ADFA: Attention-augmented Differentiable top-k Feature Adaptation for Unsupervised Medical Anomaly Detection.
Yiming HuangGuole LiuYaoru LuoGe YangPublished in: CoRR (2023)
Keyphrases
- anomaly detection
- unsupervised anomaly detection
- unsupervised learning
- intrusion detection
- novelty detection
- detecting anomalies
- anomalous behavior
- network intrusion detection
- one class support vector machines
- network traffic
- intrusion detection system
- semi supervised
- behavior analysis
- computer security
- network anomaly detection
- detecting anomalous
- network security
- feature vectors
- pairwise
- detect anomalies
- supervised learning
- query processing
- cumulative sum
- data sets
- data analysis
- network intrusion
- negative selection algorithm
- neural network