An End-to-End Deep Learning Architecture for Classification of Malware’s Binary Content
Open paper
Benchmark
Model
Rank
Results
malware-classification-on-microsoft-malware-classification-challenge
Autoencoders+Residual Network
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Accuracy (10-fold): 0.9861
LogLoss: 0.106343
Macro F1 (10-fold): 0.9719
Rank counts only results with a code link.