2 papers
cs.LG2025
Beyond Discriminant Patterns: On the Robustness of Decision Rule Ensembles
Xin Du, Subramanian Ramamoorthy, Wouter Duivesteijn +2
Local decision rules are commonly understood to be more explainable, due to the local nature of the patterns involved. With numerical optimization methods such as gradient boosting…
cs.LG2024
Standard-Deviation-Inspired Regularization for Improving Adversarial Robustness
Olukorede Fakorede, Modeste Atsague, Jin Tian
Adversarial Training (AT) has been demonstrated to improve the robustness of deep neural networks (DNNs) against adversarial attacks. AT is a min-max optimization procedure where i…