{"id":"https://openalex.org/W2859661414","doi":"https://doi.org/10.1145/3221269.3223039","title":"Publishing spatial histograms under differential privacy","display_name":"Publishing spatial histograms under differential privacy","publication_year":2018,"publication_date":"2018-07-09","ids":{"openalex":"https://openalex.org/W2859661414","doi":"https://doi.org/10.1145/3221269.3223039","mag":"2859661414"},"language":"en","primary_location":{"id":"doi:10.1145/3221269.3223039","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3221269.3223039","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 30th International Conference on Scientific and Statistical Database Management","raw_type":"proceedings-article"},"type":"conference-paper","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/A5058158283","display_name":"Soheila Ghane","orcid":"https://orcid.org/0000-0001-7906-6456"},"institutions":[{"id":"https://openalex.org/I165779595","display_name":"The University of Melbourne","ror":"https://ror.org/01ej9dk98","country_code":"AU","type":"education","lineage":["https://openalex.org/I165779595"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Soheila Ghane","raw_affiliation_strings":["The University of Melbourne, Melbourne, VIC"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The University of Melbourne, Melbourne, VIC","institution_ids":["https://openalex.org/I165779595"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102773565","display_name":"Lars Kulik","orcid":"https://orcid.org/0000-0003-3357-736X"},"institutions":[{"id":"https://openalex.org/I165779595","display_name":"The University of Melbourne","ror":"https://ror.org/01ej9dk98","country_code":"AU","type":"education","lineage":["https://openalex.org/I165779595"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Lars Kulik","raw_affiliation_strings":["The University of Melbourne, Melbourne, VIC"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The University of Melbourne, Melbourne, VIC","institution_ids":["https://openalex.org/I165779595"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5069895484","display_name":"Kotagiri Ramamohanarao","orcid":"https://orcid.org/0000-0003-3304-9268"},"institutions":[{"id":"https://openalex.org/I165779595","display_name":"The University of Melbourne","ror":"https://ror.org/01ej9dk98","country_code":"AU","type":"education","lineage":["https://openalex.org/I165779595"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Kotagiri Ramamohanarao","raw_affiliation_strings":["The University of Melbourne, Melbourne, VIC"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The University of Melbourne, Melbourne, VIC","institution_ids":["https://openalex.org/I165779595"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I165779595"],"apc_list":null,"apc_paid":null,"fwci":1.1317,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.83646489,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"12"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9997000098228455,"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":0.9997000098228455,"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/T11106","display_name":"Data Management and Algorithms","score":0.9983000159263611,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9961000084877014,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.8502330780029297},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7448055744171143},{"id":"https://openalex.org/keywords/differential-privacy","display_name":"Differential privacy","score":0.6660069227218628},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.6398716568946838},{"id":"https://openalex.org/keywords/spatial-analysis","display_name":"Spatial analysis","score":0.5879054069519043},{"id":"https://openalex.org/keywords/spatial-database","display_name":"Spatial database","score":0.5577732920646667},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.5577712059020996},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5058991312980652},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.5038606524467468},{"id":"https://openalex.org/keywords/range-query","display_name":"Range query (database)","score":0.4835895895957947},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.4725567698478699},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.46535760164260864},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.30095863342285156},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.27852749824523926},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.23200124502182007},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.20023465156555176},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.0844181478023529},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.08066433668136597}],"concepts":[{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.8502330780029297},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7448055744171143},{"id":"https://openalex.org/C23130292","wikidata":"https://www.wikidata.org/wiki/Q5275358","display_name":"Differential privacy","level":2,"score":0.6660069227218628},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.6398716568946838},{"id":"https://openalex.org/C159620131","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Spatial analysis","level":2,"score":0.5879054069519043},{"id":"https://openalex.org/C203689450","wikidata":"https://www.wikidata.org/wiki/Q2302053","display_name":"Spatial database","level":3,"score":0.5577732920646667},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.5577712059020996},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5058991312980652},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.5038606524467468},{"id":"https://openalex.org/C136736807","wikidata":"https://www.wikidata.org/wiki/Q818943","display_name":"Range query (database)","level":5,"score":0.4835895895957947},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.4725567698478699},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.46535760164260864},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.30095863342285156},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.27852749824523926},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.23200124502182007},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20023465156555176},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0844181478023529},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.08066433668136597},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C192939062","wikidata":"https://www.wikidata.org/wiki/Q104840822","display_name":"Sargable","level":4,"score":0.0},{"id":"https://openalex.org/C164120249","wikidata":"https://www.wikidata.org/wiki/Q995982","display_name":"Web search query","level":3,"score":0.0},{"id":"https://openalex.org/C97854310","wikidata":"https://www.wikidata.org/wiki/Q19541","display_name":"Search engine","level":2,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3221269.3223039","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3221269.3223039","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 30th International Conference on Scientific and Statistical Database Management","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.8299999833106995}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W93792061","https://openalex.org/W1002055276","https://openalex.org/W1520033739","https://openalex.org/W1601184778","https://openalex.org/W1637387994","https://openalex.org/W1873763122","https://openalex.org/W1966862198","https://openalex.org/W1978945372","https://openalex.org/W1985310469","https://openalex.org/W1988580225","https://openalex.org/W1993116423","https://openalex.org/W2019972606","https://openalex.org/W2023578311","https://openalex.org/W2025051251","https://openalex.org/W2080393976","https://openalex.org/W2096870293","https://openalex.org/W2108215372","https://openalex.org/W2112128729","https://openalex.org/W2115240023","https://openalex.org/W2137816999","https://openalex.org/W2142922715","https://openalex.org/W2170204206","https://openalex.org/W2217200224","https://openalex.org/W2245706161","https://openalex.org/W2593227599","https://openalex.org/W2594020291","https://openalex.org/W4299734264"],"related_works":["https://openalex.org/W4380302345","https://openalex.org/W2963132290","https://openalex.org/W1627831611","https://openalex.org/W2393251057","https://openalex.org/W2387583461","https://openalex.org/W2048053751","https://openalex.org/W3194145758","https://openalex.org/W2397478471","https://openalex.org/W2131963830","https://openalex.org/W3010866444"],"abstract_inverted_index":{"Studying":[0],"trajectories":[1,100],"of":[2,12,32,73,101,158,183,215,222,234],"individuals":[3,102],"has":[4,241],"received":[5],"growing":[6],"interest.":[7],"The":[8],"aggregated":[9],"movement":[10],"behaviour":[11],"people":[13],"provides":[14,131],"important":[15],"insights":[16],"about":[17],"their":[18],"habits,":[19],"interests,":[20],"and":[21,24,42,48,61,105,170,179,198,213,237],"lifestyles.":[22],"Understanding":[23],"utilizing":[25],"trajectory":[26,65,78,159,224],"data":[27,125],"is":[28,89,142,165,206],"a":[29,77,80,132,176],"crucial":[30],"part":[31],"many":[33],"applications":[34,57],"such":[35,56],"as":[36,129],"location":[37,74],"based":[38],"services,":[39],"urban":[40],"planning,":[41],"traffic":[43],"monitoring":[44],"systems.":[45],"Spatial":[46],"histograms":[47,111,151],"spatial":[49,68,95,110,150,177,247],"range":[50,96,248],"queries":[51,63],"are":[52,103],"key":[53,119,166],"components":[54],"in":[55,76,93,109,226,244],"to":[58,121,188],"efficiently":[59],"store":[60],"answer":[62],"on":[64,135,152,196],"data.":[66,139],"A":[67,118],"histogram":[69,85,178,185,229],"maintains":[70],"the":[71,99,143,156,181,189,210,216,220,227,232,239],"sequentiality":[72,157],"points":[75],"by":[79],"strong":[81,133,190],"sequential":[82],"dependency":[83,88,191],"among":[84],"cells.":[86],"This":[87],"an":[90,115,136],"essential":[91],"property":[92],"answering":[94,245],"queries.":[97,249],"However,":[98],"unique":[104],"even":[106],"aggregating":[107],"them":[108],"cannot":[112],"completely":[113],"ensure":[114,122],"individual's":[116,137],"privacy.":[117],"technique":[120],"privacy":[123,128,148],"for":[124,149,167],"publishing":[126],"\u03f5-differential":[127,147],"it":[130],"guarantee":[134],"provided":[138],"Our":[140],"work":[141],"first":[144],"that":[145,203],"guarantees":[146],"trajectories,":[153],"while":[154],"ensuring":[155],"data,":[160],"i.e.,":[161],"its":[162],"consistency.":[163],"Consistency":[164],"any":[168],"database":[169],"our":[171],"proposed":[172],"mechanism,":[173],"PriSH,":[174],"synthesizes":[175],"ensures":[180],"consistency":[182],"published":[184],"with":[186,209],"respect":[187],"constraint.":[192],"In":[193],"extensive":[194],"experiments":[195],"real":[197],"synthetic":[199],"datasets,":[200],"we":[201],"show":[202],"(1)":[204],"PriSH":[205],"highly":[207],"scalable":[208],"dataset":[211],"size":[212],"granularity":[214],"space":[217],"decomposition,":[218],"(2)":[219],"distribution":[221,233],"aggregate":[223],"information":[225],"synthesized":[228],"accurately":[230],"preserves":[231],"original":[235],"histogram,":[236],"(3)":[238],"output":[240],"high":[242],"accuracy":[243],"arbitrary":[246]},"counts_by_year":[{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":4}],"updated_date":"2026-07-30T17:31:21.811387","created_date":"2025-10-10T00:00:00"}
