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1909.08864
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Adversarial Vulnerability Bounds for Gaussian Process Classification
19 September 2019
M. Smith
Kathrin Grosse
Michael Backes
Mauricio A. Alvarez
AAML
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Papers citing
"Adversarial Vulnerability Bounds for Gaussian Process Classification"
6 / 6 papers shown
Title
Robustness bounds on the successful adversarial examples in probabilistic models: Implications from Gaussian processes
Hiroaki Maeshima
Akira Otsuka
AAML
67
0
0
04 Mar 2024
Adversarial Robustness Certification for Bayesian Neural Networks
Matthew Wicker
A. Patané
Luca Laurenti
Marta Z. Kwiatkowska
AAML
73
3
0
23 Jun 2023
BNN-DP: Robustness Certification of Bayesian Neural Networks via Dynamic Programming
Steven Adams
A. Patané
Morteza Lahijanian
Luca Laurenti
AAML
187
7
0
19 Jun 2023
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
104
69
0
26 Jul 2021
Adversarial Robustness Guarantees for Gaussian Processes
A. Patané
Arno Blaas
Luca Laurenti
L. Cardelli
Stephen J. Roberts
Marta Z. Kwiatkowska
GP
AAML
188
9
0
07 Apr 2021
Adversarial Robustness Guarantees for Classification with Gaussian Processes
Arno Blaas
A. Patané
Luca Laurenti
L. Cardelli
Marta Z. Kwiatkowska
Stephen J. Roberts
GP
AAML
77
21
0
28 May 2019
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