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Privacy-Preserving Autoencoder for Collaborative Object Detection
Privacy is a crucial concern in collaborative machine vision where a part of a Deep Neural Network (DNN) model runs on the edge, and the rest is executed on the cloud.
Privacy-Preserving Feature Coding for Machines
We present a novel method to create a privacy-preserving latent representation of an image that could be used by a downstream machine vision model.
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