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Face Database Protection via Beautification with Chaotic Systems

The database of faces containing sensitive information is at risk of being targeted by unauthorized automatic recognition systems, which is a significant concern for privacy. Although there are existing methods that aim to conceal identifiable information by adding adversarial perturbations to faces...

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Detalles Bibliográficos
Autores principales: Wang, Tao, Zhang, Yushu, Zhao, Ruoyu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10137820/
https://www.ncbi.nlm.nih.gov/pubmed/37190354
http://dx.doi.org/10.3390/e25040566