Fine-grained anomaly detection via multi-task self-supervision.
Loïc JezequelNgoc-Son VuJean BeaudetAymeric HistacePublished in: AVSS (2021)
Keyphrases
- anomaly detection
- fine grained
- multi task
- multi task learning
- coarse grained
- learning tasks
- intrusion detection
- network intrusion detection
- multi class
- feature selection
- network traffic
- detecting anomalies
- anomalous behavior
- access control
- learning problems
- intrusion detection system
- network security
- active learning
- transfer learning
- one class support vector machines
- unsupervised learning
- learning environment
- databases
- supervised learning
- detect anomalies