Boosting adversarial robustness via feature refinement, suppression, and alignment
- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- Extent
-
1 Online-Ressource.
- Language
-
Englisch
- Bibliographic citation
-
Boosting adversarial robustness via feature refinement, suppression, and alignment ; day:18 ; month:1 ; year:2024 ; pages:1-21
Complex & intelligent systems ; (18.1.2024), 1-21
- Creator
-
Wu, Yulun
Guo, Yanming
Chen, Dongmei
Yu, Tianyuan
Xiao, Huaxin
Guo, Yuanhao
Bai, Liang
- Contributor
-
SpringerLink (Online service)
- DOI
-
10.1007/s40747-023-01311-0
- URN
-
urn:nbn:de:101:1-2024033111282714625942
- Rights
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
14.08.2025, 10:59 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Wu, Yulun
- Guo, Yanming
- Chen, Dongmei
- Yu, Tianyuan
- Xiao, Huaxin
- Guo, Yuanhao
- Bai, Liang
- SpringerLink (Online service)
Other Objects (12)
Adversarial attacks and adversarial robustness in computational pathology
Sliced Wasserstein adversarial training for improving adversarial robustness
Adversarial attacks and adversarial robustness in computational pathology
Certified Adversarial Robustness With Domain Constraints
Adversarial Robustness of Graph Neural Networks
Adversarial robustness improvement for deep neural networks
Boosting Adversarial Training Using Robust Selective Data Augmentation
Adversarial classification via distributional robustness with Wasserstein ambiguity
Robustness in Machine Learning: Adversarial Perturbations, Explanations & Intuition
Advances in Reliably Evaluating and Improving Adversarial Robustness
Robustness to adversarial examples can be improved with overfitting
Improving Robustness of Jet Tagging Algorithms with Adversarial Training
Adversarial attacks and adversarial robustness in computational pathology
Sliced Wasserstein adversarial training for improving adversarial robustness
Adversarial attacks and adversarial robustness in computational pathology
Certified Adversarial Robustness With Domain Constraints
Adversarial Robustness of Graph Neural Networks
Adversarial robustness improvement for deep neural networks
Boosting Adversarial Training Using Robust Selective Data Augmentation
Adversarial classification via distributional robustness with Wasserstein ambiguity
Robustness in Machine Learning: Adversarial Perturbations, Explanations & Intuition
Advances in Reliably Evaluating and Improving Adversarial Robustness
Robustness to adversarial examples can be improved with overfitting
Improving Robustness of Jet Tagging Algorithms with Adversarial Training
Adversarial attacks and adversarial robustness in computational pathology
Sliced Wasserstein adversarial training for improving adversarial robustness
Adversarial attacks and adversarial robustness in computational pathology
Certified Adversarial Robustness With Domain Constraints
Adversarial Robustness of Graph Neural Networks
Adversarial robustness improvement for deep neural networks
Boosting Adversarial Training Using Robust Selective Data Augmentation
Adversarial classification via distributional robustness with Wasserstein ambiguity
Robustness in Machine Learning: Adversarial Perturbations, Explanations & Intuition
Advances in Reliably Evaluating and Improving Adversarial Robustness
Robustness to adversarial examples can be improved with overfitting