Mitigating adversarial evasion attacks by deep active learning for medical image classification
- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
1573-7721
- Extent
-
Online-Ressource
- Language
-
Englisch
- Notes
-
online resource.
- Bibliographic citation
-
Mitigating adversarial evasion attacks by deep active learning for medical image classification ; day:12 ; month:7 ; year:2022 ; pages:1-12
Multimedia tools and applications ; (12.7.2022), 1-12
- Creator
- Contributor
-
SpringerLink (Online service)
- DOI
-
10.1007/s11042-021-11473-z
- URN
-
urn:nbn:de:101:1-2022091419333822948388
- Rights
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
15.08.2025, 7:33 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
- Ahmed, Usman
- Lin, Jerry Chun-Wei
- Srivastava, Gautam
- SpringerLink (Online service)
Other Objects (12)
Adversarial attacks and adversarial robustness in computational pathology
Adversarial attacks and adversarial robustness in computational pathology
Universal adversarial attacks on deep neural networks for medical image classification
Minimum Power Adversarial Attacks in Communication Signal Modulation Classification with Deep Learning
Adversarial Attacks auf radargestützte KI-Anwendungen
Adversarial attacks on fingerprint liveness detection
Safety-critical computer vision: an empirical survey of adversarial evasion attacks and defenses on computer vision systems
Strengthening intrusion detection system for adversarial attacks: improved handling of imbalance classification problem
A survey of practical adversarial example attacks
Targeted adversarial attacks on wind power forecasts
Adversarial attacks on machine learning-aided visualizations
Enhancing trustworthy deep learning for image classification against evasion attacks: a systematic literature review
Adversarial attacks and adversarial robustness in computational pathology
Adversarial attacks and adversarial robustness in computational pathology
Universal adversarial attacks on deep neural networks for medical image classification
Minimum Power Adversarial Attacks in Communication Signal Modulation Classification with Deep Learning
Adversarial Attacks auf radargestützte KI-Anwendungen
Adversarial attacks on fingerprint liveness detection
Safety-critical computer vision: an empirical survey of adversarial evasion attacks and defenses on computer vision systems
Strengthening intrusion detection system for adversarial attacks: improved handling of imbalance classification problem
A survey of practical adversarial example attacks
Targeted adversarial attacks on wind power forecasts
Adversarial attacks on machine learning-aided visualizations
Enhancing trustworthy deep learning for image classification against evasion attacks: a systematic literature review
Adversarial attacks and adversarial robustness in computational pathology
Adversarial attacks and adversarial robustness in computational pathology
Universal adversarial attacks on deep neural networks for medical image classification
Minimum Power Adversarial Attacks in Communication Signal Modulation Classification with Deep Learning
Adversarial Attacks auf radargestützte KI-Anwendungen
Adversarial attacks on fingerprint liveness detection
Safety-critical computer vision: an empirical survey of adversarial evasion attacks and defenses on computer vision systems
Strengthening intrusion detection system for adversarial attacks: improved handling of imbalance classification problem
A survey of practical adversarial example attacks
Targeted adversarial attacks on wind power forecasts
Adversarial attacks on machine learning-aided visualizations