UNSW-NB15
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Knowledge Graph Completion | UNSW-NB15 (Inductive) | MR (Mean Rank)3.645 | 12 | |
| Adversarial Detection | UNSW-NB15 | AUC-ROC99.96 | 12 | |
| Intrusion Detection | UNSW-NB15 single seed (test) | AUC-PR0.899 | 10 | |
| Intrusion Detection | UNSW-NB15 zero-day withheld classes cross-domain (evaluation) | Accuracy71.64 | 10 | |
| IDS Evasion | UNSW-NB15 (test) | Detection Rate (DR)82.4 | 9 | |
| Intrusion Detection | NF-UNSW-NB15 | Accuracy91.11 | 8 | |
| Anomaly Detection | UNSW-NB15 (test) | F1-Score93.9 | 8 | |
| Network Intrusion Detection | UNSW-NB15 (test) | AUROC0.9717 | 7 | |
| Malicious Traffic Detection | UNSW-NB15 (with drift) | Accuracy0.9964 | 5 | |
| Network Anomaly Detection | UNSW-NB15 0% Contamination | Accuracy97.69 | 4 | |
| Binary Classification | UNSW-NB15 (test) | F1-score96.89 | 4 | |
| Classification | UNSW-NB15 PGD Adversarial (test) | Precision32.45 | 3 | |
| Classification | UNSW-NB15 adversarial FGSM (test) | Precision31.02 | 3 | |
| Classification | UNSW-NB15 Clean (test) | Precision95.03 | 3 | |
| Intrusion Detection Classification | UNSW-NB15 | Accuracy (Clean)95.01 | 3 | |
| Network Intrusion Detection | UNSW-NB15 (LOAO) | AUROC93.46 | 3 | |
| Network Intrusion Detection | UNSW-NB15 2015 | F1-macro21.1 | 2 |
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