Mitigation of Adversarial Examples in RF Deep Classifiers Utilizing AutoEncoder Pre-training.
Silvija Kokalj-FilipovicRob MillerNicholas ChangChi Leung LauPublished in: CoRR (2019)
Keyphrases
- training examples
- training set
- test set
- training data
- training samples
- sufficient training data
- learning algorithm
- class labels
- multi agent
- support vector
- classifier training
- active learning
- feature selection
- linear svm
- supervised learning
- naive bayes
- deep architectures
- training set size
- decision trees
- linear classifiers
- positive examples
- binary classification problems
- machine learning algorithms
- labeled training data
- discriminative classifiers
- training stage
- boosted classifiers
- training and testing data
- classification performances
- unlabeled data
- relevance feedback
- ensemble learning
- classification algorithm
- feedforward neural networks
- labeled examples
- co training