Publisher
Springer Berlin Heidelberg
Cited by
17 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Hierarchical adaptive evolution framework for privacy-preserving data publishing;World Wide Web;2024-07
2. A Review of Traditional and Neural Network Methods for Protecting Privacy in Big Data Analytics;Lecture Notes in Networks and Systems;2024
3. A Privacy Preserving Service-Oriented Approach for Data Anonymization Through Deep Learning;2023 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech);2023-11-14
4. Generating t-Closed Partitions of Datasets with Multiple Sensitive Attributes;2023 7th International Conference on Cryptography, Security and Privacy (CSP);2023-04
5. TLEF: Two-Layer Evolutionary Framework for t-Closeness Anonymization;Web Information Systems Engineering – WISE 2023;2023