2DSig-Detect: a semi-supervised framework for anomaly detection on image data using 2D-signatures

Xinheng Xie, Kureha Yamaguchi, Margaux Leblanc +4

The rapid advancement of machine learning technologies raises questions about the security of machine learning models, with respect to both training-time (poisoning) and test-time…