Anomaly Detection with Adversarially Learned Perturbations of Latent Space.
Vahid Reza KhazaieAnthony WongJohn Taylor JewellYalda MohsenzadehPublished in: CoRR (2022)
Keyphrases
- anomaly detection
- latent space
- latent variables
- low dimensional
- intrusion detection
- gaussian process
- anomalous behavior
- parameter space
- lower dimensional
- dimensionality reduction
- matrix factorization
- generative model
- high dimensional
- feature space
- manifold learning
- gaussian processes
- detecting anomalies
- distance metric
- transfer learning
- one class support vector machines
- gaussian mixture
- high dimensional data
- probabilistic latent semantic analysis
- unsupervised learning
- data sets
- intrusion detection system
- regression model
- gaussian process latent variable models
- detect anomalies
- original data
- principal component analysis
- collaborative filtering
- information extraction
- data points
- similarity measure