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We also provide analytic expressions to bound per-query error with high probability which can be used to construct confidence intervals and inform users about the accuracy of generated data. We show empirically that AIM consistently outperforms a wide variety of existing mechanisms across a variety of experimental settings.<\/jats:p>","DOI":"10.14778\/3551793.3551817","type":"journal-article","created":{"date-parts":[[2022,9,29]],"date-time":"2022-09-29T22:25:03Z","timestamp":1664490303000},"page":"2599-2612","source":"Crossref","is-referenced-by-count":43,"title":["AIM"],"prefix":"10.14778","volume":"15","author":[{"given":"Ryan","family":"McKenna","sequence":"first","affiliation":[{"name":"University of Massachusetts, Amherst, Massachusetts"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Brett","family":"Mullins","sequence":"additional","affiliation":[{"name":"University of Massachusetts, Amherst, Massachusetts"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Daniel","family":"Sheldon","sequence":"additional","affiliation":[{"name":"University of Massachusetts, Amherst, Massachusetts"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Gerome","family":"Miklau","sequence":"additional","affiliation":[{"name":"University of Massachusetts, Amherst, Massachusetts"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2022,9,29]]},"reference":[{"key":"e_1_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-10925-7_31"},{"key":"e_1_2_1_2_1","volume-title":"Differentially Private Release of High-Dimensional Datasets using the Gaussian Copula. 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