{"id":"https://openalex.org/W4404678093","doi":"https://doi.org/10.1007/s10207-024-00942-9","title":"When should we use top coding in locally private estimation?","display_name":"When should we use top coding in locally private estimation?","publication_year":2024,"publication_date":"2024-11-25","ids":{"openalex":"https://openalex.org/W4404678093","doi":"https://doi.org/10.1007/s10207-024-00942-9"},"language":"en","primary_location":{"id":"doi:10.1007/s10207-024-00942-9","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10207-024-00942-9","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10207-024-00942-9.pdf","source":{"id":"https://openalex.org/S164062316","display_name":"International Journal of Information Security","issn_l":"1615-5262","issn":["1615-5262","1615-5270"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Information Security","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s10207-024-00942-9.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5020126896","display_name":"Hajime Ono","orcid":"https://orcid.org/0000-0002-8042-2697"},"institutions":[{"id":"https://openalex.org/I90023481","display_name":"National Institute of Information and Communications Technology","ror":"https://ror.org/016bgq349","country_code":"JP","type":"facility","lineage":["https://openalex.org/I90023481"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Hajime Ono","raw_affiliation_strings":["Security Fundamentals Laboratory, Cybersecurity Research Institute, National Institute of Information and Communications Technology, 4-2-1 Nukui-Kitamachi, Koganei, Tokyo, 184-8795, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Security Fundamentals Laboratory, Cybersecurity Research Institute, National Institute of Information and Communications Technology, 4-2-1 Nukui-Kitamachi, Koganei, Tokyo, 184-8795, Japan","institution_ids":["https://openalex.org/I90023481"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050712667","display_name":"Kazuhiro Minami","orcid":"https://orcid.org/0000-0003-4058-1762"},"institutions":[{"id":"https://openalex.org/I4210134673","display_name":"The Institute of Statistical Mathematics","ror":"https://ror.org/03jcejr58","country_code":"JP","type":"facility","lineage":["https://openalex.org/I1319490839","https://openalex.org/I4210134673","https://openalex.org/I4210158934"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kazuhiro Minami","raw_affiliation_strings":["The Institute of Statistical Mathematics, 10-3 Midoricho, Tachikawa, Tokyo, 190-0014, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Institute of Statistical Mathematics, 10-3 Midoricho, Tachikawa, Tokyo, 190-0014, Japan","institution_ids":["https://openalex.org/I4210134673"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023633849","display_name":"Hideitsu Hino","orcid":"https://orcid.org/0000-0002-6405-4361"},"institutions":[{"id":"https://openalex.org/I4210126580","display_name":"RIKEN Center for Advanced Intelligence Project","ror":"https://ror.org/03ckxwf91","country_code":"JP","type":"facility","lineage":["https://openalex.org/I4210110652","https://openalex.org/I4210126580"]},{"id":"https://openalex.org/I4210134673","display_name":"The Institute of Statistical Mathematics","ror":"https://ror.org/03jcejr58","country_code":"JP","type":"facility","lineage":["https://openalex.org/I1319490839","https://openalex.org/I4210134673","https://openalex.org/I4210158934"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hideitsu Hino","raw_affiliation_strings":["RIKEN AIP, 1-4-1 Nihonbashi, Tokyo, 103-0027, Japan","The Institute of Statistical Mathematics, 10-3 Midoricho, Tachikawa, Tokyo, 190-0014, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"RIKEN AIP, 1-4-1 Nihonbashi, Tokyo, 103-0027, Japan","institution_ids":["https://openalex.org/I4210126580"]},{"raw_affiliation_string":"The Institute of Statistical Mathematics, 10-3 Midoricho, Tachikawa, Tokyo, 190-0014, Japan","institution_ids":["https://openalex.org/I4210134673"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5020126896"],"corresponding_institution_ids":["https://openalex.org/I90023481"],"apc_list":{"value":2590,"currency":"EUR","value_usd":3190},"apc_paid":{"value":2590,"currency":"EUR","value_usd":3190},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.17899134,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"24","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9995999932289124,"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":0.9995999932289124,"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/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9750999808311462,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T10964","display_name":"Wireless Communication Security Techniques","score":0.9713000059127808,"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/computer-science","display_name":"Computer science","score":0.6855673789978027},{"id":"https://openalex.org/keywords/cryptography","display_name":"Cryptography","score":0.583164632320404},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.5415407419204712},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.5379258990287781},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.34061670303344727},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.29187315702438354},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19117265939712524},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.09864908456802368}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6855673789978027},{"id":"https://openalex.org/C178489894","wikidata":"https://www.wikidata.org/wiki/Q8789","display_name":"Cryptography","level":2,"score":0.583164632320404},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.5415407419204712},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.5379258990287781},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.34061670303344727},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.29187315702438354},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19117265939712524},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.09864908456802368},{"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:10.1007/s10207-024-00942-9","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10207-024-00942-9","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10207-024-00942-9.pdf","source":{"id":"https://openalex.org/S164062316","display_name":"International Journal of Information Security","issn_l":"1615-5262","issn":["1615-5262","1615-5270"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Information Security","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1007/s10207-024-00942-9","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10207-024-00942-9","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10207-024-00942-9.pdf","source":{"id":"https://openalex.org/S164062316","display_name":"International Journal of Information Security","issn_l":"1615-5262","issn":["1615-5262","1615-5270"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Information Security","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G250090759","display_name":null,"funder_award_id":"JP22486199","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G321875315","display_name":"\u5b89\u5168\u6027\u3068\u6709\u7528\u6027\u306e\u4fdd\u8a3c\u306e\u3042\u308b\u30d8\u30eb\u30b9\u30b1\u30a2\u533f\u540d\u30b3\u30db\u30fc\u30c8\u57fa\u76e4","funder_award_id":"JPMJCR21M1","funder_id":"https://openalex.org/F4320334789","funder_display_name":"Japan Science and Technology Agency"},{"id":"https://openalex.org/G3345492586","display_name":null,"funder_award_id":"JP21H04403, JP22H00521, JP22K01427","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G4178511735","display_name":null,"funder_award_id":"JPMH20EA1007","funder_id":"https://openalex.org/F4320321945","funder_display_name":"Ministry of Health, Labour and Welfare"}],"funders":[{"id":"https://openalex.org/F4320321945","display_name":"Ministry of Health, Labour and Welfare","ror":"https://ror.org/03mwa7s65"},{"id":"https://openalex.org/F4320334764","display_name":"Japan Society for the Promotion of Science","ror":"https://ror.org/00hhkn466"},{"id":"https://openalex.org/F4320334789","display_name":"Japan Science and Technology Agency","ror":"https://ror.org/00097mb19"}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4404678093.pdf"},"referenced_works_count":30,"referenced_works":["https://openalex.org/W20317215","https://openalex.org/W1511694993","https://openalex.org/W1873763122","https://openalex.org/W1981029888","https://openalex.org/W1986293063","https://openalex.org/W2010670304","https://openalex.org/W2026523206","https://openalex.org/W2053637704","https://openalex.org/W2053801139","https://openalex.org/W2068015060","https://openalex.org/W2102236934","https://openalex.org/W2245160765","https://openalex.org/W2419749112","https://openalex.org/W2473418344","https://openalex.org/W2532967691","https://openalex.org/W2783589032","https://openalex.org/W2905773183","https://openalex.org/W2963241231","https://openalex.org/W2963881987","https://openalex.org/W2964332492","https://openalex.org/W2971613228","https://openalex.org/W3089588920","https://openalex.org/W3102859907","https://openalex.org/W3153402319","https://openalex.org/W3167852904","https://openalex.org/W3197494818","https://openalex.org/W4297790104","https://openalex.org/W6600340491","https://openalex.org/W6601828127","https://openalex.org/W6609868089"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2060145807","https://openalex.org/W4248806346"],"abstract_inverted_index":{"Local":[0],"differential":[1],"privacy":[2,127],"is":[3,68],"a":[4,12,44,59,76,219,223,251],"strict":[5],"definition":[6],"used":[7],"to":[8,25,91,119,246],"protect":[9],"respondents":[10],"in":[11,34,111,133,189,201,214],"distributed":[13],"statistical":[14,135],"survey":[15,19],"against":[16],"an":[17,147],"untrusted":[18],"organizer.":[20],"Respondents":[21],"randomize":[22],"their":[23],"records":[24,31,73],"make":[26],"distinguishing":[27],"any":[28],"pair":[29],"of":[30,84,131,146,162,179],"not":[32],"easy":[33],"the":[35,41,52,82,85,93,101,108,112,126,129,139,144,160,163,169,174,190,193,202,205,215,234,244,248],"system":[36],"model,":[37],"and":[38,87,128,165,172,176,212,236,239],"LDP":[39,134],"represents":[40],"easiness":[42],"with":[43,58,159,250],"non-negative":[45],"scalar":[46],"$$\\epsilon":[47,61],"$$":[48,62],".":[49],"However,":[50],"satisfying":[51],"requirements":[53],"for":[54,182],"larger":[55],"record":[56],"domains":[57],"small":[60,224,252],"can":[63,98,196,208],"be":[64,197,210],"challenging.":[65],"One":[66],"solution":[67],"top":[69,96,122],"coding,":[70],"which":[71,142],"censors":[72],"that":[74,187,230],"exceed":[75],"given":[77],"threshold.":[78],"Top":[79],"coding":[80,97,123],"reduces":[81,107],"range":[83],"data":[86],"makes":[88],"it":[89,105],"easier":[90],"satisfy":[92],"requirements;":[94],"however,":[95],"also":[99,106],"undermine":[100],"records\u2019":[102],"utility":[103],"because":[104],"information":[109],"contained":[110],"records.":[113],"In":[114],"this":[115],"study,":[116],"we":[117],"attempted":[118],"determine":[120],"when":[121],"effectively":[124],"balances":[125],"performance":[130],"estimators":[132],"estimations":[136],"by":[137],"analyzing":[138],"minimax":[140,180,194,206,225],"risk,":[141],"measures":[143],"difficulty":[145],"estimation":[148,152,253],"problem.":[149],"We":[150],"classified":[151],"problems":[153],"into":[154],"three":[155],"classes,":[156],"characterizing":[157],"them":[158],"structure":[161],"statistics":[164],"prior":[166,241],"knowledge":[167,242],"about":[168,243],"candidate":[170],"populations,":[171],"derived":[173],"upper":[175],"lower":[177],"bounds":[178,185],"risks":[181],"them.":[183],"The":[184],"suggest":[186,229],"(i)":[188],"first":[191],"class,":[192,204,217],"risk":[195,207],"arbitrarily":[198],"large;":[199],"(ii)":[200],"second":[203],"always":[209],"small;":[211],"(iii)":[213],"third":[216],"only":[218],"moderate-size":[220],"threshold":[221,237],"gives":[222],"risk.":[226],"Our":[227],"findings":[228],"practitioners":[231],"should":[232],"choose":[233],"statistic":[235,249],"carefully":[238],"collect":[240],"population":[245],"estimate":[247],"error.":[254]},"counts_by_year":[],"updated_date":"2026-06-13T06:13:01.061226","created_date":"2025-10-10T00:00:00"}