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Risk-Equalized Differentially Private Synthetic Data: Protecting Outliers by Controlling Record-Level Influence

Fuente: arXiv

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Dettagli Bibliografici
Autori principali:	Asiaee, Amir, Yan, Chao, Abrams, Zachary B., Malin, Bradley A.
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Machine Learning
Accesso online:	Acceder al recurso
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