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Extensible Machine Learning for Encrypted Network Traffic Application
  Labeling via Uncertainty Quantification

Extensible Machine Learning for Encrypted Network Traffic Application Labeling via Uncertainty Quantification

11 May 2022
Steven Jorgensen
J. Holodnak
Jensen Dempsey
Karla de Souza
Ananditha Raghunath
Vernon Rivet
N. Demoes
Andrés Alejos
Allan B. Wollaber
    AAML
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Papers citing "Extensible Machine Learning for Encrypted Network Traffic Application Labeling via Uncertainty Quantification"

3 / 3 papers shown
Title
netFound: Foundation Model for Network Security
netFound: Foundation Model for Network Security
Satyandra Guthula
Navya Battula
Roman Beltiukov
Wenbo Guo
Arpit Gupta
Inder Monga
21
13
0
25 Oct 2023
Generalized Out-of-Distribution Detection: A Survey
Generalized Out-of-Distribution Detection: A Survey
Jingkang Yang
Kaiyang Zhou
Yixuan Li
Ziwei Liu
171
870
0
21 Oct 2021
Simple and Scalable Predictive Uncertainty Estimation using Deep
  Ensembles
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
268
5,652
0
05 Dec 2016
1