作者: Wenyi Huang , Jack W. Stokes
DOI: 10.1007/978-3-319-40667-1_20
关键词: Task (project management) 、 Deep learning 、 Test set 、 Word error rate 、 Computer science 、 Binary classification 、 Artificial intelligence 、 Malware 、 Data mining 、 Binary number 、 Artificial neural network 、 Machine learning
摘要: In this paper, we propose a new multi-task, deep learning architecture for malware classification for the binary (ie malware versus benign) malware classification task. All models are …