Search Results for author:
Found 2 papers, 1 papers with code
EiFFFeL: Enforcing Fairness in Forests by Flipping Leaves
Nowadays Machine Learning (ML) techniques are extensively adopted in many socially sensitive systems, thus requiring to carefully study the fairness of the decisions taken by such systems.
Treant: Training Evasion-Aware Decision Trees
Despite its success and popularity, machine learning is now recognized as vulnerable to evasion attacks, i. e., carefully crafted perturbations of test inputs designed to force prediction errors.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
