Black-box adversarial attacks through speech distortion for speech emotion recognition
- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
1687-4722
- Extent
-
Online-Ressource
- Language
-
Englisch
- Notes
-
online resource.
- Bibliographic citation
-
Black-box adversarial attacks through speech distortion for speech emotion recognition ; volume:2022 ; number:1 ; day:17 ; month:8 ; year:2022 ; pages:1-10 ; date:12.2022
EURASIP Journal on audio, speech, and music processing / European Association for Speech, Signal and Image Processing ; 2022, Heft 1 (17.8.2022), 1-10, 12.2022
- Creator
-
Gao, Jinxing
Yan, Diqun
Dong, Mingyu
- Contributor
-
SpringerLink (Online service)
- DOI
-
10.1186/s13636-022-00254-7
- URN
-
urn:nbn:de:101:1-2022110420130329178366
- Rights
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
- 15.08.2025, 7:27 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
- Gao, Jinxing
- Yan, Diqun
- Dong, Mingyu
- SpringerLink (Online service)
Other Objects (12)
Enhancing transferability of black-box adversarial attacks via lifelong learning for speech emotion recognition models
Generating and protecting against adversarial attacks for deep speech-based emotion recognition models
Towards the universal defense for query-based audio adversarial attacks on speech recognition system
Evaluating the Robustness of Image Classifiers With Adaptive Black-Box Adversarial Attacks
Robustness of generative AI detection: adversarial attacks on black-box neural text detectors
Deep architecture enhancing robustness to noise, adversarial attacks, and cross-corpus setting for speech emotion recognition
Improved Wasserstein conditional generative adversarial network speech enhancement
Improving speech emotion recognition via generative adversarial networks
Cycle-consistent adversarial networks for automatic speech recognition
Augmenting generative adversarial networks for speech emotion recognition
Restoring Lost Speech Components with Generative Adversarial Networks for Speech Communications in Adverse Conditions
Timing black-box attacks: crafting adversarial examples through timing leaks against DNNs on embedded devices
Enhancing transferability of black-box adversarial attacks via lifelong learning for speech emotion recognition models
Generating and protecting against adversarial attacks for deep speech-based emotion recognition models
Towards the universal defense for query-based audio adversarial attacks on speech recognition system
Evaluating the Robustness of Image Classifiers With Adaptive Black-Box Adversarial Attacks
Robustness of generative AI detection: adversarial attacks on black-box neural text detectors
Deep architecture enhancing robustness to noise, adversarial attacks, and cross-corpus setting for speech emotion recognition
Improved Wasserstein conditional generative adversarial network speech enhancement
Improving speech emotion recognition via generative adversarial networks
Cycle-consistent adversarial networks for automatic speech recognition
Augmenting generative adversarial networks for speech emotion recognition
Restoring Lost Speech Components with Generative Adversarial Networks for Speech Communications in Adverse Conditions
Timing black-box attacks: crafting adversarial examples through timing leaks against DNNs on embedded devices
Enhancing transferability of black-box adversarial attacks via lifelong learning for speech emotion recognition models
Generating and protecting against adversarial attacks for deep speech-based emotion recognition models
Towards the universal defense for query-based audio adversarial attacks on speech recognition system
Evaluating the Robustness of Image Classifiers With Adaptive Black-Box Adversarial Attacks
Robustness of generative AI detection: adversarial attacks on black-box neural text detectors
Deep architecture enhancing robustness to noise, adversarial attacks, and cross-corpus setting for speech emotion recognition
Improved Wasserstein conditional generative adversarial network speech enhancement
Improving speech emotion recognition via generative adversarial networks
Cycle-consistent adversarial networks for automatic speech recognition
Augmenting generative adversarial networks for speech emotion recognition
Restoring Lost Speech Components with Generative Adversarial Networks for Speech Communications in Adverse Conditions