{"id":"https://openalex.org/W4398161379","doi":"https://doi.org/10.1145/3605098.3636070","title":"DiApprox: Differential Privacy-based Online Range Queries Approximation for Multidimensional Data","display_name":"DiApprox: Differential Privacy-based Online Range Queries Approximation for Multidimensional Data","publication_year":2024,"publication_date":"2024-04-08","ids":{"openalex":"https://openalex.org/W4398161379","doi":"https://doi.org/10.1145/3605098.3636070"},"language":"en","primary_location":{"id":"doi:10.1145/3605098.3636070","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3605098.3636070","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 39th ACM/SIGAPP Symposium on Applied Computing","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/A5034449286","display_name":"Ala Eddine Laouir","orcid":"https://orcid.org/0009-0002-1103-0312"},"institutions":[{"id":"https://openalex.org/I90183372","display_name":"Universit\u00e9 de Lorraine","ror":"https://ror.org/04vfs2w97","country_code":"FR","type":"education","lineage":["https://openalex.org/I90183372"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Ala eddine Laouir","raw_affiliation_strings":["Universit\u00e9 de Lorraine, Nancy, France"],"raw_orcid":"https://orcid.org/0009-0002-1103-0312","affiliations":[{"raw_affiliation_string":"Universit\u00e9 de Lorraine, Nancy, France","institution_ids":["https://openalex.org/I90183372"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082464674","display_name":"Abdessamad Imine","orcid":"https://orcid.org/0000-0002-4496-0340"},"institutions":[{"id":"https://openalex.org/I90183372","display_name":"Universit\u00e9 de Lorraine","ror":"https://ror.org/04vfs2w97","country_code":"FR","type":"education","lineage":["https://openalex.org/I90183372"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Abdessamad Imine","raw_affiliation_strings":["Universit\u00e9 de Lorraine, Nancy, France"],"raw_orcid":"https://orcid.org/0000-0002-4496-0340","affiliations":[{"raw_affiliation_string":"Universit\u00e9 de Lorraine, Nancy, France","institution_ids":["https://openalex.org/I90183372"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5034449286"],"corresponding_institution_ids":["https://openalex.org/I90183372"],"apc_list":null,"apc_paid":null,"fwci":0.324,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.61986853,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"337","last_page":"344"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9998999834060669,"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/T10764","display_name":"Privacy-Preserving Technologies in Data","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/T11106","display_name":"Data Management and Algorithms","score":0.9941999912261963,"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/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9879999756813049,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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/differential-privacy","display_name":"Differential privacy","score":0.9587247967720032},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.880151629447937},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.5587888360023499},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.5219944715499878},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4715832769870758},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.46050000190734863},{"id":"https://openalex.org/keywords/information-privacy","display_name":"Information privacy","score":0.4297434687614441},{"id":"https://openalex.org/keywords/range-query","display_name":"Range query (database)","score":0.4179578125476837},{"id":"https://openalex.org/keywords/analytics","display_name":"Analytics","score":0.41655001044273376},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.335407018661499},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.2755182683467865},{"id":"https://openalex.org/keywords/web-search-query","display_name":"Web search query","score":0.1685800552368164},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.16025769710540771},{"id":"https://openalex.org/keywords/search-engine","display_name":"Search engine","score":0.15853863954544067},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.11328551173210144},{"id":"https://openalex.org/keywords/sargable","display_name":"Sargable","score":0.09144935011863708}],"concepts":[{"id":"https://openalex.org/C23130292","wikidata":"https://www.wikidata.org/wiki/Q5275358","display_name":"Differential privacy","level":2,"score":0.9587247967720032},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.880151629447937},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.5587888360023499},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.5219944715499878},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4715832769870758},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.46050000190734863},{"id":"https://openalex.org/C123201435","wikidata":"https://www.wikidata.org/wiki/Q456632","display_name":"Information privacy","level":2,"score":0.4297434687614441},{"id":"https://openalex.org/C136736807","wikidata":"https://www.wikidata.org/wiki/Q818943","display_name":"Range query (database)","level":5,"score":0.4179578125476837},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.41655001044273376},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.335407018661499},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.2755182683467865},{"id":"https://openalex.org/C164120249","wikidata":"https://www.wikidata.org/wiki/Q995982","display_name":"Web search query","level":3,"score":0.1685800552368164},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.16025769710540771},{"id":"https://openalex.org/C97854310","wikidata":"https://www.wikidata.org/wiki/Q19541","display_name":"Search engine","level":2,"score":0.15853863954544067},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.11328551173210144},{"id":"https://openalex.org/C192939062","wikidata":"https://www.wikidata.org/wiki/Q104840822","display_name":"Sargable","level":4,"score":0.09144935011863708},{"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/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3605098.3636070","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3605098.3636070","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 39th ACM/SIGAPP Symposium on Applied Computing","raw_type":"proceedings-article"},{"id":"pmh:oai:HAL:hal-04793590v1","is_oa":false,"landing_page_url":"https://hal.science/hal-04793590","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"SAC '24: 39th ACM/SIGAPP Symposium on Applied Computing, Apr 2024, Avila, Spain. pp.337-344, ⟨10.1145/3605098.3636070⟩","raw_type":"Conference papers"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W934716473","https://openalex.org/W1493915708","https://openalex.org/W1981029888","https://openalex.org/W2041912938","https://openalex.org/W2042558865","https://openalex.org/W2064777887","https://openalex.org/W2066179253","https://openalex.org/W2066293100","https://openalex.org/W2071989194","https://openalex.org/W2106834095","https://openalex.org/W2150915951","https://openalex.org/W2152029707","https://openalex.org/W2421547754","https://openalex.org/W2578054369","https://openalex.org/W2761138375","https://openalex.org/W2793901329","https://openalex.org/W2884738118","https://openalex.org/W2915978573","https://openalex.org/W2948055046","https://openalex.org/W2970408474","https://openalex.org/W2998032620","https://openalex.org/W3084763998","https://openalex.org/W4242587584","https://openalex.org/W4248861293","https://openalex.org/W4377079798","https://openalex.org/W6824583106"],"related_works":["https://openalex.org/W3038283795","https://openalex.org/W2604501336","https://openalex.org/W2558166297","https://openalex.org/W2734500670","https://openalex.org/W2315671126","https://openalex.org/W4391095118","https://openalex.org/W3211363117","https://openalex.org/W2963132290","https://openalex.org/W2549301014","https://openalex.org/W3205933106"],"abstract_inverted_index":{"With":[0],"the":[1,10,83,113,120,126,135],"increasing":[2],"use":[3],"of":[4,85,115],"software":[5],"services":[6],"in":[7,90,131],"daily":[8],"life,":[9],"data":[11,23,28,92,136],"collected":[12],"by":[13,73],"service":[14],"providers":[15],"is":[16,50,68,145],"massive":[17],"and":[18,33,40,64,88,118,128],"sensitive.":[19],"Although":[20],"current":[21],"big":[22],"analytics":[24],"frameworks":[25],"provide":[26],"enormous":[27],"processing":[29],"capacity,":[30],"obtaining":[31],"appropriate":[32],"private":[34,100],"responses":[35],"to":[36,76,111,122,133,147],"large-scale":[37],"queries":[38,117],"quickly":[39],"without":[41],"revealing":[42],"sensitive":[43],"information":[44],"remains":[45],"a":[46],"challenging":[47],"problem.":[48],"It":[49],"clear":[51],"that":[52,143],"Approximate":[53],"Query":[54],"Processing":[55],"(AQP)":[56],"achieves":[57],"faster":[58,156],"execution":[59,114],"with":[60,160],"reasonable":[61],"accuracy":[62],"loss":[63],"Differential":[65],"Privacy":[66],"(DP)":[67],"popular":[69],"for":[70],"enforcing":[71],"privacy":[72],"noising":[74],"answers":[75],"queries.":[77,96],"In":[78],"this":[79],"paper,":[80],"we":[81,141],"address":[82],"problem":[84],"combining":[86],"AQP":[87],"DP":[89],"multidimensional":[91],"based":[93],"on":[94,150],"range":[95,116],"We":[97],"present":[98],"our":[99],"approximation":[101],"system":[102],"called":[103],"DiApprox":[104,144],"which":[105],"takes":[106],"into":[107,125],"account":[108],"online":[109],"sampling":[110],"accelerate":[112],"minimizes":[119],"noise":[121],"be":[123],"injected":[124],"samples":[127],"query":[129],"results":[130],"order":[132],"preserve":[134],"privacy.":[137],"Through":[138],"empirical":[139],"evaluation,":[140],"show":[142],"able":[146],"approximate":[148],"aggregation":[149],"large":[151],"datasets":[152],"over":[153],"\u00d721":[154],"times":[155],"than":[157],"exact":[158],"execution,":[159],"high":[161],"accuracy.":[162]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-05-07T13:39:58.223016","created_date":"2025-10-10T00:00:00"}