim G. J. Rudner Karan Singhal 30 3 0 17 Nov 2023
On Attacking Out-Domain Uncertainty Estimation in Deep Neural Networks Huimin Zeng Zhenrui Yue Yang Zhang Ziyi Kou Lanyu Shang Dong Wang OOD AAML 25 7 0 03 Oct 2022
Pre-Train Your Loss: Easy Bayesian Transfer Learning with Informative Priors Ravid Shwartz-Ziv Micah Goldblum Hossein Souri Sanyam Kapoor Chen Zhu Yann LeCun A. Wilson UQCV BDL 54 43 0 20 May 2022
The Effect of Prior Lipschitz Continuity on the Adversarial Robustness of Bayesian Neural Networks Arno Blaas Stephen J. Roberts BDL AAML 42 2 0 07 Jan 2021
RobustBench: a standardized adversarial robustness benchmark Francesco Croce Maksym Andriushchenko Vikash Sehwag Edoardo Debenedetti Nicolas Flammarion M. Chiang Prateek Mittal Matthias Hein VLM 207 668 0 19 Oct 2020
Generating Natural Language Adversarial Examples M. Alzantot Yash Sharma Ahmed Elgohary Bo-Jhang Ho Mani B. Srivastava Kai-Wei Chang AAML 230 909 0 21 Apr 2018
Adversarial examples in the physical world Alexey Kurakin Ian Goodfellow Samy Bengio SILM AAML 247 5,813 0 08 Jul 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 247 9,042 0 06 Jun 2015
MCMC using Hamiltonian dynamics Radford M. Neal 127 3,260 0 09 Jun 2012