Doubly Robust AUC Optimization against Noisy and Adversarial Samples-Reference-Cited by-同舟云学术

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Doubly Robust AUC Optimization against Noisy and Adversarial Samples

Published:2023-08-04 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
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Author:

Zhang Chenkang¹^ORCID,Shi Wanli¹^ORCID,Luo Lei²^ORCID,Gu Bin³^ORCID

Affiliation:

1. Nanjing University of Information Science and Technology, Nanjing, China

2. Nanjing University of Science and Technology, Nanjing, China

3. Nanjing University of Information Science and Technology & Mohamed bin Zayed University of Artificial Intelligence, Nanjing, China

Funder

National Natural Science Foundation of China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3580305.3599316

Reference75 articles.

1. Comparison of deep learning approaches to predict COVID-19 infection

2. Deep semantic segmentation of natural and medical images: a review

3. Wieland Brendel Jonas Rauber Alexey Kurakin Nicolas Papernot Behar Veliqi Sharada P Mohanty Florian Laurent Marcel Salathé Matthias Bethge Yaodong Yu etal 2020. Adversarial vision challenge. In The NeurIPS'18 Competition. Springer 129--153. Wieland Brendel Jonas Rauber Alexey Kurakin Nicolas Papernot Behar Veliqi Sharada P Mohanty Florian Laurent Marcel Salathé Matthias Bethge Yaodong Yu et al. 2020. Adversarial vision challenge. In The NeurIPS'18 Competition. Springer 129--153.

4. A review of the application of deep learning in medical image classification and segmentation

5. Curriculum Adversarial Training

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