Network Intrusion Detection on UNSW-NB15 (test)
0.9717AUROCSupervised (Classical)
Evaluation results
| Method | Links | ||
|---|---|---|---|
| Supervised (Classical)Protocol=Full Test Set (All Attacks), Learning Type=Supervised, Model Type=Classical2025.12 | 0.9717 | — | |
| Unsupervised (HQC)Protocol=Full Test Set (All Attacks), Learning Type=Unsupervised, Model Type=Hybrid Quantum-Classical2025.12 | 0.9009 | — | |
| Unsupervised (Classical)Protocol=Full Test Set (All Attacks), Learning Type=Unsupervised, Model Type=Classical2025.12 | 0.8976 | — | |
| RSST-NIDSTraining Dataset=CIC-IDS2017, Fine-tuning Status=None, Number of runs=52026.04 | 0.847 | 0.57 | |
| CCSSL-styleTraining Dataset=CIC-IDS2017, Fine-tuning Status=None, Number of runs=52026.04 | 0.814 | 0.48 | |
| SSL (Contrastive)Training Dataset=CIC-IDS2017, Fine-tuning Status=None, Number of runs=52026.04 | 0.801 | 0.46 | |
| Transformer (Supervised)Training Dataset=CIC-IDS2017, Fine-tuning Status=None, Number of runs=52026.04 | 0.765 | 0.37 |