Mitigation of Adversarial Examples in RF Deep Classifiers Utilizing AutoEncoder Pre-training.
Silvija Kokalj-FilipovicRob MillerNicholas ChangChi Laung LauPublished in: ICMCIS (2019)
Keyphrases
- training examples
- training set
- training samples
- test set
- sufficient training data
- training data
- support vector
- learning algorithm
- labeled training data
- active learning
- supervised learning
- classifier training
- labeled data
- labeled examples
- feature selection
- positive examples
- training process
- relevance feedback
- data sets
- classification performances
- multi layer perceptron
- linear classifiers
- svm classifier
- class labels
- machine learning algorithms
- unlabeled data
- unsupervised learning
- co training
- training dataset
- training algorithm
- binary classification problems
- deep learning
- linear svm
- multi agent
- training and testing data
- boosted classifiers
- multi class