CE$$^2$$: A Copula Entropic Mutual Information Estimator for Enhancing Adversarial Robustness

Author:

Liu Lin,Hu Cong,Wu Xiao-Jun

Publisher

Springer Nature Singapore

Reference40 articles.

1. Belghazi, M.I., et al.: Mutual information neural estimation. In: ICML. Proceedings of Machine Learning Research, vol. 80, pp. 530–539. PMLR (2018)

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3. Croce, F., Hein, M.: Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks. In: ICML. Proceedings of Machine Learning Research, vol. 119, pp. 2206–2216. PMLR (2020)

4. Ding, G.W., Lui, K.Y.C., Jin, X., Wang, L., Huang, R.: On the sensitivity of adversarial robustness to input data distributions. In: ICLR (Poster). OpenReview.net (2019)

5. Duan, Y., Lu, J., Zheng, W., Zhou, J.: Deep adversarial metric learning. IEEE Trans. Image Process. 29, 2037–2051 (2020)

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