- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
1573-0565
- Extent
-
Online-Ressource
- Language
-
Englisch
- Notes
-
online resource.
- Bibliographic citation
-
Aliasing and adversarial robust generalization of CNNs ; day:26 ; month:8 ; year:2022 ; pages:1-27
Machine learning ; (26.8.2022), 1-27
- Creator
- Contributor
-
SpringerLink (Online service)
- DOI
-
10.1007/s10994-022-06222-8
- URN
-
urn:nbn:de:101:1-2022111309090448305679
- Rights
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
15.08.2025, 7:34 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
- Grabinski, Julia
- Keuper, Janis
- Keuper, Margret
- SpringerLink (Online service)
Other Objects (12)
Robust Optimization for Adversarial Deep Learning
Enhancing Generalization in Few-Shot Learning for Detecting Unknown Adversarial Examples
Robust anomaly detection via adversarial counterfactual generation
Adversarial Coreset Selection for Efficient Robust Training
3D Adversarial Augmentations for Robust Out-of-Domain Predictions
Domain adversarial neural networks for domain generalization: when it works and how to improve
Boosting Adversarial Training Using Robust Selective Data Augmentation
Exploring misclassifications of robust neural networks to enhance adversarial attacks
Exploring misclassifications of robust neural networks to enhance adversarial attacks
Robust adversarial uncertainty quantification for deep learning fine-tuning
ANN: adversarial news net for robust fake news classification
Robust Generalization despite Distribution Shift via Minimum Discriminating Information
Robust Optimization for Adversarial Deep Learning
Enhancing Generalization in Few-Shot Learning for Detecting Unknown Adversarial Examples
Robust anomaly detection via adversarial counterfactual generation
Adversarial Coreset Selection for Efficient Robust Training
3D Adversarial Augmentations for Robust Out-of-Domain Predictions
Domain adversarial neural networks for domain generalization: when it works and how to improve
Boosting Adversarial Training Using Robust Selective Data Augmentation
Exploring misclassifications of robust neural networks to enhance adversarial attacks
Exploring misclassifications of robust neural networks to enhance adversarial attacks
Robust adversarial uncertainty quantification for deep learning fine-tuning
ANN: adversarial news net for robust fake news classification
Robust Generalization despite Distribution Shift via Minimum Discriminating Information
Robust Optimization for Adversarial Deep Learning
Enhancing Generalization in Few-Shot Learning for Detecting Unknown Adversarial Examples
Robust anomaly detection via adversarial counterfactual generation
Adversarial Coreset Selection for Efficient Robust Training
3D Adversarial Augmentations for Robust Out-of-Domain Predictions
Domain adversarial neural networks for domain generalization: when it works and how to improve
Boosting Adversarial Training Using Robust Selective Data Augmentation
Exploring misclassifications of robust neural networks to enhance adversarial attacks
Exploring misclassifications of robust neural networks to enhance adversarial attacks
Robust adversarial uncertainty quantification for deep learning fine-tuning
ANN: adversarial news net for robust fake news classification