Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Privacy-Protective-GAN for Face De-identification   Face de-identification has become increasingly important as the image sources
are explosively growing and easily accessible. The advance of new face
recognition techniques also arises people's concern regarding the privacy
leakage. The mainstream pipelines of face de-identification are mostly based on
the k-same framework, which bears critiques of low effectiveness and poor
visual quality. In this paper, we propose a new framework called
Privacy-Protective-GAN (PP-GAN) that adapts GAN with novel verificator and
regulator modules specially designed for the face de-identification problem to
ensure generating de-identified output with retained structure similarity
according to a single input. We evaluate the proposed approach in terms of
privacy protection, utility preservation, and structure similarity. Our
approach not only outperforms existing face de-identification techniques but
also provides a practical framework of adapting GAN with priors of domain
knowledge.

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The categories of this paper are: patt-sol
23
The categories of this paper are: solv-int
6
The categories of this paper are: astro-ph
12
The categories of this paper are: nucl-th
5
The categories of this paper are: gr-qc
33
The categories of this paper are: plasm-ph
13
The categories of this paper are: quant-ph
34
The categories of this paper are: chem-ph
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The categories of this paper are: hep-ex
37
The categories of this paper are: supr-con
18
The categories of this paper are: econ
9
The categories of this paper are: nlin
15
The categories of this paper are: nucl-ex
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The categories of this paper are: chao-dyn
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The categories of this paper are: bayes-an
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The categories of this paper are: acc-phys