DPVisCreator : Incorporating Pattern Constraints to Privacy-preserving Visualizations via Differential Privacy

Data privacy is an essential issue in publishing data visualizations. However, it is challenging to represent multiple data patterns in privacy-preserving visualizations. The prior approaches target specific chart types or perform an anonymization model uniformly without considering the importance o...

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Publié dans:IEEE transactions on visualization and computer graphics. - 1996. - 29(2023), 1 vom: 27. Jan., Seite 809-819
Auteur principal: Zhou, Jiehui (Auteur)
Autres auteurs: Wang, Xumeng, Wong, Jason K, Wang, Huanliang, Wang, Zhongwei, Yang, Xiaoyu, Yan, Xiaoran, Feng, Haozhe, Qu, Huamin, Ying, Haochao, Chen, Wei
Format: Article en ligne
Langue:English
Publié: 2023
Accès à la collection:IEEE transactions on visualization and computer graphics
Sujets:Journal Article