Selective Feature Anonymization for Privacy-Preserving Image Data Publishing

Selective Feature Anonymization for Privacy-Preserving Image Data Publishing

There is a strong positive correlation between the development of deep learning and the amount of public data available. Not all data can be released in their raw form because of the risk to the privacy of the related individuals. The main objective of privacy-preserving data publication is to anony...

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Bibliographic Details
Main Authors:	Taehoon Kim, Jihoon Yang
Format:	Article
Language:	English
Published:	MDPI AG 2020-05-01
Series:	Electronics
Subjects:	adversarial learning data privacy deep learning differential privacy generative adversarial networks machine learning
Online Access:	https://www.mdpi.com/2079-9292/9/5/874

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