Attribute-Guided Encryption with Facial Texture Masking. (arXiv:2305.13548v1 [cs.CV])

The increasingly pervasive facial recognition (FR) systems raise serious
concerns about personal privacy, especially for billions of users who have
publicly shared their photos on social media. Several attempts have been made
to protect individuals from unauthorized FR systems utilizing adversarial
attacks to generate encrypted face images to protect users from being
identified by FR systems. However, existing methods suffer from poor visual
quality or low attack success rates, which limit their usability in practice.
In this paper, we propose …

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