{"id":"https://openalex.org/W4389315099","doi":"https://doi.org/10.14778/3625054.3625055","title":"Doquet: Differentially Oblivious Range and Join Queries with Private Data Structures","display_name":"Doquet: Differentially Oblivious Range and Join Queries with Private Data Structures","publication_year":2023,"publication_date":"2023-09-01","ids":{"openalex":"https://openalex.org/W4389315099","doi":"https://doi.org/10.14778/3625054.3625055"},"language":"en","primary_location":{"id":"doi:10.14778/3625054.3625055","is_oa":false,"landing_page_url":"https://doi.org/10.14778/3625054.3625055","pdf_url":null,"source":{"id":"https://openalex.org/S4210226185","display_name":"Proceedings of the VLDB Endowment","issn_l":"2150-8097","issn":["2150-8097"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the VLDB Endowment","raw_type":"journal-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/A5013439413","display_name":"Lina Qiu","orcid":"https://orcid.org/0000-0002-0304-8048"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Lina Qiu","raw_affiliation_strings":["Boston University"],"affiliations":[{"raw_affiliation_string":"Boston University","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064604690","display_name":"Georgios Kellaris","orcid":"https://orcid.org/0000-0001-7558-5398"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Georgios Kellaris","raw_affiliation_strings":["Lerna AI"],"affiliations":[{"raw_affiliation_string":"Lerna AI","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045731304","display_name":"Nikos Mamoulis","orcid":null},"institutions":[{"id":"https://openalex.org/I194019607","display_name":"University of Ioannina","ror":"https://ror.org/01qg3j183","country_code":"GR","type":"education","lineage":["https://openalex.org/I194019607"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Nikos Mamoulis","raw_affiliation_strings":["University of Ioannina"],"affiliations":[{"raw_affiliation_string":"University of Ioannina","institution_ids":["https://openalex.org/I194019607"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066000219","display_name":"Kobbi Nissim","orcid":"https://orcid.org/0000-0002-6632-8645"},"institutions":[{"id":"https://openalex.org/I184565670","display_name":"Georgetown University","ror":"https://ror.org/05vzafd60","country_code":"US","type":"education","lineage":["https://openalex.org/I184565670"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kobbi Nissim","raw_affiliation_strings":["Georgetown University"],"affiliations":[{"raw_affiliation_string":"Georgetown University","institution_ids":["https://openalex.org/I184565670"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061270013","display_name":"George Kollios","orcid":"https://orcid.org/0009-0004-1837-8498"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"George Kollios","raw_affiliation_strings":["Boston University"],"affiliations":[{"raw_affiliation_string":"Boston University","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5013439413"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.9231,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.89009261,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"16","issue":"13","first_page":"4160","last_page":"4173"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10237","display_name":"Cryptography and Data Security","score":0.9998999834060669,"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/T10237","display_name":"Cryptography and Data Security","score":0.9998999834060669,"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/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9993000030517578,"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/T10270","display_name":"Blockchain Technology Applications and Security","score":0.9962000250816345,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8307850956916809},{"id":"https://openalex.org/keywords/differential-privacy","display_name":"Differential privacy","score":0.7679536938667297},{"id":"https://openalex.org/keywords/overhead","display_name":"Overhead (engineering)","score":0.6467016339302063},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.6131272912025452},{"id":"https://openalex.org/keywords/service-provider","display_name":"Service provider","score":0.5275309085845947},{"id":"https://openalex.org/keywords/join","display_name":"Join (topology)","score":0.5236089825630188},{"id":"https://openalex.org/keywords/server","display_name":"Server","score":0.49688270688056946},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.4207859933376312},{"id":"https://openalex.org/keywords/information-sensitivity","display_name":"Information sensitivity","score":0.4108029305934906},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.37525004148483276},{"id":"https://openalex.org/keywords/service","display_name":"Service (business)","score":0.2910420894622803},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.2665964365005493},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.18386825919151306},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.10042133927345276}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8307850956916809},{"id":"https://openalex.org/C23130292","wikidata":"https://www.wikidata.org/wiki/Q5275358","display_name":"Differential privacy","level":2,"score":0.7679536938667297},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.6467016339302063},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.6131272912025452},{"id":"https://openalex.org/C116537","wikidata":"https://www.wikidata.org/wiki/Q2169973","display_name":"Service provider","level":3,"score":0.5275309085845947},{"id":"https://openalex.org/C2776124973","wikidata":"https://www.wikidata.org/wiki/Q3183033","display_name":"Join (topology)","level":2,"score":0.5236089825630188},{"id":"https://openalex.org/C93996380","wikidata":"https://www.wikidata.org/wiki/Q44127","display_name":"Server","level":2,"score":0.49688270688056946},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.4207859933376312},{"id":"https://openalex.org/C137822555","wikidata":"https://www.wikidata.org/wiki/Q2587068","display_name":"Information sensitivity","level":2,"score":0.4108029305934906},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.37525004148483276},{"id":"https://openalex.org/C2780378061","wikidata":"https://www.wikidata.org/wiki/Q25351891","display_name":"Service (business)","level":2,"score":0.2910420894622803},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.2665964365005493},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.18386825919151306},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.10042133927345276},{"id":"https://openalex.org/C136264566","wikidata":"https://www.wikidata.org/wiki/Q159810","display_name":"Economy","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.14778/3625054.3625055","is_oa":false,"landing_page_url":"https://doi.org/10.14778/3625054.3625055","pdf_url":null,"source":{"id":"https://openalex.org/S4210226185","display_name":"Proceedings of the VLDB Endowment","issn_l":"2150-8097","issn":["2150-8097"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the VLDB Endowment","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W95608104","https://openalex.org/W1569778844","https://openalex.org/W1981932091","https://openalex.org/W1988374166","https://openalex.org/W2005756274","https://openalex.org/W2076458424","https://openalex.org/W2141389982","https://openalex.org/W2150620897","https://openalex.org/W2167372639","https://openalex.org/W2236011587","https://openalex.org/W2249233550","https://openalex.org/W2293128137","https://openalex.org/W2532292902","https://openalex.org/W2594560662","https://openalex.org/W2615738497","https://openalex.org/W2616901112","https://openalex.org/W2793957616","https://openalex.org/W2794508460","https://openalex.org/W2795193970","https://openalex.org/W2809996417","https://openalex.org/W2891392853","https://openalex.org/W2911978475","https://openalex.org/W2914612129","https://openalex.org/W2915016908","https://openalex.org/W2950330052","https://openalex.org/W2962880607","https://openalex.org/W2982401473","https://openalex.org/W3012623189","https://openalex.org/W3021475380","https://openalex.org/W3082779563","https://openalex.org/W3122422767","https://openalex.org/W3128145396","https://openalex.org/W4200186003","https://openalex.org/W4205228770","https://openalex.org/W4236786653","https://openalex.org/W4236940322","https://openalex.org/W4281773245","https://openalex.org/W4289038676","https://openalex.org/W4321448320"],"related_works":["https://openalex.org/W2019704260","https://openalex.org/W4304208041","https://openalex.org/W3010824232","https://openalex.org/W4212899026","https://openalex.org/W4390570329","https://openalex.org/W2795052735","https://openalex.org/W2758544064","https://openalex.org/W2603823019","https://openalex.org/W3081971900","https://openalex.org/W4286750579"],"abstract_inverted_index":{"Most":[0],"cloud":[1,51],"service":[2],"providers":[3,20],"offer":[4],"limited":[5],"data":[6,65,152],"privacy":[7,93,116],"guarantees,":[8],"discouraging":[9],"clients":[10],"from":[11],"using":[12],"them":[13,74],"for":[14,117,139],"managing":[15],"their":[16,69,162],"sensitive":[17,55],"data.":[18],"Cloud":[19],"may":[21,39],"use":[22],"servers":[23],"with":[24,131,228],"Trusted":[25],"Execution":[26],"Environments":[27],"(TEEs)":[28],"to":[29,53,62,174,220],"protect":[30],"outsourced":[31,141],"data,":[32],"while":[33,98],"supporting":[34],"remote":[35],"querying.":[36],"However,":[37],"TEEs":[38],"leak":[40],"access":[41,66,96],"patterns":[42,97],"and":[43,105,127,161,199,232],"allow":[44],"communication":[45,101],"volume":[46,102],"attacks,":[47],"enabling":[48],"an":[49,221],"honest-but-curious":[50],"provider":[52],"learn":[54],"information.":[56],"Oblivious":[57],"algorithms":[58,189],"can":[59,178],"be":[60,179],"used":[61],"completely":[63],"hide":[64],"patterns,":[67],"but":[68],"high":[70],"overhead":[71],"could":[72],"render":[73],"impractical.":[75],"To":[76],"alleviate":[77],"the":[78,80,100,146,172,175,183,188,213],"latter,":[79],"notion":[81],"of":[82,103,115,209,223],"Differential":[83],"Obliviousness":[84],"(DO)":[85],"has":[86],"been":[87],"recently":[88],"proposed.":[89],"DO":[90,140],"applies":[91],"differential":[92,193],"(DP)":[94],"on":[95,181,202],"hiding":[99],"intermediate":[104],"final":[106],"results;":[107],"it":[108,201],"does":[109],"so":[110],"by":[111,182],"trading":[112],"some":[113],"level":[114],"efficiency.":[118],"We":[119,185],"present":[120],"Doquet:":[121],"D":[122],"ifferentially":[123],"O":[124],"blivious":[125],"Range":[126],"Join":[128],"Que":[129],"ries":[130],"Private":[132],"Data":[133],"Struc":[134],"t":[135],"ures,":[136],"a":[137,166,203,206],"framework":[138],"database":[142],"systems.":[143],"Doquet":[144,191,198,217],"is":[145],"first":[147],"approach":[148],"that":[149,187,216],"supports":[150],"private":[151,176],"structures,":[153],"indices,":[154],"selection,":[155],"foreign":[156],"key":[157],"join,":[158,160],"many-to-many":[159],"composition":[163],"select-join":[164],"in":[165,190,226],"realistic":[167],"TEE":[168],"setting,":[169],"even":[170],"when":[171],"accesses":[173],"memory":[177],"eavesdropped":[180],"adversary.":[184],"prove":[186],"satisfy":[192],"obliviousness.":[194],"Furthermore,":[195],"we":[196],"implemented":[197],"tested":[200],"machine":[204],"having":[205],"second":[207],"generation":[208],"Intel":[210],"SGX":[211],"(TEE);":[212],"results":[214],"show":[215],"offers":[218],"up":[219],"order":[222],"magnitude":[224],"speedup":[225],"comparison":[227],"other":[229],"fully":[230],"oblivious":[231,234],"differentially":[233],"approaches.":[235]},"counts_by_year":[{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
