AnoShift: A Distribution Shift Benchmark for Unsupervised Anomaly Detection

1 code implementation • 30 Jun 2022 • Marius Dragoi, Elena Burceanu, Emanuela Haller, Andrei Manolache, Florin Brad

Analyzing the distribution shift of data is a growing research direction in nowadays Machine Learning (ML), leading to emerging new benchmarks that focus on providing a suitable scenario for studying the generalization properties of ML models.

Network Intrusion Detection Unsupervised Anomaly Detection