An Improved Nested Training Approach to Mitigate Clean-label Attacks against Malware Classifiers.
Achyut ReddySridhar VenkatesanRauf IzmailovAlina OpreaPublished in: MILCOM (2023)
Keyphrases
- training set
- test set
- training samples
- classifier training
- class labels
- training examples
- detect malicious
- training data
- malicious code
- support vector
- linear svm
- training process
- multi label classification
- supervised training
- trained classifiers
- decision trees
- labeled images
- supervised learning
- boosted classifiers
- roc curve
- image classification
- labeled training data
- training stage
- discriminative classifiers
- classification algorithm
- class membership
- feature selection
- training dataset
- unlabeled data
- denial of service attacks
- multi label
- malware detection
- reverse engineering
- majority voting
- training instances
- text classifiers
- multi layer perceptron
- countermeasures