Curriculum Learning and Pattern-Aware Highly Efficient Privacy-Preserving Scheme for Mixed Data Outsourcing with Minimal Utility Loss
A complex problem when outsourcing personal data for public use is balancing privacy protection with utility, and anonymization is a viable solution to address this issue. However, conventional anonymization methods often overlook global information regarding the composition of attributes in data, l...
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| Principais autores: | , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
MDPI AG
2025-11-01
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| Series: | Applied Sciences |
| Assuntos: | |
| Acceso en liña: | https://www.mdpi.com/2076-3417/15/21/11849 |
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