Data Privacy in the Digital Era: Machine Learning Solutions for Confidentiality
Data privacy has grown to be of utmost importance in today's digitally driven world. Protecting sensitive information has never been more important due to the explosion of data across many areas. This abstract explores cutting-edge machine learning techniques for improving data privacy in the d...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
EDP Sciences
2024-01-01
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| Series: | E3S Web of Conferences |
| Subjects: | |
| Online Access: | https://www.e3s-conferences.org/articles/e3sconf/pdf/2024/21/e3sconf_icecs2024_02024.pdf |