A Novel Semi-Supervised Adversarially Learned Meta-Classifier for Detecting Neural Trojan Attacks.
Shahram GhahremaniAmir Jalaly BidgolyUyen Trang NguyenDavid K. Y. YauPublished in: IEEE Access (2023)
Keyphrases
- semi supervised
- co training
- learning phase
- neural classifier
- labeled and unlabeled data
- unlabeled samples
- labeled data
- semi supervised learning
- unlabelled data
- unlabeled data
- partially labeled data
- fully labeled
- neural network
- labeled samples
- svm classifier
- network architecture
- decision trees
- training data
- learning stage
- labeled training data
- network intrusion detection systems
- training set
- detecting malicious
- learning algorithm
- fully supervised
- feature space
- support vector
- detect malicious
- watermarking scheme
- class labels
- multi view
- active learning
- pairwise
- semi supervised classification
- semi supervised clustering
- pairwise constraints
- unsupervised learning
- feature selection
- linear classifiers
- metric learning
- classification algorithm
- labelled data
- malicious activities
- face recognition
- machine learning