{"id":"https://openalex.org/W2969922074","doi":"https://doi.org/10.1109/cns.2019.8802778","title":"Supporting Both Range Queries and Frequency Estimation with Local Differential Privacy","display_name":"Supporting Both Range Queries and Frequency Estimation with Local Differential Privacy","publication_year":2019,"publication_date":"2019-06-01","ids":{"openalex":"https://openalex.org/W2969922074","doi":"https://doi.org/10.1109/cns.2019.8802778","mag":"2969922074"},"language":"en","primary_location":{"id":"doi:10.1109/cns.2019.8802778","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cns.2019.8802778","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE Conference on Communications and Network Security (CNS)","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/A5009079566","display_name":"Xiaolan Gu","orcid":null},"institutions":[{"id":"https://openalex.org/I138006243","display_name":"University of Arizona","ror":"https://ror.org/03m2x1q45","country_code":"US","type":"education","lineage":["https://openalex.org/I138006243"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Xiaolan Gu","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Arizona, Tucson, AZ, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Arizona, Tucson, AZ, USA","institution_ids":["https://openalex.org/I138006243"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100351421","display_name":"Ming Li","orcid":"https://orcid.org/0000-0002-4073-0273"},"institutions":[{"id":"https://openalex.org/I138006243","display_name":"University of Arizona","ror":"https://ror.org/03m2x1q45","country_code":"US","type":"education","lineage":["https://openalex.org/I138006243"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ming Li","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Arizona, Tucson, AZ, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Arizona, Tucson, AZ, USA","institution_ids":["https://openalex.org/I138006243"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082946615","display_name":"Yang Cao","orcid":"https://orcid.org/0000-0002-6424-8633"},"institutions":[{"id":"https://openalex.org/I22299242","display_name":"Kyoto University","ror":"https://ror.org/02kpeqv85","country_code":"JP","type":"education","lineage":["https://openalex.org/I22299242"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yang Cao","raw_affiliation_strings":["Department of Social Informatics, Kyoto University, Kyoto, Japan"],"affiliations":[{"raw_affiliation_string":"Department of Social Informatics, Kyoto University, Kyoto, Japan","institution_ids":["https://openalex.org/I22299242"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078394535","display_name":"Li Xiong","orcid":"https://orcid.org/0000-0001-7354-0428"},"institutions":[{"id":"https://openalex.org/I150468666","display_name":"Emory University","ror":"https://ror.org/03czfpz43","country_code":"US","type":"education","lineage":["https://openalex.org/I150468666"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Li Xiong","raw_affiliation_strings":["Department of Computer Science, Emory University, Atlanta, GA, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Emory University, Atlanta, GA, USA","institution_ids":["https://openalex.org/I150468666"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5009079566"],"corresponding_institution_ids":["https://openalex.org/I138006243"],"apc_list":null,"apc_paid":null,"fwci":4.0604,"has_fulltext":false,"cited_by_count":38,"citation_normalized_percentile":{"value":0.95169952,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"124","last_page":"132"},"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/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9927999973297119,"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"}},{"id":"https://openalex.org/T10761","display_name":"Vehicular Ad Hoc Networks (VANETs)","score":0.9825999736785889,"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":0.906139612197876},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8292120695114136},{"id":"https://openalex.org/keywords/correctness","display_name":"Correctness","score":0.6989247798919678},{"id":"https://openalex.org/keywords/range-query","display_name":"Range query (database)","score":0.5316722393035889},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.5240228772163391},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5167562365531921},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.4709015190601349},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.4368535876274109},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2973746955394745},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.2634720206260681},{"id":"https://openalex.org/keywords/search-engine","display_name":"Search engine","score":0.20290616154670715},{"id":"https://openalex.org/keywords/web-search-query","display_name":"Web search query","score":0.17288130521774292},{"id":"https://openalex.org/keywords/query-by-example","display_name":"Query by Example","score":0.11104142665863037}],"concepts":[{"id":"https://openalex.org/C23130292","wikidata":"https://www.wikidata.org/wiki/Q5275358","display_name":"Differential privacy","level":2,"score":0.906139612197876},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8292120695114136},{"id":"https://openalex.org/C55439883","wikidata":"https://www.wikidata.org/wiki/Q360812","display_name":"Correctness","level":2,"score":0.6989247798919678},{"id":"https://openalex.org/C136736807","wikidata":"https://www.wikidata.org/wiki/Q818943","display_name":"Range query (database)","level":5,"score":0.5316722393035889},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.5240228772163391},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5167562365531921},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.4709015190601349},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.4368535876274109},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2973746955394745},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.2634720206260681},{"id":"https://openalex.org/C97854310","wikidata":"https://www.wikidata.org/wiki/Q19541","display_name":"Search engine","level":2,"score":0.20290616154670715},{"id":"https://openalex.org/C164120249","wikidata":"https://www.wikidata.org/wiki/Q995982","display_name":"Web search query","level":3,"score":0.17288130521774292},{"id":"https://openalex.org/C194222762","wikidata":"https://www.wikidata.org/wiki/Q114486","display_name":"Query by Example","level":4,"score":0.11104142665863037},{"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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"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/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cns.2019.8802778","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cns.2019.8802778","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE Conference on Communications and Network Security (CNS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.7400000095367432,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W205333855","https://openalex.org/W1658920975","https://openalex.org/W1873763122","https://openalex.org/W1981029888","https://openalex.org/W1986293063","https://openalex.org/W1993116423","https://openalex.org/W2001347093","https://openalex.org/W2013315566","https://openalex.org/W2013823004","https://openalex.org/W2082894754","https://openalex.org/W2110953678","https://openalex.org/W2123820077","https://openalex.org/W2127121749","https://openalex.org/W2134306616","https://openalex.org/W2294598291","https://openalex.org/W2296319761","https://openalex.org/W2440056311","https://openalex.org/W2532967691","https://openalex.org/W2626769593","https://openalex.org/W2742225091","https://openalex.org/W2809452802","https://openalex.org/W2911978475","https://openalex.org/W2963833392","https://openalex.org/W3022909171","https://openalex.org/W3102407811","https://openalex.org/W3102859907","https://openalex.org/W3106047101","https://openalex.org/W4250589301","https://openalex.org/W6639246211","https://openalex.org/W6742396582"],"related_works":["https://openalex.org/W3008339103","https://openalex.org/W1667647204","https://openalex.org/W2404647514","https://openalex.org/W4247536566","https://openalex.org/W3038283795","https://openalex.org/W4241418540","https://openalex.org/W3211363117","https://openalex.org/W2963132290","https://openalex.org/W2549301014","https://openalex.org/W3205933106"],"abstract_inverted_index":{"Local":[0],"Differential":[1],"Privacy":[2],"(LDP)provides":[3],"provable":[4],"privacy":[5],"protection":[6],"for":[7,41,114,130,184],"data":[8,16,93],"collection":[9],"without":[10],"the":[11,14,64,72,84,115,134,139,150,169,178,192],"assumption":[12],"of":[13,34,61,74,106,121,171],"trusted":[15],"server.":[17],"Existing":[18],"mechanisms":[19],"that":[20,177],"satisfy":[21,100],"LDP":[22,107],"or":[23],"its":[24],"variants":[25],"either":[26],"only":[27],"consider":[28],"aggregate":[29],"queries":[30,40,62,78,187],"from":[31],"a":[32,42,92],"group":[33],"users":[35],"(e.g.,":[36,45],"frequency":[37,81,131,189],"estimation)or":[38],"individual":[39],"single":[43],"user":[44],"range":[46,77,122,186],"queries).":[47],"However,":[48],"in":[49],"complex":[50],"real-world":[51,165],"analytics":[52],"applications,":[53],"it":[54],"is":[55,97],"desirable":[56],"to":[57,99,152],"support":[58],"both":[59,162,185],"types":[60],"at":[63,83],"same":[65,85],"time.":[66],"In":[67],"this":[68,145],"paper,":[69],"we":[70,125],"tackle":[71],"challenge":[73],"privately":[75],"answering":[76],"and":[79,148,164,175,188],"providing":[80],"estimation":[82,132,146,155,190],"time":[86],"with":[87,108],"high":[88],"utility.":[89],"We":[90,137],"develop":[91],"perturbation":[94],"mechanism,":[95],"which":[96],"proved":[98],"local":[101],"d-privacy":[102],"(a":[103,118],"generalized":[104],"version":[105],"distance":[109],"metric)and":[110],"have":[111],"optimal":[112],"utility":[113,183],"co-location":[116],"query":[117],"specific":[119],"type":[120],"query).":[123],"Then,":[124],"utilize":[126],"an":[127],"inversion":[128],"approach":[129],"using":[133],"perturbed":[135],"data.":[136],"analyze":[138],"theoretical":[140,173],"Mean":[141],"Square":[142],"Error":[143],"(MSE)of":[144],"method":[147,156],"show":[149,176],"relationship":[151],"another":[153],"existing":[154],"under":[157],"LDP.":[158],"The":[159],"results":[160],"on":[161],"synthetic":[163],"location":[166],"datasets":[167],"validate":[168],"correctness":[170],"our":[172],"analysis":[174],"proposed":[179],"mechanism":[180],"has":[181],"better":[182],"than":[191],"state-of-the-art":[193],"mechanisms.":[194]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":9},{"year":2021,"cited_by_count":8},{"year":2020,"cited_by_count":11},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}