Anomaly Detection of Tabular Data Using LLMs.
Aodong LiYunhan ZhaoChen QiuMarius KloftPadhraic SmythMaja RudolphStephan MandtPublished in: CoRR (2024)
Keyphrases
- anomaly detection
- tabular data
- cell suppression
- intrusion detection
- anomalous behavior
- controlled tabular adjustment
- one class support vector machines
- detecting anomalies
- network traffic
- intrusion detection system
- differential privacy
- network anomaly detection
- detect anomalies
- unsupervised learning
- network intrusion detection
- databases
- object recognition
- cloud computing
- data analysis
- negative selection algorithm
- reinforcement learning
- machine learning