Fine-grained Anomaly Detection via Multi-task Self-Supervision.
Loïc JezequelNgoc-Son VuJean BeaudetAymeric HistacePublished in: CoRR (2021)
Keyphrases
- fine grained
- anomaly detection
- multi task
- multi task learning
- coarse grained
- learning tasks
- intrusion detection
- anomalous behavior
- detecting anomalies
- intrusion detection system
- access control
- multi class
- feature selection
- network intrusion detection
- network traffic
- active learning
- network security
- transfer learning
- learning problems
- unsupervised learning
- one class support vector machines
- detect anomalies
- machine learning
- high order
- information gain
- learning experience
- text categorization
- feature space
- information retrieval