{"id":"https://openalex.org/W3211363117","doi":"https://doi.org/10.1145/3460120.3485668","title":"AHEAD: Adaptive Hierarchical Decomposition for Range Query under Local Differential Privacy","display_name":"AHEAD: Adaptive Hierarchical Decomposition for Range Query under Local Differential Privacy","publication_year":2021,"publication_date":"2021-11-12","ids":{"openalex":"https://openalex.org/W3211363117","doi":"https://doi.org/10.1145/3460120.3485668","mag":"3211363117"},"language":"en","primary_location":{"id":"doi:10.1145/3460120.3485668","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3460120.3485668","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2021 ACM SIGSAC Conference on Computer and Communications Security","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/A5076891548","display_name":"Linkang Du","orcid":"https://orcid.org/0009-0004-9028-9326"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Linkang Du","raw_affiliation_strings":["Zhejiang University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100746182","display_name":"Zhikun Zhang","orcid":"https://orcid.org/0000-0001-7208-3392"},"institutions":[{"id":"https://openalex.org/I4210128801","display_name":"Helmholtz Center for Information Security","ror":"https://ror.org/02njgxr09","country_code":"DE","type":"facility","lineage":["https://openalex.org/I1305996414","https://openalex.org/I4210128801"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Zhikun Zhang","raw_affiliation_strings":["CISPA Helmholtz Center for Information Security, Saarbr\u00fccken, Germany"],"affiliations":[{"raw_affiliation_string":"CISPA Helmholtz Center for Information Security, Saarbr\u00fccken, Germany","institution_ids":["https://openalex.org/I4210128801"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037832036","display_name":"Shaojie Bai","orcid":"https://orcid.org/0009-0006-7526-5216"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shaojie Bai","raw_affiliation_strings":["Zhejiang University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103101104","display_name":"Changchang Liu","orcid":"https://orcid.org/0000-0003-3111-0782"},"institutions":[{"id":"https://openalex.org/I1341412227","display_name":"IBM (United States)","ror":"https://ror.org/05hh8d621","country_code":"US","type":"company","lineage":["https://openalex.org/I1341412227"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Changchang Liu","raw_affiliation_strings":["IBM Research, Yorktown Heights, NY, USA"],"affiliations":[{"raw_affiliation_string":"IBM Research, Yorktown Heights, NY, USA","institution_ids":["https://openalex.org/I1341412227"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058611515","display_name":"Shouling Ji","orcid":"https://orcid.org/0000-0003-4268-372X"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shouling Ji","raw_affiliation_strings":["Zhejiang University & Binjiang Institute of Zhejiang University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Zhejiang University & Binjiang Institute of Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036585419","display_name":"Peng Cheng","orcid":"https://orcid.org/0000-0002-9797-6944"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peng Cheng","raw_affiliation_strings":["Zhejiang University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100726041","display_name":"Jiming Chen","orcid":"https://orcid.org/0000-0003-3155-3145"},"institutions":[{"id":"https://openalex.org/I55712492","display_name":"Zhejiang University of Technology","ror":"https://ror.org/02djqfd08","country_code":"CN","type":"education","lineage":["https://openalex.org/I55712492"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiming Chen","raw_affiliation_strings":["Zhejiang University & Zhejiang University of Technology, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Zhejiang University & Zhejiang University of Technology, Hangzhou, China","institution_ids":["https://openalex.org/I55712492"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5076891548"],"corresponding_institution_ids":["https://openalex.org/I76130692"],"apc_list":null,"apc_paid":null,"fwci":2.796,"has_fulltext":false,"cited_by_count":32,"citation_normalized_percentile":{"value":0.921127,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1266","last_page":"1288"},"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/T10761","display_name":"Vehicular Ad Hoc Networks (VANETs)","score":0.988099992275238,"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"}},{"id":"https://openalex.org/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9513999819755554,"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":0.9378944635391235},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8369835019111633},{"id":"https://openalex.org/keywords/range-query","display_name":"Range query (database)","score":0.6080180406570435},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.5570752620697021},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5535053014755249},{"id":"https://openalex.org/keywords/decomposition","display_name":"Decomposition","score":0.5421702265739441},{"id":"https://openalex.org/keywords/query-optimization","display_name":"Query optimization","score":0.5265759825706482},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5118650794029236},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.4644278287887573},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.45784300565719604},{"id":"https://openalex.org/keywords/protocol","display_name":"Protocol (science)","score":0.4333382844924927},{"id":"https://openalex.org/keywords/sargable","display_name":"Sargable","score":0.29475948214530945},{"id":"https://openalex.org/keywords/web-search-query","display_name":"Web search query","score":0.27421510219573975},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.23770049214363098},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.14994722604751587},{"id":"https://openalex.org/keywords/search-engine","display_name":"Search engine","score":0.12820199131965637}],"concepts":[{"id":"https://openalex.org/C23130292","wikidata":"https://www.wikidata.org/wiki/Q5275358","display_name":"Differential privacy","level":2,"score":0.9378944635391235},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8369835019111633},{"id":"https://openalex.org/C136736807","wikidata":"https://www.wikidata.org/wiki/Q818943","display_name":"Range query (database)","level":5,"score":0.6080180406570435},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.5570752620697021},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5535053014755249},{"id":"https://openalex.org/C124681953","wikidata":"https://www.wikidata.org/wiki/Q339062","display_name":"Decomposition","level":2,"score":0.5421702265739441},{"id":"https://openalex.org/C157692150","wikidata":"https://www.wikidata.org/wiki/Q2919848","display_name":"Query optimization","level":2,"score":0.5265759825706482},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5118650794029236},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.4644278287887573},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.45784300565719604},{"id":"https://openalex.org/C2780385302","wikidata":"https://www.wikidata.org/wiki/Q367158","display_name":"Protocol (science)","level":3,"score":0.4333382844924927},{"id":"https://openalex.org/C192939062","wikidata":"https://www.wikidata.org/wiki/Q104840822","display_name":"Sargable","level":4,"score":0.29475948214530945},{"id":"https://openalex.org/C164120249","wikidata":"https://www.wikidata.org/wiki/Q995982","display_name":"Web search query","level":3,"score":0.27421510219573975},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.23770049214363098},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.14994722604751587},{"id":"https://openalex.org/C97854310","wikidata":"https://www.wikidata.org/wiki/Q19541","display_name":"Search engine","level":2,"score":0.12820199131965637},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"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/C204787440","wikidata":"https://www.wikidata.org/wiki/Q188504","display_name":"Alternative medicine","level":2,"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/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","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/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3460120.3485668","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3460120.3485668","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2021 ACM SIGSAC Conference on Computer and Communications Security","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G110098817","display_name":null,"funder_award_id":"62088101, 61833015, 61772466, U1836202","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":61,"referenced_works":["https://openalex.org/W1601184778","https://openalex.org/W1981029888","https://openalex.org/W1981932091","https://openalex.org/W1986293063","https://openalex.org/W1990503647","https://openalex.org/W2013823004","https://openalex.org/W2013863451","https://openalex.org/W2022542865","https://openalex.org/W2024021429","https://openalex.org/W2053801139","https://openalex.org/W2057576485","https://openalex.org/W2071511328","https://openalex.org/W2082894754","https://openalex.org/W2096803423","https://openalex.org/W2099259603","https://openalex.org/W2101771965","https://openalex.org/W2104829661","https://openalex.org/W2108215372","https://openalex.org/W2122290076","https://openalex.org/W2123845384","https://openalex.org/W2151310484","https://openalex.org/W2170204206","https://openalex.org/W2217200224","https://openalex.org/W2236011587","https://openalex.org/W2245160765","https://openalex.org/W2404133814","https://openalex.org/W2440056311","https://openalex.org/W2473418344","https://openalex.org/W2497793992","https://openalex.org/W2532967691","https://openalex.org/W2560610000","https://openalex.org/W2566050141","https://openalex.org/W2753855453","https://openalex.org/W2766587611","https://openalex.org/W2794566778","https://openalex.org/W2794674331","https://openalex.org/W2809098130","https://openalex.org/W2890880325","https://openalex.org/W2911495555","https://openalex.org/W2911978475","https://openalex.org/W2930558539","https://openalex.org/W2948055046","https://openalex.org/W2963849169","https://openalex.org/W2964117144","https://openalex.org/W2964225135","https://openalex.org/W2966080601","https://openalex.org/W2971613228","https://openalex.org/W2976386368","https://openalex.org/W2989394982","https://openalex.org/W2997147031","https://openalex.org/W3003156168","https://openalex.org/W3023689477","https://openalex.org/W3035382016","https://openalex.org/W3038283795","https://openalex.org/W3102407811","https://openalex.org/W3102859907","https://openalex.org/W3104241387","https://openalex.org/W3127128620","https://openalex.org/W3151471016","https://openalex.org/W4230665353","https://openalex.org/W6602287985"],"related_works":["https://openalex.org/W2349153818","https://openalex.org/W3211363117","https://openalex.org/W2963132290","https://openalex.org/W2549301014","https://openalex.org/W3205933106","https://openalex.org/W2347809727","https://openalex.org/W2382756238","https://openalex.org/W2107022098","https://openalex.org/W2118790811","https://openalex.org/W2180896803"],"abstract_inverted_index":{"For":[0],"protecting":[1],"users'":[2],"private":[3],"data,":[4],"local":[5],"differential":[6],"privacy":[7,59],"(LDP)":[8],"has":[9],"been":[10],"leveraged":[11],"to":[12,39,51],"provide":[13,152],"the":[14,52,57,78,84,107,127,146],"privacy-preserving":[15],"range":[16,26,137],"query,":[17],"thus":[18],"supporting":[19],"further":[20],"statistical":[21],"analysis.":[22],"However,":[23],"existing":[24],"LDP-based":[25],"query":[27,138],"approaches":[28],"are":[29],"limited":[30],"by":[31],"their":[32],"properties,":[33],"ie,":[34],"collecting":[35],"user":[36],"data":[37,54],"according":[38],"a":[40,97,153],"pre-defined":[41],"structure.":[42],"These":[43],"static":[44],"frameworks":[45],"would":[46],"incur":[47],"excessive":[48],"noise":[49,86],"added":[50],"aggregated":[53],"especially":[55],"in":[56,131,161],"low":[58,133],"budget":[60],"setting.":[61],"In":[62,149],"this":[63],"work,":[64],"we":[65,95,124,151],"propose":[66],"an":[67],"Adaptive":[68],"Hierarchical":[69],"Decomposition":[70],"(AHEAD)":[71],"protocol,":[72],"which":[73],"adaptively":[74],"and":[75,121,134],"dynamically":[76],"controls":[77],"built":[79],"tree":[80],"structure,":[81],"so":[82,105],"that":[83,106],"injected":[85],"is":[87],"well":[88,141],"controlled":[89],"for":[90,99,103,158],"maintaining":[91],"high":[92,135],"utility.":[93],"Furthermore,":[94],"derive":[96],"guideline":[98],"properly":[100],"choosing":[101],"parameters":[102],"AHEAD":[104,130],"overall":[108],"utility":[109],"can":[110],"be":[111],"consistently":[112],"competitive":[113],"while":[114],"rigorously":[115],"satisfying":[116],"LDP.":[117],"Leveraging":[118],"multiple":[119],"real":[120],"synthetic":[122],"datasets,":[123],"extensively":[125],"show":[126],"effectiveness":[128],"of":[129,155],"both":[132],"dimensional":[136],"scenarios,":[139],"as":[140,142],"its":[143],"advantages":[144],"over":[145],"state-of-the-art":[147],"methods.":[148],"addition,":[150],"series":[154],"useful":[156],"observations":[157],"deploying":[159],"\\myahead":[160],"practice.":[162]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":10},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":4}],"updated_date":"2026-03-12T08:34:05.389933","created_date":"2025-10-10T00:00:00"}