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In this paper, we propose a novel adversarial training scheme, namely Moderate-Margin Adversarial Training (MMAT), to achieve a better trade-off.
Jul 16, 2022 · In this paper, we propose a novel adversarial training scheme to achieve a better trade-off between robustness and natural accuracy. It aims to ...
In this paper, we propose a novel adversarial training scheme, namely Moderate-Margin Adversarial Training (MMAT), to achieve a better trade-off. Specifically, ...
Jul 19, 2022 · Abstract. Adversarial training, as one of the most effective defense methods against adversarial attacks, tends to learn an inclusive ...
In this paper, we propose a novel adversarial training scheme to achieve a better trade-off between robustness and natural accuracy. It aims to learn a moderate ...
It is implemented by performing adversarial training on a novel adaptive norm projected gradient descent (AN-PGD) attack. Preliminary experimental results ...
R. Rade, S.-M. Moosavi-Dezfooli, Helper-based adversarial training: Reducing excessive margin to achieve a better accuracy vs. robustness trade-off, in: ICML, ...
Towards desirable decision boundary by Moderate-Margin Adversarial Training. Pattern Recognition Letters - Tập 173 - Trang 30-37 - 2023. Xiaoyu Liang 1 ...
Towards the Desirable Decision Boundary by Moderate-Margin Adversarial Training ... training scheme that aims to learn a moderate-inclusive decision boundary ...
It aims to learn a moderate-inclusive decision boundary, which means that the margins of natural examples under the decision boundary are moderate. We call this ...