Zero-Shot Domain Adaptation of Anomalous Samples for Semi-Supervised Anomaly Detection.
Tomoya NishidaTakashi EndoYohei KawaguchiPublished in: ICASSP (2023)
Keyphrases
- domain adaptation
- anomaly detection
- semi supervised
- unsupervised learning
- labeled data
- semi supervised learning
- anomalous behavior
- intrusion detection
- unlabeled data
- unsupervised anomaly detection
- co training
- supervised learning
- detecting anomalous
- multi view
- network traffic
- detecting anomalies
- training samples
- detect anomalies
- active learning
- network intrusion detection
- training examples
- cross domain
- intrusion detection system
- data sets
- pairwise
- neural network
- training set
- one class support vector machines
- action recognition
- multiple sources
- training data
- information retrieval