Резултати
| Title: | Differentially Private Synthetic Data with Private Density Estimation | Authors: | Bojkovic, Nikolija; Loh, Po Ling | Issue Date: | 2024 | Publication: | 2024 IEEE INTERNATIONAL SYMPOSIUM ON INFORMATION THEORY, ISIT 2024 | ISSN: | 2157-8095  Search Idenfier |
Type: | Conference Paper | Collation: | str. 599-604 | DOI: | 10.1109/ISIT57864.2024.10619641 | WoS-ID: | 001304426900102 | Scopus-ID: | 2-s2.0-85202870558 | URI: | https://enauka.gov.rs/handle/123456789/973056 | Project: | Cantab Capital Institute for the Mathematics of Information via the Philippa Fawcett Internship programme (Faculty of Mathematics, University of Cambridge) | Metadata source: | (Preuzeto iz Nasi u WoS) | M-category: | Mp. category will be shown later |
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