Evaluating Variational Autoencoder as a Private Data Release Mechanism for Tabular Data

Multi-market businesses can collect data from different business entities and aggregate data from various sources to create value. However, due to the restriction of privacy regulation, it could be illegal to exchange data between business entities of the same parent company, unless the users have o...

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Vydané v:	Proceedings (IEEE Pacific Rim International Symposium on Dependable Computing) s. 198 - 1988
Hlavní autori:	Li, Szu-Chuang, Tai, Bo-Chen, Huang, Yennun
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 01.12.2019
Predmet:	Accuracy Analytical models Autoencoders Data models Differential privacy k anonymity k Level private data release Regulation Stochastic processes Synthetic data Training data Usability variational autoencoder
ISSN:	2473-3105
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