Isolation Forests are one algorithm for AD
Tries to isolate abnormal (rare) points instead of modelling normal ones
Creative approach->fairly successful (3000 Citations)
Many follow up papers
Extended Isolation Forest (Hariri et. al. 2018, 140 Citations)
Remove bias from the Isolation Forests
Also claim to improve their anomaly detection quality
(repeat with both cuts and ad quality)