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Real-Time Application of Deepfake fo...

Inuwa, Muhsin Mustapha,

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Real-Time Application of Deepfake for De-Identification: Privacy Preservation and Data Protection /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Real-Time Application of Deepfake for De-Identification: Privacy Preservation and Data Protection // Muhsin Mustapha Inuwa.
Author:	Inuwa, Muhsin Mustapha,
Description:	1 electronic resource (127 pages)
Notes:	Source: Dissertations Abstracts International, Volume: 86-08, Section: B.
Contained By:	Dissertations Abstracts International86-08B.
Subject:	Software. -
Online resource:	https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=31868988
ISBN:	9798304975032

Real-Time Application of Deepfake for De-Identification: Privacy Preservation and Data Protection /
Inuwa, Muhsin Mustapha,

Real-Time Application of Deepfake for De-Identification: Privacy Preservation and Data Protection /Muhsin Mustapha Inuwa. - 1 electronic resource (127 pages)

Source: Dissertations Abstracts International, Volume: 86-08, Section: B.

In an era marked by mounting concerns over data privacy and protection, conventional regulatory measures have proven inadequate against cyber-attacks, complicating data sharing for research and development. Meanwhile, traditional face de-identification methods often result in the complete erasure of facial information, hampering facial behaviour analysis. This thesis addresses these challenges by proposing a real-time deepfake deidentification for privacy preservation and data protection. Leveraging a first-order motion model and Mediapipe model of deidentification, the study investigates methods to accurately identify multiple faces within a single image, crucial for comprehensive deepfake models. Three distinct models were developed and tested to achieve deidentification of created deepfakes. Experimentation from various angles revealed differing levels of success, with considerations such as processing power, model openness, and training data quality influencing outcomes. Despite challenges, the study demonstrates the feasibility of real-time deepfake technology for privacy preservation and data protection. The proposed pipeline offers potential solutions to ethical concerns associated with data sharing, with implications extending to healthcare, autonomous vehicles, and unmanned aerial vehicle technology.

English

ISBN: 9798304975032Subjects--Topical Terms:

619355
Software.
Subjects--Index Terms:

Unmanned aerial vehicle technology

Real-Time Application of Deepfake for De-Identification: Privacy Preservation and Data Protection /
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