Detecting Adversarial Attacks in the Context of Bayesian Networks
- DOI
- 10.1007/978-3-030-22479-0_1
- Published
- 2019
- Container
- Lecture Notes in Computer Science
- Publisher
- Springer International Publishing
- Open access
- unknown
Credibility signals
uncertain Score 64/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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Cite this work
BibTeX
@article{allodium:10.1007/978-3-030-22479-0_1,
title = {Detecting Adversarial Attacks in the Context of Bayesian Networks},
author = {Emad Alsuwat and Hatim Alsuwat and John Rose and Marco Valtorta and Csilla Farkas},
year = {2019},
journal = {Lecture Notes in Computer Science},
doi = {10.1007/978-3-030-22479-0_1},
url = {https://doi.org/10.1007/978-3-030-22479-0_1}
}RIS
TY - JOUR TI - Detecting Adversarial Attacks in the Context of Bayesian Networks AU - Emad Alsuwat AU - Hatim Alsuwat AU - John Rose AU - Marco Valtorta AU - Csilla Farkas PY - 2019 JO - Lecture Notes in Computer Science DO - 10.1007/978-3-030-22479-0_1 UR - https://doi.org/10.1007/978-3-030-22479-0_1 ER -
APA
Alsuwat, E., Alsuwat, H., Rose, J., Valtorta, M., & Farkas, C. (2019). Detecting Adversarial Attacks in the Context of Bayesian Networks. Lecture Notes in Computer Science. https://doi.org/10.1007/978-3-030-22479-0_1
Source records
- crossref · retrieved 2026-11-10T11:00:43.535Z