Robust Learning of Deep Time Series Anomaly Detection Models with Contaminated Training Data.
Wenkai LiCheng FengTing ChenJun ZhuPublished in: CoRR (2022)
Keyphrases
- anomaly detection
- intrusion detection
- learning algorithm
- training data
- learning process
- connectionist systems
- detecting anomalies
- behavior analysis
- supervised learning
- anomalous behavior
- network intrusion detection
- computer security
- unsupervised learning
- detect anomalies
- one class support vector machines
- network anomaly detection
- decision trees
- cumulative sum
- hidden variables
- maximum entropy
- learning problems
- network traffic
- intrusion detection system
- model selection
- knowledge discovery
- probabilistic model
- active learning
- face recognition