A Hierarchical Convolutional Neural Network for Malware Classification

Benchmark Model Rank Results
malware-classification-on-microsoft-malware-classification-challengeCNN+BiLSTM–Accuracy (10-fold): 0.9820LogLoss: 0.0744Macro F1 (10-fold): 0.9605
malware-classification-on-microsoft-malware-classification-challengeDeepConv–Accuracy (10-fold): 0.9756LogLoss: 0.1602Macro F1 (10-fold): 0.9071
malware-classification-on-microsoft-malware-classification-challengeHierarchical Attention Network–Accuracy (10-fold): 0.9742LogLoss: 0.0933Macro F1 (10-fold): 0.9468
malware-classification-on-microsoft-malware-classification-challengeHierarchical Convolutional Network–Accuracy (10-fold): 0.9913LogLoss: 0.0419Macro F1 (10-fold): 0.9830
malware-classification-on-microsoft-malware-classification-challengeMalConv–Accuracy (10-fold): 0.9641LogLoss: 0.3071Macro F1 (10-fold): 0.8902