Malware Classification On Microsoft Malware
評価指標
Accuracy (10-fold)
評価結果
このベンチマークにおける各モデルのパフォーマンス結果
比較表
| モデル名 | Accuracy (10-fold) |
|---|---|
| orthrus-a-bimodal-learning-architecture-for | 0.9770 |
| hydra-a-multimodal-deep-learning-framework | 0.9868 |
| classification-of-malware-by-using-structural | 0.9708 |
| a-hierarchical-convolutional-neural-network | 0.9820 |
| using-convolutional-neural-networks-for-1 | - |
| deep-learning-at-the-shallow-end-malware | - |
| a-hierarchical-convolutional-neural-network | 0.9742 |
| hydra-a-multimodal-deep-learning-framework | 0.9814 |
| convolutional-neural-network-for-1 | 0.9917 |
| using-convolutional-neural-networks-for-1 | - |
| a-hierarchical-convolutional-neural-network | 0,9641 |
| orthrus-a-bimodal-learning-architecture-for | 0.9639 |
| sequential-embedding-based-attentive-sea | 0.9912 |
| hydra-a-multimodal-deep-learning-framework | 0.2707 |
| orthrus-a-bimodal-learning-architecture-for | 0.9924 |
| classification-of-malware-by-using-structural | 0.9828 |
| using-convolutional-neural-networks-for-1 | 0.9750 |
| hydra-a-multimodal-deep-learning-framework | 0.1755 |
| hydra-a-multimodal-deep-learning-framework | 0.9660 |
| an-end-to-end-deep-learning-architecture-for-1 | 0.9861 |
| a-hierarchical-convolutional-neural-network | 0.9756 |
| hydra-a-multimodal-deep-learning-framework | 0.9974 |
| hydra-a-multimodal-deep-learning-framework | 0.9976 |
| classification-of-malware-by-using-structural | - |
| classification-of-malware-by-using-structural | 0.9894 |
| a-hierarchical-convolutional-neural-network | 0.9913 |
| malware-classification-using-static | - |
| designing-deep-convolutional-neural-networks-1 | - |
| hydra-a-multimodal-deep-learning-framework | 0.9975 |