Results
| Naziv: | Differentially Private Synthetic Data with Private Density Estimation | Autori: | Bojkovic, Nikolija; Loh, Po Ling | Godina: | 2024 | Publikacija: | 2024 IEEE INTERNATIONAL SYMPOSIUM ON INFORMATION THEORY, ISIT 2024 | ISSN: | 2157-8095![]() Pretraži identifikator |
Tip rezultata: | Konferencijski rad | Kolacija: | 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 | Projekat: | Cantab Capital Institute for the Mathematics of Information via the Philippa Fawcett Internship programme (Faculty of Mathematics, University of Cambridge) | Izvor metapodataka: | (Preuzeto iz Nasi u WoS) | M-kategorija: | Mp kategorija će biti prikazana naknadno. |
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