{"id":"https://openalex.org/W2060041315","doi":"https://doi.org/10.1145/2723372.2747643","title":"Bayesian Differential Privacy on Correlated Data","display_name":"Bayesian Differential Privacy on Correlated Data","publication_year":2015,"publication_date":"2015-05-27","ids":{"openalex":"https://openalex.org/W2060041315","doi":"https://doi.org/10.1145/2723372.2747643","mag":"2060041315"},"language":"en","primary_location":{"id":"doi:10.1145/2723372.2747643","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2723372.2747643","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5072309548","display_name":"Bin Yang","orcid":"https://orcid.org/0000-0002-1658-1079"},"institutions":[{"id":"https://openalex.org/I1301041018","display_name":"Rakuten (Japan)","ror":"https://ror.org/0098kke80","country_code":"JP","type":"company","lineage":["https://openalex.org/I1301041018"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Bin Yang","raw_affiliation_strings":["Rakuten Inc., Tokyo, Japan","Rakuten Inc., Tokyo, Japan#TAB#"],"affiliations":[{"raw_affiliation_string":"Rakuten Inc., Tokyo, Japan","institution_ids":["https://openalex.org/I1301041018"]},{"raw_affiliation_string":"Rakuten Inc., Tokyo, Japan#TAB#","institution_ids":["https://openalex.org/I1301041018"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060421432","display_name":"Issei Sato","orcid":"https://orcid.org/0000-0002-5066-1435"},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Issei Sato","raw_affiliation_strings":["The University of Tokyo, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"The University of Tokyo, Tokyo, Japan","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5020912760","display_name":"Hiroshi Nakagawa","orcid":"https://orcid.org/0000-0002-3024-9136"},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hiroshi Nakagawa","raw_affiliation_strings":["The University of Tokyo, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"The University of Tokyo, Tokyo, Japan","institution_ids":["https://openalex.org/I74801974"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5072309548"],"corresponding_institution_ids":["https://openalex.org/I1301041018"],"apc_list":null,"apc_paid":null,"fwci":17.8038,"has_fulltext":false,"cited_by_count":174,"citation_normalized_percentile":{"value":0.99189041,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"747","last_page":"762"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10237","display_name":"Cryptography and Data Security","score":0.9926000237464905,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10761","display_name":"Vehicular Ad Hoc Networks (VANETs)","score":0.9918000102043152,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/differential-privacy","display_name":"Differential privacy","score":0.9759351015090942},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7225109338760376},{"id":"https://openalex.org/keywords/privacy-software","display_name":"Privacy software","score":0.5290980339050293},{"id":"https://openalex.org/keywords/information-privacy","display_name":"Information privacy","score":0.5144670009613037},{"id":"https://openalex.org/keywords/privacy-protection","display_name":"Privacy protection","score":0.4962537884712219},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.3772912621498108},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.33830147981643677}],"concepts":[{"id":"https://openalex.org/C23130292","wikidata":"https://www.wikidata.org/wiki/Q5275358","display_name":"Differential privacy","level":2,"score":0.9759351015090942},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7225109338760376},{"id":"https://openalex.org/C509729295","wikidata":"https://www.wikidata.org/wiki/Q7246032","display_name":"Privacy software","level":3,"score":0.5290980339050293},{"id":"https://openalex.org/C123201435","wikidata":"https://www.wikidata.org/wiki/Q456632","display_name":"Information privacy","level":2,"score":0.5144670009613037},{"id":"https://openalex.org/C3017597292","wikidata":"https://www.wikidata.org/wiki/Q25052250","display_name":"Privacy protection","level":2,"score":0.4962537884712219},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.3772912621498108},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.33830147981643677}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2723372.2747643","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2723372.2747643","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/1","score":0.6499999761581421,"display_name":"No poverty"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W44899178","https://openalex.org/W1493407996","https://openalex.org/W1526797722","https://openalex.org/W1567885833","https://openalex.org/W1873763122","https://openalex.org/W2010523825","https://openalex.org/W2030559796","https://openalex.org/W2033092546","https://openalex.org/W2052747341","https://openalex.org/W2054922243","https://openalex.org/W2101771965","https://openalex.org/W2110868467","https://openalex.org/W2112340163","https://openalex.org/W2115209166","https://openalex.org/W2130099852","https://openalex.org/W2136661217","https://openalex.org/W2150611147","https://openalex.org/W2154086287","https://openalex.org/W2160113380","https://openalex.org/W2164662623","https://openalex.org/W2165157425","https://openalex.org/W2169570643","https://openalex.org/W2293654645","https://openalex.org/W2293774960","https://openalex.org/W2755088640","https://openalex.org/W3102994281"],"related_works":["https://openalex.org/W3022534164","https://openalex.org/W3015944045","https://openalex.org/W3013058036","https://openalex.org/W4225340788","https://openalex.org/W2086129702","https://openalex.org/W1591172238","https://openalex.org/W2951971312","https://openalex.org/W2972172135","https://openalex.org/W4300474583","https://openalex.org/W2800932586"],"abstract_inverted_index":{"Differential":[0],"privacy":[1,9,20,40,50,54],"provides":[2],"a":[3,22,34],"rigorous":[4],"standard":[5],"for":[6],"evaluating":[7],"the":[8,59],"of":[10],"perturbation":[11],"algorithms.":[12],"It":[13],"has":[14],"widely":[15],"been":[16],"regarded":[17],"that":[18,25,48],"differential":[19,49],"is":[21],"universal":[23],"definition":[24],"deals":[26],"with":[27],"both":[28],"independent":[29],"and":[30,33],"correlated":[31],"data":[32,60],"differentially":[35],"private":[36],"algorithm":[37],"can":[38],"protect":[39],"against":[41,55],"arbitrary":[42,56],"adversaries.":[43],"However,":[44],"recent":[45],"research":[46],"indicates":[47],"may":[51],"not":[52],"guarantee":[53],"adversaries":[57],"if":[58],"are":[61],"correlated.":[62]},"counts_by_year":[{"year":2025,"cited_by_count":11},{"year":2024,"cited_by_count":16},{"year":2023,"cited_by_count":17},{"year":2022,"cited_by_count":18},{"year":2021,"cited_by_count":20},{"year":2020,"cited_by_count":30},{"year":2019,"cited_by_count":22},{"year":2018,"cited_by_count":15},{"year":2017,"cited_by_count":16},{"year":2016,"cited_by_count":8},{"year":2015,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
