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Papers
Attack-free Evaluating and Enhancing Adversarial Robustness on Categorical Data
ICML 2024
DiffAug: A Diffuse-and-Denoise Augmentation for Training Robust Classifiers
NeurIPS 2024
How Many Perturbations Break This Model? Evaluating Robustness Beyond Adversarial Accuracy
ICML 2023
Efficient Training of Robust Decision Trees Against Adversarial Examples
ICML 2021
Reinforcement Based Learning on Classification Task Yields Better Generalization and Adversarial Accuracy (Student Abstract)
AAAI 2021
Efficient Adversarial Training With Transferable Adversarial Examples
CVPR 2020