Robust Semi-Supervised Anomaly Detection via Adversarially Learned Continuous Noise Corruption.
Jack W. BarkerNeelanjan BhowmikYona Falinie A. GausToby P. BreckonPublished in: VISIGRAPP (5: VISAPP) (2023)
Keyphrases
- anomaly detection
- unsupervised anomaly detection
- semi supervised
- intrusion detection
- anomalous behavior
- detecting anomalies
- network intrusion detection
- network traffic
- one class support vector machines
- unsupervised learning
- detecting anomalous
- intrusion detection system
- computer security
- network security
- behavior analysis
- labeled data
- semi supervised learning
- detect anomalies
- image segmentation
- connectionist systems
- data assimilation
- negative selection algorithm
- bayesian networks
- support vector
- normal behavior
- malware detection
- data sets