Zero-shot domain adaptation of anomalous samples for semi-supervised anomaly detection.
Tomoya NishidaTakashi EndoYohei KawaguchiPublished in: CoRR (2023)
Keyphrases
- anomaly detection
- domain adaptation
- semi supervised
- unsupervised learning
- labeled data
- semi supervised learning
- unsupervised anomaly detection
- anomalous behavior
- intrusion detection
- unlabeled data
- co training
- supervised learning
- detecting anomalous
- network traffic
- active learning
- pairwise
- multi view
- detecting anomalies
- network intrusion detection
- detect anomalies
- training samples
- intrusion detection system
- training examples
- data sets
- one class support vector machines
- neural network
- multiple sources
- cross domain
- text categorization
- support vector
- test data
- target domain
- face recognition
- computer vision
- machine learning