Adversarial Training for Raw-Binary Malware Classifiers.
Keane LucasSamruddhi PaiWeiran LinLujo BauerMichael K. ReiterMahmood SharifPublished in: USENIX Security Symposium (2023)
Keyphrases
- training set
- training examples
- training samples
- test set
- binary classifiers
- training process
- classification algorithm
- support vector
- training data
- discriminative classifiers
- training phase
- svm classifier
- classification systems
- reverse engineering
- supervised learning
- linear svm
- supervised training
- decision trees
- boosted classifiers
- feature selection
- training dataset
- raw data
- machine learning algorithms
- feature set
- support vector machine
- multi agent
- data sets
- anomaly detection
- labeled training data
- error correcting output codes
- training set size
- classification performances
- trained classifiers
- training and testing data
- sufficient training data