A hierarchical approach for assessing the vulnerability of tree-based classification models to membership inference attack

Richard J. Preen, Jim Smith

Machine learning models can inadvertently expose confidential properties of their training data, making them vulnerable to membership inference attacks (MIA). While numerous evalua…