Malware Classification on Microsoft Malware Classification Challenge

Metric: LogLoss (lower is better)

LeaderboardDataset

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Results

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#	Model↕	LogLoss▲	Extra Data	Paper	Date↕	Code
1	Opcode-based Shallow CNN	0.0244	No	-	-	Code
2	Hierarchical Convolutional Network	0.0419	No	-	-	-
3	SEA	0.0431	No	Sequential Embedding-based Attentive (SEA) class...	2023-02-11	Code
4	CNN+BiLSTM	0.0744	No	-	-	-
5	Multiresolution CNN + Bagging	0.075081	No	-	-	Code
6	Hierarchical Attention Network	0.0933	No	-	-	-
7	Autoencoders+Residual Network	0.106343	No	-	-	-
8	Multiresolution CNN	0.124431	No	-	-	Code
9	Structural entropy CNN	0.134624	No	-	-	Code
10	DeepConv	0.1602	No	-	-	-
11	Gray-scale IMG CNN	0.184483	No	-	-	Code
12	MalConv	0.3071	No	-	-	-
13	Dynamic Time Wrapping + K-NN	0.367724	No	-	-	Code

#1Opcode-based Shallow CNN
0.0244
LogLoss
No paperCode
#2Hierarchical Convolutional Network
0.0419
LogLoss
No paper
#3SEASOTA
0.0431
LogLoss· 2023-02-11
Sequential Embedding-based Attentive (SEA) classifier for malware classification Code
#4CNN+BiLSTM
0.0744
LogLoss
No paper
#5Multiresolution CNN + Bagging
0.075081
LogLoss
No paperCode
#6Hierarchical Attention Network
0.0933
LogLoss
No paper
#7Autoencoders+Residual Network
0.106343
LogLoss
No paper
#8Multiresolution CNN
0.124431
LogLoss
No paperCode
#9Structural entropy CNN
0.134624
LogLoss
No paperCode
#10DeepConv
0.1602
LogLoss
No paper
#11Gray-scale IMG CNN
0.184483
LogLoss
No paperCode
#12MalConv
0.3071
LogLoss
No paper
#13Dynamic Time Wrapping + K-NN
0.367724
LogLoss
No paperCode