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Robustness Guarantees for Bayesian Inference with Gaussian Processes

Robustness Guarantees for Bayesian Inference with Gaussian Processes

17 September 2018
L. Cardelli
Marta Kwiatkowska
Luca Laurenti
A. Patané
    AAML
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Papers citing "Robustness Guarantees for Bayesian Inference with Gaussian Processes"

11 / 11 papers shown
Title
Probabilistic Verification of Neural Networks using Branch and Bound
Probabilistic Verification of Neural Networks using Branch and Bound
David Boetius
Stefan Leue
Tobias Sutter
45
1
0
27 May 2024
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
A Survey of Neural Network Robustness Assessment in Image Recognition
A Survey of Neural Network Robustness Assessment in Image Recognition
Jie Wang
Jun Ai
Minyan Lu
Haoran Su
Dan Yu
Yutao Zhang
Junda Zhu
Jingyu Liu
AAML
32
3
0
12 Apr 2024
Robustness of Control Design via Bayesian Learning
Robustness of Control Design via Bayesian Learning
N. Ashenafi
Wankun Sirichotiyakul
A. Satici
17
1
0
13 May 2022
How to Certify Machine Learning Based Safety-critical Systems? A
  Systematic Literature Review
How to Certify Machine Learning Based Safety-critical Systems? A Systematic Literature Review
Florian Tambon
Gabriel Laberge
Le An
Amin Nikanjam
Paulina Stevia Nouwou Mindom
Y. Pequignot
Foutse Khomh
G. Antoniol
E. Merlo
François Laviolette
37
66
0
26 Jul 2021
Probabilistic Safety for Bayesian Neural Networks
Probabilistic Safety for Bayesian Neural Networks
Matthew Wicker
Luca Laurenti
A. Patané
Marta Z. Kwiatkowska
AAML
14
52
0
21 Apr 2020
Robustness of Bayesian Neural Networks to Gradient-Based Attacks
Robustness of Bayesian Neural Networks to Gradient-Based Attacks
Ginevra Carbone
Matthew Wicker
Luca Laurenti
A. Patané
Luca Bortolussi
G. Sanguinetti
AAML
38
77
0
11 Feb 2020
Uncertainty Quantification with Statistical Guarantees in End-to-End
  Autonomous Driving Control
Uncertainty Quantification with Statistical Guarantees in End-to-End Autonomous Driving Control
Rhiannon Michelmore
Matthew Wicker
Luca Laurenti
L. Cardelli
Y. Gal
Marta Z. Kwiatkowska
BDL
18
105
0
21 Sep 2019
Statistical Guarantees for the Robustness of Bayesian Neural Networks
Statistical Guarantees for the Robustness of Bayesian Neural Networks
L. Cardelli
Marta Kwiatkowska
Luca Laurenti
Nicola Paoletti
A. Patané
Matthew Wicker
AAML
31
54
0
05 Mar 2019
Safety Verification of Deep Neural Networks
Safety Verification of Deep Neural Networks
Xiaowei Huang
Marta Kwiatkowska
Sen Wang
Min Wu
AAML
183
933
0
21 Oct 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
287
9,156
0
06 Jun 2015
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