Deep Convolutional Malware Classifiers Can Learn from Raw Executables and Labels Only.
Marek KrcálOndrej SvecMartin BálekOtakar JasekPublished in: ICLR (Workshop) (2018)
Keyphrases
- malware detection
- training data
- deep learning
- class labels
- training set
- multi label classification
- malicious executables
- training examples
- multi label
- labeled images
- support vector
- test set
- source code
- naive bayes
- feature selection
- unseen data
- deep belief networks
- raw data
- machine learning algorithms
- high level
- svm classifier
- neural network
- text categorization
- training samples
- pairwise
- bayesian networks
- multilabel classification
- learning algorithm