{"id":"https://openalex.org/W3183408824","doi":"https://doi.org/10.1109/secon52354.2021.9491591","title":"Collecting High-Dimensional and Correlation-Constrained Data with Local Differential Privacy","display_name":"Collecting High-Dimensional and Correlation-Constrained Data with Local Differential Privacy","publication_year":2021,"publication_date":"2021-07-06","ids":{"openalex":"https://openalex.org/W3183408824","doi":"https://doi.org/10.1109/secon52354.2021.9491591","mag":"3183408824"},"language":"en","primary_location":{"id":"doi:10.1109/secon52354.2021.9491591","is_oa":false,"landing_page_url":"https://doi.org/10.1109/secon52354.2021.9491591","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 18th Annual IEEE International Conference on Sensing, Communication, and Networking (SECON)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://ira.lib.polyu.edu.hk/bitstream/10397/107092/1/Du_Collecting_High-Dimensional_Correlation-Constrained.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100541802","display_name":"Rong Du","orcid":"https://orcid.org/0000-0002-5478-896X"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Rong Du","raw_affiliation_strings":["The Hong Kong Polytechnic University,Department of Electronic and Information Engineering","Department of Electronic and Information Engineering, The Hong Kong Polytechnic University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Hong Kong Polytechnic University,Department of Electronic and Information Engineering","institution_ids":["https://openalex.org/I14243506"]},{"raw_affiliation_string":"Department of Electronic and Information Engineering, The Hong Kong Polytechnic University","institution_ids":["https://openalex.org/I14243506"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001652101","display_name":"Qingqing Ye","orcid":"https://orcid.org/0000-0003-1547-2847"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Qingqing Ye","raw_affiliation_strings":["The Hong Kong Polytechnic University,Department of Electronic and Information Engineering","Department of Electronic and Information Engineering, The Hong Kong Polytechnic University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Hong Kong Polytechnic University,Department of Electronic and Information Engineering","institution_ids":["https://openalex.org/I14243506"]},{"raw_affiliation_string":"Department of Electronic and Information Engineering, The Hong Kong Polytechnic University","institution_ids":["https://openalex.org/I14243506"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100628055","display_name":"Yue Fu","orcid":"https://orcid.org/0000-0001-8519-7954"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Yue Fu","raw_affiliation_strings":["The Hong Kong Polytechnic University,Department of Electronic and Information Engineering","Department of Electronic and Information Engineering, The Hong Kong Polytechnic University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Hong Kong Polytechnic University,Department of Electronic and Information Engineering","institution_ids":["https://openalex.org/I14243506"]},{"raw_affiliation_string":"Department of Electronic and Information Engineering, The Hong Kong Polytechnic University","institution_ids":["https://openalex.org/I14243506"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5051088560","display_name":"Haibo Hu","orcid":"https://orcid.org/0000-0002-9008-2112"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Haibo Hu","raw_affiliation_strings":["The Hong Kong Polytechnic University,Department of Electronic and Information Engineering","Department of Electronic and Information Engineering, The Hong Kong Polytechnic University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Hong Kong Polytechnic University,Department of Electronic and Information Engineering","institution_ids":["https://openalex.org/I14243506"]},{"raw_affiliation_string":"Department of Electronic and Information Engineering, The Hong Kong Polytechnic University","institution_ids":["https://openalex.org/I14243506"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I14243506"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":17,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"9"},"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/T10237","display_name":"Cryptography and Data Security","score":0.9933000206947327,"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":0.9921000003814697,"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":0.898817777633667},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6140997409820557},{"id":"https://openalex.org/keywords/correlation","display_name":"Correlation","score":0.4999661445617676},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.30100318789482117},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1574336588382721}],"concepts":[{"id":"https://openalex.org/C23130292","wikidata":"https://www.wikidata.org/wiki/Q5275358","display_name":"Differential privacy","level":2,"score":0.898817777633667},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6140997409820557},{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.4999661445617676},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.30100318789482117},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1574336588382721},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/secon52354.2021.9491591","is_oa":false,"landing_page_url":"https://doi.org/10.1109/secon52354.2021.9491591","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 18th Annual IEEE International Conference on Sensing, Communication, and Networking (SECON)","raw_type":"proceedings-article"},{"id":"pmh:oai:ira.lib.polyu.edu.hk:10397/107092","is_oa":true,"landing_page_url":"http://hdl.handle.net/10397/107092","pdf_url":"http://ira.lib.polyu.edu.hk/bitstream/10397/107092/1/Du_Collecting_High-Dimensional_Correlation-Constrained.pdf","source":{"id":"https://openalex.org/S4306400205","display_name":"PolyU Institutional Research Archive (Hong Kong Polytechnic University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I14243506","host_organization_name":"Hong Kong Polytechnic University","host_organization_lineage":["https://openalex.org/I14243506"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Conference Paper"}],"best_oa_location":{"id":"pmh:oai:ira.lib.polyu.edu.hk:10397/107092","is_oa":true,"landing_page_url":"http://hdl.handle.net/10397/107092","pdf_url":"http://ira.lib.polyu.edu.hk/bitstream/10397/107092/1/Du_Collecting_High-Dimensional_Correlation-Constrained.pdf","source":{"id":"https://openalex.org/S4306400205","display_name":"PolyU Institutional Research Archive (Hong Kong Polytechnic University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I14243506","host_organization_name":"Hong Kong Polytechnic University","host_organization_lineage":["https://openalex.org/I14243506"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Conference Paper"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5593586750","display_name":"\u673a\u5668\u5b66\u4e60\u5373\u670d\u52a1\u4e2d\u7684\u9632\u6b3a\u8bc8\u548c\u5b8c\u6574\u6027\u9a8c\u8bc1\u7814\u7a76","funder_award_id":"62072390","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":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3183408824.pdf","grobid_xml":"https://content.openalex.org/works/W3183408824.grobid-xml"},"referenced_works_count":48,"referenced_works":["https://openalex.org/W1873763122","https://openalex.org/W1966072539","https://openalex.org/W1981029888","https://openalex.org/W1986293063","https://openalex.org/W1993116423","https://openalex.org/W2004915866","https://openalex.org/W2013823004","https://openalex.org/W2053801139","https://openalex.org/W2085472312","https://openalex.org/W2109426455","https://openalex.org/W2120176508","https://openalex.org/W2123820077","https://openalex.org/W2147435839","https://openalex.org/W2148002238","https://openalex.org/W2151320232","https://openalex.org/W2245160765","https://openalex.org/W2284973007","https://openalex.org/W2377838504","https://openalex.org/W2440056311","https://openalex.org/W2532967691","https://openalex.org/W2560610000","https://openalex.org/W2566050141","https://openalex.org/W2742225091","https://openalex.org/W2794674331","https://openalex.org/W2890880325","https://openalex.org/W2930558539","https://openalex.org/W2963132290","https://openalex.org/W2963629772","https://openalex.org/W2963849169","https://openalex.org/W2964074929","https://openalex.org/W2964117144","https://openalex.org/W2972997402","https://openalex.org/W2997147031","https://openalex.org/W3015934416","https://openalex.org/W3082422875","https://openalex.org/W3102407811","https://openalex.org/W3102859907","https://openalex.org/W4205548518","https://openalex.org/W4293582152","https://openalex.org/W6639246211","https://openalex.org/W6651608069","https://openalex.org/W6681909838","https://openalex.org/W6695733754","https://openalex.org/W6696286401","https://openalex.org/W6709082240","https://openalex.org/W6740797600","https://openalex.org/W6742396582","https://openalex.org/W6771351916"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W3038283795","https://openalex.org/W2604501336","https://openalex.org/W2734500670","https://openalex.org/W2558166297","https://openalex.org/W2315671126","https://openalex.org/W798507144","https://openalex.org/W2964481303","https://openalex.org/W1751413323"],"abstract_inverted_index":{"Local":[0],"differential":[1,147],"privacy":[2,7,109,148,171],"(LDP)":[3],"is":[4,185,229],"a":[5,139,161,186],"promising":[6],"model":[8],"for":[9,101,150],"distributed":[10],"data":[11,78,133,212],"collection.":[12],"It":[13],"has":[14],"been":[15],"widely":[16],"deployed":[17],"in":[18,131,191,209],"real-world":[19,238],"systems":[20],"(e.g.":[21],"Chrome,":[22],"iOS,":[23],"macOS).":[24],"In":[25,83],"LDP-based":[26],"mechanisms,":[27],"an":[28],"aggregator":[29],"collects":[30],"private":[31],"values":[32,41],"perturbed":[33],"by":[34],"each":[35,174],"user":[36],"and":[37,49,63,73,96,128,159,194,231,239],"then":[38],"analyses":[39],"these":[40,113],"to":[42,181,216],"estimate":[43],"their":[44],"statistics,":[45],"such":[46,60,92],"as":[47,61],"frequency":[48],"mean.":[50],"Most":[51],"existing":[52,104],"works":[53],"focus":[54],"on":[55,173,237],"simple":[56],"scalar":[57],"value":[58],"types,":[59],"boolean":[62],"categorical":[64],"values.":[65],"However,":[66],"with":[67,221,233],"the":[68,108,123,155,168,200,217],"emergence":[69],"of":[70,75,91,120,125,170,196,204,211,226],"smart":[71],"sensors":[72],"internet":[74],"things,":[76],"high-dimensional":[77,102,151],"are":[79],"gaining":[80],"increasing":[81],"popularity.":[82],"many":[84],"cases,":[85],"correlations":[86,156],"exist":[87],"between":[88,157],"various":[89],"attributes":[90,115,158,208],"data,":[93,103],"e.g.":[94],"temperature":[95],"luminance.":[97],"To":[98],"ensure":[99],"LDP":[100,141,235],"solutions":[105],"either":[106],"partition":[107],"budget":[110,172],"&#x03F5;":[111],"among":[112,207],"correlated":[114,175],"or":[116],"adopt":[117],"sampling,":[118,183],"both":[119,227],"which":[121,184,214],"dilute":[122],"density":[124],"useful":[126],"information":[127],"thus":[129],"result":[130],"poor":[132],"utility.In":[134],"this":[135],"paper,":[136],"we":[137,178],"propose":[138],"relaxed":[140],"model,":[142],"namely,":[143],"univariate":[144],"dominance":[145],"local":[146],"(UDLDP),":[149],"data.":[152],"We":[153,198],"quantify":[154],"present":[160],"correlation-bounded":[162,218],"perturbation":[163,219],"(CBP)":[164],"mechanism":[165,220],"that":[166],"optimizes":[167],"partitioning":[169],"attribute.":[176],"Furthermore,":[177],"extend":[179],"CBP":[180],"support":[182],"common":[187],"bandwidth":[188],"reduction":[189],"technique":[190],"sensor":[192],"networks":[193],"Internet":[195],"Things.":[197],"derive":[199],"best":[201],"allocation":[202],"strategy":[203],"sampling":[205,222],"probabilities":[206],"terms":[210],"utility,":[213],"leads":[215],"(CBPS).":[223],"The":[224],"performance":[225],"mechanisms":[228,236],"evaluated":[230],"compared":[232],"state-of-the-art":[234],"synthetic":[240],"datasets.":[241]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
