Anomaly Detection with Adversarially Learned Perturbations of Latent Space.
Vahid Reza KhazaieAnthony WongJohn Taylor JewellYalda MohsenzadehPublished in: CRV (2022)
Keyphrases
- anomaly detection
- latent space
- low dimensional
- gaussian process
- latent variables
- generative model
- intrusion detection
- lower dimensional
- manifold learning
- parameter space
- matrix factorization
- dimensionality reduction
- gaussian processes
- feature space
- anomalous behavior
- detecting anomalies
- high dimensional
- transfer learning
- gaussian mixture
- intrusion detection system
- probabilistic latent semantic analysis
- high dimensional data
- gaussian process latent variable models
- detect anomalies
- one class support vector machines
- probabilistic model
- pattern recognition
- unsupervised learning
- feature selection
- distance metric
- regression model
- em algorithm
- semi supervised
- prior knowledge