Unsupervised Adversarial Anomaly Detection using One-Class Support Vector Machines

no code implementations • ICLR 2018 • Prameesha Sandamal Weerasinghe, Tansu Alpcan, Sarah Monazam Erfani, Christopher Leckie

Anomaly detection discovers regular patterns in unlabeled data and identifies the non-conforming data points, which in some cases are the result of malicious attacks by adversaries.

Anomaly Detection BIG-bench Machine Learning