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We also identify the relationship between privacy impact for the complete ground truth data and incomplete data for these DP synthetic data generation algorithms. We model the missing mechanisms as a sampling process to obtain tighter upper bounds for the privacy guarantees to the ground truth data. Overall, this study contributes to a better understanding of the challenges and opportunities for using private synthetic data generation algorithms in the presence of missing data.<\/jats:p>","DOI":"10.14778\/3659437.3659455","type":"journal-article","created":{"date-parts":[[2024,5,31]],"date-time":"2024-05-31T16:22:27Z","timestamp":1717172547000},"page":"2022-2035","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":3,"title":["Differentially Private Data Generation with Missing Data"],"prefix":"10.14778","volume":"17","author":[{"given":"Shubhankar","family":"Mohapatra","sequence":"first","affiliation":[{"name":"University of Waterloo"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jianqiao","family":"Zong","sequence":"additional","affiliation":[{"name":"University of Waterloo"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Florian","family":"Kerschbaum","sequence":"additional","affiliation":[{"name":"University of Waterloo"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xi","family":"He","sequence":"additional","affiliation":[{"name":"University of Waterloo"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2024,5,31]]},"reference":[{"key":"e_1_2_1_1_1","unstructured":"2016-04-27. 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