Facial Image Privacy Protection Based on Principal Components of Adversarial Segmented Image Blocks

The features in facial images, which are utilized for a variety of technological applications, pose a significant privacy concern for users. This paper proposes a method for protecting privacy in facial images based on the principal components of adversarial segmented image blocks. Generative advers...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	IEEE access 2020, Vol.8, p.103385-103394
Hauptverfasser:	Yang, Jingjing, Liu, Jiaxing, Wu, Jinzhao
Format:	Artikel
Sprache:	eng
Schlagworte:	adversarial samples Face recognition Facial image privacy protection Feature extraction generative adversarial network Generators Image quality Image segmentation Linear algebra Object recognition Perturbation Perturbation methods Principal component analysis principal components Privacy Security management Target recognition
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!