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2002.04359
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Robustness of Bayesian Neural Networks to Gradient-Based Attacks
11 February 2020
Ginevra Carbone
Matthew Wicker
Luca Laurenti
A. Patané
Luca Bortolussi
G. Sanguinetti
AAML
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Papers citing
"Robustness of Bayesian Neural Networks to Gradient-Based Attacks"
5 / 55 papers shown
Title
Evaluating Robustness of Predictive Uncertainty Estimation: Are Dirichlet-based Models Reliable?
Anna-Kathrin Kopetzki
Bertrand Charpentier
Daniel Zügner
Sandhya Giri
Stephan Günnemann
23
45
0
28 Oct 2020
Assessing Robustness of Text Classification through Maximal Safe Radius Computation
Emanuele La Malfa
Min Wu
Luca Laurenti
Benjie Wang
Anthony Hartshorn
Marta Z. Kwiatkowska
AAML
12
18
0
01 Oct 2020
Probabilistic Safety for Bayesian Neural Networks
Matthew Wicker
Luca Laurenti
A. Patané
Marta Z. Kwiatkowska
AAML
6
52
0
21 Apr 2020
Adversarial Robustness Guarantees for Random Deep Neural Networks
Giacomo De Palma
B. Kiani
S. Lloyd
AAML
OOD
6
8
0
13 Apr 2020
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
270
5,660
0
05 Dec 2016
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