[HTML][HTML] Chained anomaly detection models for federated learning: An intrusion detection case study
The adoption of machine learning and deep learning is on the rise in the cybersecurity
domain where these AI methods help strengthen traditional system monitoring and threat …
domain where these AI methods help strengthen traditional system monitoring and threat …
Chained Anomaly Detection Models for Federated Learning: An Intrusion Detection Case Study.
D Preuveneers, V Rimmer… - Applied Sciences …, 2018 - search.ebscohost.com
The adoption of machine learning and deep learning is on the rise in the cybersecurity
domain where these AI methods help strengthen traditional system monitoring and threat …
domain where these AI methods help strengthen traditional system monitoring and threat …
[PDF][PDF] Chained Anomaly Detection Models for Federated Learning: An Intrusion Detection Case Study
D Preuveneers, V Rimmer, I Tsingenopoulos… - pdfs.semanticscholar.org
The adoption of machine learning and deep learning is on the rise in the cybersecurity
domain where these AI methods help strengthen traditional system monitoring and threat …
domain where these AI methods help strengthen traditional system monitoring and threat …
[PDF][PDF] Chained Anomaly Detection Models for Federated Learning: An Intrusion Detection Case Study
D Preuveneers, V Rimmer, I Tsingenopoulos… - core.ac.uk
The adoption of machine learning and deep learning is on the rise in the cybersecurity
domain where these AI methods help strengthen traditional system monitoring and threat …
domain where these AI methods help strengthen traditional system monitoring and threat …
[PDF][PDF] Chained Anomaly Detection Models for Federated Learning: An Intrusion Detection Case Study
D Preuveneers, V Rimmer… - APPLIED SCIENCES …, 2018 - eprints.sztaki.hu
The adoption of machine learning and deep learning is on the rise in the cybersecurity
domain where these AI methods help strengthen traditional system monitoring and threat …
domain where these AI methods help strengthen traditional system monitoring and threat …
[引用][C] Chained anomaly detection models for federated learning: An intrusion detection case study
D Preuveneers, V Rimmer, J Spooren, W Joosen… - 2019 - imec-publications.be
Chained anomaly detection models for federated learning: An intrusion detection case study
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Toggle navigation My submissions Login Toggle navigation View item imec Publications …
Chained Anomaly Detection Models for Federated Learning: An Intrusion Detection Case Study
D Preuveneers, V Rimmer, I Tsingenopoulos… - Applied …, 2018 - search.proquest.com
their federated learning experiments on a single workstation node using the MNISTdataset
demonstrated a rather significant computational complexity, which makes the proposed …
demonstrated a rather significant computational complexity, which makes the proposed …
Chained Anomaly Detection Models for Federated Learning: An Intrusion Detection Case Study
D Preuveneers, V Rimmer, I Tsingenopoulos… - 2018 - agris.fao.org
The adoption of machine learning and deep learning is on the rise in the cybersecurity
domain where these AI methods help strengthen traditional system monitoring and threat …
domain where these AI methods help strengthen traditional system monitoring and threat …
[PDF][PDF] Chained Anomaly Detection Models for Federated Learning: An Intrusion Detection Case Study
D Preuveneers, V Rimmer, I Tsingenopoulos… - scholar.archive.org
The adoption of machine learning and deep learning is on the rise in the cybersecurity
domain where these AI methods help strengthen traditional system monitoring and threat …
domain where these AI methods help strengthen traditional system monitoring and threat …
Chained Anomaly Detection Models for Federated Learning: An Intrusion Detection Case Study
D Preuveneers, V Rimmer, I Tsingenopoulos… - Applied Sciences, 2018 - cir.nii.ac.jp
抄録< jats: p> The adoption of machine learning and deep learning is on the rise in the
cybersecurity domain where these AI methods help strengthen traditional system monitoring …
cybersecurity domain where these AI methods help strengthen traditional system monitoring …