AutoGAN-based dimension reduction for privacy preservation

• Published in: Neurocomputing (Amsterdam) Vol. 384; pp. 94 - 103
• Main Authors: Nguyen, Hung, Zhuang, Di, Wu, Pei-Yuan, Chang, Morris
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 07.04.2020
• Subjects: Access control; Auto-encoder; Dimension reduction; Generative adversarial nets; Neural-network; Privacy preservation; Access control; Dimension reduction; Privacy preservation; Auto-encoder; Generative adversarial nets; Neural-network

Protecting sensitive information against data exploiting attacks is an emerging research area in data mining. Over the past, several different methods have been introduced to protect individual privacy from such attacks while maximizing data-utility of the application. However, these existing techni...