3D-Aware Adversarial Makeup Generation for Facial Privacy Protection

The privacy and security of face data on social media are facing unprecedented challenges as it is vulnerable to unauthorized access and identification. A common practice for solving this problem is to modify the original data so that it could be protected from being recognized by malicious face rec...

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Bibliographic Details
Published in:IEEE transactions on pattern analysis and machine intelligence 2023-11, Vol.PP (11), p.1-16
Main Authors: Lyu, Yueming, Jiang, Yue, He, Ziwen, Peng, Bo, Liu, Yunfan, Dong, Jing
Format: Article
Language:English
Subjects:
black-box attack
Closed box
Face recognition
Faces
generative adversarial networks
Image quality
makeup transfer
Mathematical models
Modules
Privacy
privacy protection
Social networking (online)
Solid modeling
Three-dimensional displays
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