Proving Data-Poisoning Robustness in Decision Trees

Authors: Samuel Drews, Aws Albarghouthi, Loris D'Antoni

Published: 2023-01-20

DOI: 10.1145/3576894

Source: Full article


Abstract

Machine learning models are brittle, and small changes in the training data can result in different predictions. We study the problem of proving that a prediction is robust to