DGA Detection on DGA 2023 (test)
2.7517FPRMIT (2016)
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| MIT (2016)2026.05 | 2.7517 | 8.9291 | |
| HMT (2023)2026.05 | 2.769 | 8.728 | |
| NYU (2016)2026.05 | 2.9634 | 8.6131 | |
| Fine-tuned BERT2026.05 | 3.1989 | 7.7104 | |
| DRIFT (Supervised)Mode=Supervised2026.05 | 3.8314 | 6.6023 | |
| DRIFTMode=Dual-branch Transformer2026.05 | 3.9797 | 4.7055 | |
| Endgame (2016)2026.05 | 4.6901 | 6.7611 | |
| M-ResNet + B-cos (2022)2026.05 | 4.8349 | 5.1817 | |
| B-ResNet (2020)2026.05 | 5.3354 | 6.6373 | |
| HDDN (2025)2026.05 | 5.6879 | 7.3623 | |
| Dom2Vec (2023)2026.05 | 6.3417 | 8.0442 | |
| SFT-Llama3-8B (2024)2026.05 | 19.9898 | 19.2437 |