A Hybrid Training-time and Run-time Defense Against Adversarial Attacks in Modulation Classification.
Lu ZhangSangarapillai LambotharanGan ZhengGuisheng LiaoAmbra DemontisFabio RoliPublished in: CoRR (2024)
Keyphrases
- training set
- supervised learning
- training phase
- training process
- classification accuracy
- training samples
- pattern recognition
- support vector
- decision trees
- labelled data
- intrusion detection
- automatic classification
- classification scheme
- countermeasures
- feature vectors
- svm classifier
- support vector machine svm
- training dataset
- support vector machine
- preprocessing
- training patterns
- learning algorithm
- classification performances
- neural network
- avoid overfitting
- linear svm
- discriminative classifiers
- network security
- machine learning methods
- feature set
- feature space
- multi agent
- feature extraction
- feature selection
- machine learning
- data mining