Evaluating Differentially Private Generative Adversarial Networks Over Membership Inference Attack

Evaluating Differentially Private Generative Adversarial Networks Over Membership Inference Attack

As communication technology advances with 5G, the amount of data accumulated online is explosively increasing. From these data, valuable results are being created through data analysis technologies. Among them, artificial intelligence (AI) has shown remarkable performances in various fields and is e...

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Bibliographic Details
Main Authors: Cheolhee Park, Youngsoo Kim, Jong-Geun Park, Dowon Hong, Changho Seo
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Differential privacy
artificial intelligence
deep learning
generative adversarial networks
privacy-preserving deep learning
membership inference attack
Online Access:https://ieeexplore.ieee.org/document/9656913/

Internet

https://ieeexplore.ieee.org/document/9656913/

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