Face Privacy
PrivacyNet
Introduced by Mirjalili et al. in PrivacyNet: Semi-Adversarial Networks for Multi-attribute Face PrivacyPrivacyNet is a GAN-based semi-adversarial network (SAN) that modifies an input face image such that it can be used by a face matcher for matching purposes but cannot be reliably used by an attribute classifier. PrivacyNet allows a person to choose specific attributes that have to be obfuscated in the input face images (e.g., age and race), while allowing for other types of attributes to be extracted (e.g., gender).
Source: PrivacyNet: Semi-Adversarial Networks for Multi-attribute Face Privacy
Papers
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Usage Over Time
Components
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| 🤖 No Components Found | You can add them if they exist; e.g. Mask R-CNN uses RoIAlign |
