The QC-GAN uses a quantum generator to produce adversarial network flows that evade classical IDS models such as random forest and CNN on the UNSW-NB15 dataset.
Quantum gated recurrent gan with gaussian uncertainty for network anomaly detection
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Hybrid Quantum-Classical GANs for the Generation of Adversarial Network Flows
The QC-GAN uses a quantum generator to produce adversarial network flows that evade classical IDS models such as random forest and CNN on the UNSW-NB15 dataset.