An Adversarial Training Based Machine Learning Approach to Malware Classification under Adversarial Conditions.
Sean M. DevineNathaniel D. BastianPublished in: HICSS (2021)
Keyphrases
- machine learning
- supervised learning
- machine learning methods
- training set
- pattern recognition
- training phase
- decision trees
- machine learning algorithms
- support vector machine
- classification scheme
- supervised classification
- training process
- model selection
- feature selection
- multi agent
- supervised machine learning
- text classification
- feature vectors
- image classification
- active learning
- training algorithm
- pattern classification
- machine learning approaches
- classification systems
- feature extraction
- support vector machine svm
- training samples
- sufficient conditions
- linear svm
- classification accuracy
- unsupervised learning
- benchmark datasets
- preprocessing
- classification method
- multi layer perceptron
- learning algorithm
- training dataset
- data mining
- malware detection
- automatic classification
- learning problems
- classification rules
- test set
- semi supervised learning
- feature set
- natural language processing
- information extraction
- computer vision