A Comparative Analysis of Defense Mechanisms Against Model Inversion Attacks on Tabular Data
As more machine learning models are used in sensitive fields like healthcare, finance, and smart infrastructure, protecting structured tabular data from privacy attacks is a key research challenge. Although several privacy-preserving methods have been proposed for tabular data, a comprehensive compa...
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| Huvudupphov: | , , |
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| Materialtyp: | Artigo |
| Språk: | Inglês |
| Utgiven: |
MDPI AG
2025-10-01
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| Serie: | Journal of Cybersecurity and Privacy |
| Ämnen: | |
| Länkar: | https://www.mdpi.com/2624-800X/5/4/80 |
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