CaFA: Cost-aware, Feasible Attacks With Database Constraints Against Neural Tabular Classifiers

Matan Ben-Tov, Daniel Deutch, Nave Frost +1

This work presents CaFA, a system for Cost-aware Feasible Attacks for assessing the robustness of neural tabular classifiers against adversarial examples realizable in the problem…