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SOTA
Malware Classification
Malware Classification On Malimg Dataset
Malware Classification On Malimg Dataset
评估指标
Accuracy (10-fold)
Macro F1 (10-fold)
评测结果
各个模型在此基准测试上的表现结果
Columns
模型名称
Accuracy (10-fold)
Macro F1 (10-fold)
Paper Title
Repository
Gray-scale IMG CNN
0.9848
0.9580
Using Convolutional Neural Networks for Classification of Malware represented as Images
GA Designed Deep CNN
-
-
Designing Deep Convolutional Neural Networks using a Genetic Algorithm for Image-based Malware Classification
-
GRU + SVM
-
-
Towards Building an Intelligent Anti-Malware System: A Deep Learning Approach using Support Vector Machine (SVM) for Malware Classification
CNN + SVM
-
-
Towards Building an Intelligent Anti-Malware System: A Deep Learning Approach using Support Vector Machine (SVM) for Malware Classification
FFNN + SVM
-
-
Towards Building an Intelligent Anti-Malware System: A Deep Learning Approach using Support Vector Machine (SVM) for Malware Classification
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