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2305.00550
Cited By
SoK: Pragmatic Assessment of Machine Learning for Network Intrusion Detection
30 April 2023
Giovanni Apruzzese
Pavel Laskov
J. Schneider
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Papers citing
"SoK: Pragmatic Assessment of Machine Learning for Network Intrusion Detection"
11 / 11 papers shown
Title
Traffic Modeling for Network Security and Privacy: Challenges Ahead
Dinil Mon Divakaran
AAML
61
0
0
28 Mar 2025
Temporal Analysis of NetFlow Datasets for Network Intrusion Detection Systems
Majed Luay
S. Layeghy
Seyedehfaezeh Hosseininoorbin
Mohanad Sarhan
Nour Moustafa
Marius Portmann
55
0
0
06 Mar 2025
Evaluating The Explainability of State-of-the-Art Deep Learning-based Network Intrusion Detection Systems
Ayush Kumar
V. Thing
55
0
0
21 Feb 2025
Evaluating Large Language Models' Capability to Launch Fully Automated Spear Phishing Campaigns: Validated on Human Subjects
Fred Heiding
Simon Lermen
Andrew Kao
B. Schneier
A. Vishwanath
72
8
0
30 Nov 2024
On the use of neurosymbolic AI for defending against cyber attacks
G. Grov
Jonas Halvorsen
Magnus Wiik Eckhoff
Bjørn Jervell Hansen
Martin Eian
Vasileios Mavroeidis
AAML
NAI
35
0
0
09 Aug 2024
SoK: Evaluations in Industrial Intrusion Detection Research
Olav Lamberts
Konrad Wolsing
Eric Wagner
Jan Pennekamp
Jan Bauer
Klaus Wehrle
Martin Henze
30
6
0
06 Nov 2023
Assessing the Impact of a Supervised Classification Filter on Flow-based Hybrid Network Anomaly Detection
Dominik Macko
Patrik Goldschmidt
Peter Pistek
Daniela Chudá
8
0
0
10 Oct 2023
A Framework for Cluster and Classifier Evaluation in the Absence of Reference Labels
R. Joyce
Edward Raff
Charles K. Nicholas
43
16
0
23 Sep 2021
Can We Leverage Predictive Uncertainty to Detect Dataset Shift and Adversarial Examples in Android Malware Detection?
Deqiang Li
Tian Qiu
Shuo Chen
Qianmu Li
Shouhuai Xu
AAML
75
12
0
20 Sep 2021
Towards a Robust and Trustworthy Machine Learning System Development: An Engineering Perspective
Pulei Xiong
Scott Buffett
Shahrear Iqbal
Philippe Lamontagne
M. Mamun
Heather Molyneaux
OOD
36
15
0
08 Jan 2021
A Survey on Deep Learning in Medical Image Analysis
G. Litjens
Thijs Kooi
B. Bejnordi
A. Setio
F. Ciompi
Mohsen Ghafoorian
Jeroen van der Laak
Bram van Ginneken
C. I. Sánchez
OOD
295
10,618
0
19 Feb 2017
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