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Adversarial Training for Deep Learning-based Intrusion Detection Systems

Adversarial Training for Deep Learning-based Intrusion Detection Systems

20 April 2021
Islam Debicha
Thibault Debatty
Jean-Michel Dricot
Wim Mees
    AAML
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Papers citing "Adversarial Training for Deep Learning-based Intrusion Detection Systems"

4 / 4 papers shown
Title
Generative Adversarial Networks-Driven Cyber Threat Intelligence
  Detection Framework for Securing Internet of Things
Generative Adversarial Networks-Driven Cyber Threat Intelligence Detection Framework for Securing Internet of Things
M. Ferrag
Djallel Hamouda
Merouane Debbah
Leandros A. Maglaras
Abderrahmane Lakas
23
7
0
12 Apr 2023
TAD: Transfer Learning-based Multi-Adversarial Detection of Evasion
  Attacks against Network Intrusion Detection Systems
TAD: Transfer Learning-based Multi-Adversarial Detection of Evasion Attacks against Network Intrusion Detection Systems
Islam Debicha
Richard Bauwens
Thibault Debatty
Jean-Michel Dricot
Tayeb Kenaza
Wim Mees
AAML
24
40
0
27 Oct 2022
Statistical Detection of Adversarial examples in Blockchain-based
  Federated Forest In-vehicle Network Intrusion Detection Systems
Statistical Detection of Adversarial examples in Blockchain-based Federated Forest In-vehicle Network Intrusion Detection Systems
I. Aliyu
Sélinde Van Engelenburg
Muhammed Muazu
Jinsul Kim
C. Lim
AAML
41
14
0
11 Jul 2022
Adversarial examples in the physical world
Adversarial examples in the physical world
Alexey Kurakin
Ian Goodfellow
Samy Bengio
SILM
AAML
308
5,847
0
08 Jul 2016
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