Secure speech-recognition data transfer in the internet of things using a power system and a tried-and-true key generation technique-Reference-Cited by-同舟云学术

Secure speech-recognition data transfer in the internet of things using a power system and a tried-and-true key generation technique

Published:2024-07-29 Issue: Volume: Page:
ISSN:1386-7857
Container-title:Cluster Computing
language:en
Short-container-title:Cluster Comput

Author:

Wang Zhe,He Shuangbai,Li Guoan

Funder

Key information project of China Southern Power Grid Energy Research Institute Power planning basic database v1.0 construction project of China Southern Power Grid

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s10586-024-04649-3.pdf

Reference32 articles.

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2. Abdullah, H., Warren, K., Bindschaedler, V., Papernot, N., Traynor, P.: Sok: the faults in our answers: an overview of attacks against automatic speech recognition and speaker identification systems. In: 2021 IEEE Symposium on Security and Privacy (SP), pp. 730–747. IEEE (2021)

3. Aghakhani, H., Schönherr, L., Eisenhofer, T., Kolossa, D., Holz, T., Kruegel, C., Vigna, G.: VenoMave: targeted poisoning against speech recognition. In: 2023 IEEE Conference on Secure and Trustworthy Machine Learning (SaTML), pp. 404–417. IEEE (2023)

4. Aloufi, R., Haddadi, H. and Boyle, D.: Configurable privacy-preserving automatic speech recognition (2021). arXiv preprint arXiv:2104.00766

5. Bajpai, S., Radha, D.: Smartphone as a controlling device for smart homes using speech recognition. In: 2019 International Conference on Communication and Signal Processing (ICCSP), pp. 0701–0705. IEEE (2019)