Self-adaptive Adversarial Training for Robust Medical Segmentation

Author:

Wang Fu,Fu Zeyu,Zhang Yanghao,Ruan Wenjie

Publisher

Springer Nature Switzerland

Reference38 articles.

1. Antonelli, M., Reinke, A., Bakas, S., et al.: The medical segmentation decathlon. Nat. Commun. 13(1), 4128 (2022)

2. Arnab, A., Miksik, O., Torr, P.H.S.: On the robustness of semantic segmentation models to adversarial attacks. In: CVPR (2018)

3. Athalye, A., Carlini, N., et al.: Obfuscated gradients give a false sense of security: circumventing defenses to adversarial examples. In: ICML (2018)

4. Croce, F., et al.: Robustbench: a standardized adversarial robustness benchmark. arXiv preprint arXiv:2010.09670 (2020)

5. Croce, F., Hein, M.: Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks. In: ICML (2020)

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