Understanding the limitations of self-supervised learning for tabular anomaly detection.
Kimberly T. MaiToby DaviesLewis D. GriffinPublished in: CoRR (2023)
Keyphrases
- anomaly detection
- unsupervised learning
- connectionist systems
- anomalous behavior
- intrusion detection
- detecting anomalies
- network traffic
- active learning
- neural network
- computer security
- learning algorithm
- learning problems
- network security
- learning process
- pattern recognition
- detecting anomalous
- data sets
- unsupervised anomaly detection