FiLo: Zero-Shot Anomaly Detection by Fine-Grained Description and High-Quality Localization.
Zhaopeng GuBingke ZhuGuibo ZhuYingying ChenHao LiMing TangJinqiao WangPublished in: CoRR (2024)
Keyphrases
- fine grained
- anomaly detection
- coarse grained
- intrusion detection
- anomalous behavior
- detecting anomalies
- network intrusion detection
- network traffic
- unsupervised anomaly detection
- intrusion detection system
- high level
- one class support vector machines
- negative selection algorithm
- detecting anomalous
- access control
- network security
- unsupervised learning
- detect anomalies
- network anomaly detection
- network intrusion
- information systems
- machine learning