Novel frameworks for systematic assessment of privacy risks in affective speech AI models

Alsenani, Basmah Mohammed E (2025) Novel frameworks for systematic assessment of privacy risks in affective speech AI models. PhD thesis, University of Glasgow.

Due to Embargo and/or Third Party Copyright restrictions, this thesis is not available in this service.

Abstract

Abstract not currently available.

Item Type: Thesis (PhD)
Qualification Level: Doctoral
Additional Information: Supported by Umm Al-Qura University and the Saudi Arabian Cultural Bureau.
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Colleges/Schools: College of Science and Engineering > School of Computing Science
Supervisor's Name: Vinciarelli, Professor Alessandro and Guha, Dr. Tanaya
Date of Award: 2025
Embargo Date: 28 March 2028
Depositing User: Theses Team
Unique ID: glathesis:2025-85054
Copyright: Copyright of this thesis is held by the author.
Date Deposited: 15 Apr 2025 10:25
Last Modified: 15 Apr 2025 12:47
Thesis DOI: 10.5525/gla.thesis.85054
URI: https://theses.gla.ac.uk/id/eprint/85054
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