Novel frameworks for systematic assessment of privacy risks in affective speech AI models (original) (raw)

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

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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
Related URLs: Conference proceedingConference proceeding

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