{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,3]],"date-time":"2026-07-03T11:42:07Z","timestamp":1783078927969,"version":"3.54.6"},"reference-count":19,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"3","license":[{"start":{"date-parts":[[2024,5,1]],"date-time":"2024-05-01T00:00:00Z","timestamp":1714521600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2024,5,1]],"date-time":"2024-05-01T00:00:00Z","timestamp":1714521600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,5,1]],"date-time":"2024-05-01T00:00:00Z","timestamp":1714521600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Secur. Privacy"],"published-print":{"date-parts":[[2024,5]]},"DOI":"10.1109\/msec.2024.3371505","type":"journal-article","created":{"date-parts":[[2024,3,12]],"date-time":"2024-03-12T18:55:42Z","timestamp":1710269742000},"page":"62-67","source":"Crossref","is-referenced-by-count":7,"title":["Synthetic Data: Methods, Use Cases, and Risks"],"prefix":"10.1109","volume":"22","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7097-6346","authenticated-orcid":false,"given":"Emiliano","family":"De Cristofaro","sequence":"first","affiliation":[{"name":"Department of Computer Science and Engineering, University of California, Riverside, Riverside, CA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/sp.2009.22"},{"key":"ref2","volume-title":"On location, time, and membership: Studying how aggregate location data can harm users privacy","year":"2024"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.14722\/ndss.2018.23183"},{"key":"ref4","article-title":"Differential privacy: A primer for a non-technical audience","volume-title":"Proc. Privacy Law Scholars Conf.","author":"Nissim","year":"2017"},{"key":"ref5","volume-title":"Deep generative models are privacy regularisers","author":"Snow","year":"2024"},{"key":"ref6","first-page":"56","article-title":"Generative adversarial nets","volume-title":"Proc. Neural Inf. Process. Syst. (NIPS)","volume":"27","author":"Goodfellow","year":"2014"},{"key":"ref7","author":"Karras","year":"2017","journal-title":"Progressive growing of GANs for improved quality, stability, and variation"},{"key":"ref8","volume-title":"Synthetic training data for improving fraud and anomaly AIs performance","year":"2024"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1038\/s41746-020-00353-9"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1145\/3374664.3375722"},{"key":"ref11","first-page":"1451","article-title":"Synthetic dataanonymisation groundhog day","volume-title":"Proc. 31st USENIX Secur. Symp.","author":"Stadler","year":"2022"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.jbi.2021.103977"},{"key":"ref13","author":"Papernot","year":"2018","journal-title":"Scalable private learning with PATE"},{"key":"ref14","author":"Xie","year":"2018","journal-title":"Differentially private generative adversarial network"},{"key":"ref15","volume-title":"Differential privacy synthetic data generation using WGANs","author":"Alzantot","year":"2024"},{"key":"ref16","author":"Li","year":"2021","journal-title":"DPSyn: Experiences in the NIST differential privacy data synthesis challenges"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1145\/3134428"},{"key":"ref18","article-title":"PATE-GAN: Generating synthetic data with differential privacy guarantees","volume-title":"Proc. Int. Conf. Learn. Representations (ICLR)","author":"Jordon","year":"2018"},{"key":"ref19","volume-title":"Opinion 5\/2018-preliminary opinion on privacy by design","year":"2018"}],"container-title":["IEEE Security &amp; Privacy"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8013\/10533717\/10466792.pdf?arnumber=10466792","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,5,20]],"date-time":"2024-05-20T17:36:33Z","timestamp":1716226593000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10466792\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,5]]},"references-count":19,"journal-issue":{"issue":"3"},"URL":"https:\/\/doi.org\/10.1109\/msec.2024.3371505","relation":{},"ISSN":["1540-7993","1558-4046"],"issn-type":[{"value":"1540-7993","type":"print"},{"value":"1558-4046","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,5]]}}}