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Found 3 papers, 1 papers with code
Privacy-Preserving Deep Learning Using Deformable Operators for Secure Task Learning
To address these challenges, we propose a novel Privacy-Preserving framework that uses a set of deformable operators for secure task learning.
Privacy-preserving Optics for Enhancing Protection in Face De-identification
Specifically, our approach first learns an optical encoder along with a regression model to obtain a face heatmap while hiding the face identity from the source image.
Depth Estimation from a Single Optical Encoded Image using a Learned Colored-Coded Aperture
Depth estimation from a single image of a conventional camera is a challenging task since depth cues are lost during the acquisition process.
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