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2003.03546
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Adversarial Machine Learning: Bayesian Perspectives
Journal of the American Statistical Association (JASA), 2020
7 March 2020
D. Insua
Roi Naveiro
Víctor Gallego
Jason Poulos
AAML
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Papers citing
"Adversarial Machine Learning: Bayesian Perspectives"
7 / 7 papers shown
A unified Bayesian framework for adversarial robustness
Pablo G. Arce
Roi Naveiro
David Ríos Insua
AAML
157
0
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10 Oct 2025
A Framework for Rapidly Developing and Deploying Protection Against Large Language Model Attacks
Adam Swanda
Amy Chang
Alexander Chen
Fraser Burch
Paul Kassianik
Konstantin Berlin
186
1
0
25 Sep 2025
Computational adversarial risk analysis for general security games
Jose Manuel Camacho
Roi Naveiro
David Ríos Insua
AAML
155
0
0
03 Jun 2025
Dynamic Bayesian Networks, Elicitation and Data Embedding for Secure Environments
Entropy (Entropy), 2024
Kieran Drury
Jim Q. Smith
272
3
0
11 Sep 2024
Manipulating hidden-Markov-model inferences by corrupting batch data
William N. Caballero
Jose Manuel Camacho
Tahir Ekin
Roi Naveiro
AAML
195
4
0
19 Feb 2024
The last Dance : Robust backdoor attack via diffusion models and bayesian approach
Orson Mengara
DiffM
785
4
0
05 Feb 2024
Color Teams for Machine Learning Development
Josh Kalin
David Noever
Matthew Ciolino
VLM
AAML
841
0
0
20 Oct 2021
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