{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,7]],"date-time":"2026-07-07T15:29:30Z","timestamp":1783438170905,"version":"3.54.6"},"reference-count":55,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"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 Trans.Inform.Forensic Secur."],"published-print":{"date-parts":[[2023]]},"DOI":"10.1109\/tifs.2023.3306159","type":"journal-article","created":{"date-parts":[[2023,8,17]],"date-time":"2023-08-17T17:22:12Z","timestamp":1692292932000},"page":"5359-5374","source":"Crossref","is-referenced-by-count":32,"title":["Grafting Laplace and Gaussian Distributions: A New Noise Mechanism for Differential Privacy"],"prefix":"10.1109","volume":"18","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5909-8143","authenticated-orcid":false,"given":"Gokularam","family":"Muthukrishnan","sequence":"first","affiliation":[{"name":"Department of Electrical Engineering, Indian Institute of Technology Madras, Chennai, India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1530-0140","authenticated-orcid":false,"given":"Sheetal","family":"Kalyani","sequence":"additional","affiliation":[{"name":"Department of Electrical Engineering, Indian Institute of Technology Madras, Chennai, India"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1145\/2020408.2020487"},{"key":"ref12","first-page":"2518","article-title":"Private K-means clustering with stability assumptions","author":"shechner","year":"2020","journal-title":"Proc Int Conf Artif Intell and Statist"},{"key":"ref15","year":"2021","journal-title":"Disclosure avoidance for the 2020 census An introduction"},{"key":"ref14","first-page":"1877","article-title":"Private alternating least squares: Practical private matrix completion with tighter rates","author":"chien","year":"2021","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref53","first-page":"14948","article-title":"Differentially private coordinate descent for composite empirical risk minimization","author":"mangold","year":"2022","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1214\/009053604000000067"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/FOCS.2007.66"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4613-8643-8"},{"key":"ref10","first-page":"394","article-title":"Improving the Gaussian mechanism for differential privacy: Analytical calibration and optimal denoising","author":"balle","year":"2018","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.2478\/popets-2019-0029"},{"key":"ref17","first-page":"6270","article-title":"Differential privacy for symmetric log-concave mechanisms","author":"vinterbo","year":"2022","journal-title":"Proc Int Conf Artif Intell and Statist"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2018.2845388"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9780511804441"},{"key":"ref18","first-page":"15676","article-title":"The discrete Gaussian for differential privacy","volume":"33","author":"canonne","year":"2020","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref51","article-title":"Airfoil self-noise and prediction","author":"brooks","year":"1989"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1016\/0095-0696(78)90006-2"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1016\/S0167-7152(96)00140-X"},{"key":"ref45","article-title":"The optimal mechanism in differential privacy: Multidimensional setting","author":"geng","year":"2013","journal-title":"arXiv 1312 0655"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1007\/s10722-021-01226-0"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1016\/j.dss.2009.05.016"},{"key":"ref42","volume":"48","author":"wainwright","year":"2019","journal-title":"High-dimensional statistics A non-asymptotic viewpoint"},{"key":"ref41","volume":"5","author":"landau","year":"2013","journal-title":"Statistical Physics Course of Theoretical Physics"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-99970-3"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1007\/978-0-387-34675-5"},{"key":"ref49","year":"2017","journal-title":"Statlog (Heart)"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1145\/2976749.2978318"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/FOCS.2014.56"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1007\/11761679_29"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.14778\/2350229.2350253"},{"key":"ref3","article-title":"Input perturbation: A new paradigm between central and local differential privacy","author":"kang","year":"2020","journal-title":"arXiv 2002 08570"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/GlobalSIP.2013.6736861"},{"key":"ref5","first-page":"1069","article-title":"Differentially private empirical risk minimization","volume":"12","author":"chaudhuri","year":"2011","journal-title":"J Mach Learn Res"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2014.2316008"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1111\/rssb.12454"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.29012\/jpc.726"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1145\/2591796.2591883"},{"key":"ref36","first-page":"547","article-title":"On measures of entropy and information","volume":"1","author":"r\u00e9nyi","year":"1961","journal-title":"Proc 4th Berkeley Symp Math Statist Probab"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/FOCS.2010.12"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TAC.2013.2283096"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-662-53641-4_24"},{"key":"ref32","article-title":"Concentrated differential privacy","author":"dwork","year":"2016","journal-title":"arXiv 1603 01887"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1007\/11681878_14"},{"key":"ref1","doi-asserted-by":"crossref","first-page":"211","DOI":"10.1561\/0400000042","article-title":"The algorithmic foundations of differential privacy","volume":"9","author":"dwork","year":"2014","journal-title":"Found Trends Theor Comput Sci"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1214\/14-SS107"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1080\/03081088708817789"},{"key":"ref24","first-page":"11","article-title":"Optimal noise-adding mechanism in additive differential privacy","author":"geng","year":"2019","journal-title":"Proc Int Conf Artif Intell Statist"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.2015.2504972"},{"key":"ref26","first-page":"263","article-title":"Rényi differential privacy","author":"mironov","year":"2017","journal-title":"Proc IEEE Symp Foundations of Computer Science"},{"key":"ref25","first-page":"89","article-title":"Tight analysis of privacy and utility tradeoff in approximate differential privacy","author":"geng","year":"2020","journal-title":"Proc Int Conf Artif Intell Statist"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2022.3185770"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/JSTSP.2015.2425831"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.2015.2504967"},{"key":"ref28","author":"hogg","year":"2019","journal-title":"Introduction to Mathematical Statistics"},{"key":"ref27","article-title":"Composition of differential privacy & privacy amplification by subsampling","author":"steinke","year":"2022","journal-title":"arXiv 2210 00597"},{"key":"ref29","doi-asserted-by":"crossref","DOI":"10.1002\/9780470434697","author":"huber","year":"2009","journal-title":"Robust Statistics"}],"container-title":["IEEE Transactions on Information Forensics and Security"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10206\/9970396\/10223238.pdf?arnumber=10223238","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,9,25]],"date-time":"2023-09-25T18:14:39Z","timestamp":1695665679000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10223238\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"references-count":55,"URL":"https:\/\/doi.org\/10.1109\/tifs.2023.3306159","relation":{},"ISSN":["1556-6013","1556-6021"],"issn-type":[{"value":"1556-6013","type":"print"},{"value":"1556-6021","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023]]}}}