Anomaly detection Audibert et al. [72] proposed AE, in which one encoder and two decoders are trained adversarially, to identify network anomalies.
Reference List
- Audibert, J., Michiardi, P., Guyard, F., Marti, S., & Zuluaga, M. A. (2020, August). Usad: Unsupervised anomaly detection on multivariate time series. In Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (pp. 3395-3404).