Facial Dataset Anonymization: Striking the Balance Between Privacy and Utility

Facial Dataset Anonymization: Striking the Balance Between Privacy and Utility

The availability of publicly accessible datasets with identifiable facial images is essential for various research and development purposes. However, this wide access also underscores an increasing need for robust privacy protection. Regulations like the General Data Protection Regulation (GDPR) imp...

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Bibliographic Details
Main Authors: Emna Bensaid, Mohamed Neji, Habib Chabchoub, Khmaies Ouahada, Adel M. Alimi
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Face anonymization
latent space
feature space
StyleGAN
semantic mask
Online Access:https://ieeexplore.ieee.org/document/10767700/

Internet

https://ieeexplore.ieee.org/document/10767700/

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