ChildDiffusion: Unlocking the Potential of Generative AI and Controllable Augmentations for Child Facial Data Using Stable Diffusion and Large Language Models
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Access"
DOI: 10.1109/access.2025.3575964
Abstract: Ensuring the availability of child facial datasets is essential for advancing AI applications, yet legal, ethical, and data scarcity concerns pose significant challenges. Current generative models such as StyleGAN excel at producing synthetic facial data… read more here.
Keywords: large language; data using; facial data; child facial ... See more keywords
Facial Data Minimization: Shallow Model as Your Privacy Filter
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Dependable and Secure Computing"
DOI: 10.1109/tdsc.2025.3563477
Abstract: Face recognition service has been widely adopted across various domains, offering significant convenience and enhancing efficiency in numerous applications. However, once a user's facial data is transmitted to a service provider, the user will lose… read more here.
Keywords: facial data; privacy; face; face recognition ... See more keywords
Recovering Joint and Individual Components in Facial Data
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DOI: 10.1109/tpami.2017.2784421
Abstract: A set of images depicting faces with different expressions or in various ages consists of components that are shared across all images (i.e., joint components) imparting to the depicted object the properties of human faces… read more here.
Keywords: facial data; sparse gross; individual components; components facial ... See more keywords