Tsui-Wei Weng

Learning Sample Reweighting for Accuracy and Adversarial Robustness

2022 · arXiv (Cornell University)

There has been great interest in enhancing the robustness of neural network classifiers to defend against adversarial perturbations through adversarial training, while balancing the trade-off between robust accuracy and standard accuracy. We propose a novel …