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News/Hybrid Quantum-Classical GANs for the Generation of Adversarial Network Flows
arxiv
PublishedMay 8, 2026 at 4:00 AM
—neutral

Hybrid Quantum-Classical GANs for the Generation of Adversarial Network Flows

Source
arxiv.orgfull article ↗
Read on arxiv→
Publisher summary· verbatim

arXiv:2605.06629v1 Announce Type: new Abstract: Classical generative adversarial networks (GANs) have been applied to generate adversarial network traffic capable of attacking intrusion detection systems, but they suffer from shortcomings such as the need for large amounts of high-dimensional datase

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Discussion
Mentioned models
03
  • 01
    QC-GAN
  • 02
    Random Forest Classifier
  • 03
    Convolutional Neural Network-based Classifier
Source
↗
arxiv
Read original ↗All from arxiv →
Tags
04
#quantum machine learning#generative adversarial networks#intrusion detection systems#cybersecurity

No replies yet. Be first.

Mentioned models
03
  • 01
    QC-GAN
  • 02
    Random Forest Classifier
  • 03
    Convolutional Neural Network-based Classifier
Source
↗
arxiv
Read original ↗All from arxiv →
Tags
04
#quantum machine learning#generative adversarial networks#intrusion detection systems#cybersecurity

Related coverage

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arxivVeriEvolve: Evaluator-First Evolution for Tool-Using Agents1darxivTNODEV: Toolbox for Neural ODE Verification1d
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