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Plausible deniability for privacy-preserving data synthesis. (arXiv:2212.06604v1 [cs.CR])
Dec. 14, 2022, 2:10 a.m. | Song Mei, Zhiqiang Ye
cs.CR updates on arXiv.org arxiv.org
In the field of privacy protection, publishing complete data (especially
high-dimensional data sets) is one of the most challenging problems. The common
encryption technology can not deal with the attacker to take differential
attack to obtain sensitive information, while the existing differential privacy
protection algorithm model takes a long time for high-dimensional calculation
and needs to add noise to reduce data accuracy, which is not suitable for
high-dimensional large data sets. In view of this situation, this paper designs
a …
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