UNSW-NB15 unsw-nb15 Leaderboard
Auto-discovered from papers reporting UNSW-NB15 (Accuracy). · Metric: Accuracy (higher is better)
| # | Model | Accuracy | Paper |
|---|---|---|---|
| 1 | Assessing Generalisation Capability Of Machine Learning Models For Intrusion Detection | 95.08 | — |
| 2 | Network Security Posture Assessment Algorithm Based on Multilayer Perceptron of Graph Convolutional Neural Networks | 94.30 | — |
| 3 | Enhancing Autonomous Online Intrusion Detection for IoT with Balanced Learning, Reliable Pseudo-Labels, and Lightweight Architectures | 89.39 | — |
| 4 | Critical Minority-Class Attack Detection for Industrial Internet Based on Improved Conditional Generative Adversarial Networks | 88.00 | — |
| 5 | Quantum transfer learning for cross-domain cybersecurity threat detection and categorization | 83.00 | — |