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Privacy-Preserving Image Sharing via Sparsifying Layers on Convolutional Groups
[article]
2020
arXiv
pre-print
We propose a practical framework to address the problem of privacy-aware image sharing in large-scale setups. We argue that, while compactness is always desired at scale, this need is more severe when trying to furthermore protect the privacy-sensitive content. We therefore encode images, such that, from one hand, representations are stored in the public domain without paying the huge cost of privacy protection, but ambiguated and hence leaking no discernible content from the images, unless a
arXiv:2002.01469v1
fatcat:kzi7dsyp35eaxb5iwf3g7dtvsm