{"id":"https://openalex.org/W4414165696","doi":"https://doi.org/10.1109/tdsc.2025.3607786","title":"LabelDP Leaks Privacy \u2014 A Tightened Correlation-Aware Privacy Model for Labeled Training Data","display_name":"LabelDP Leaks Privacy \u2014 A Tightened Correlation-Aware Privacy Model for Labeled Training Data","publication_year":2025,"publication_date":"2025-09-09","ids":{"openalex":"https://openalex.org/W4414165696","doi":"https://doi.org/10.1109/tdsc.2025.3607786"},"language":"en","primary_location":{"id":"doi:10.1109/tdsc.2025.3607786","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tdsc.2025.3607786","pdf_url":null,"source":{"id":"https://openalex.org/S133795288","display_name":"IEEE Transactions on Dependable and Secure Computing","issn_l":"1545-5971","issn":["1545-5971","1941-0018","2160-9209"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Dependable and Secure Computing","raw_type":"journal-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/A5063417015","display_name":"Qiao Xue","orcid":"https://orcid.org/0000-0001-5523-3918"},"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":"Qiao Xue","raw_affiliation_strings":["Department of Electrical and Electronic Engineering, The Hongkong Polytechnic University, Hong Kong","Department of Electronic and Information Engineering, The Hongkong Polytechnic University, Hong kong"],"raw_orcid":"https://orcid.org/0000-0001-5523-3918","affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronic Engineering, The Hongkong Polytechnic University, Hong Kong","institution_ids":["https://openalex.org/I14243506"]},{"raw_affiliation_string":"Department of Electronic and Information Engineering, The Hongkong Polytechnic University, Hong kong","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":["Department of Electrical and Electronic Engineering, The Hongkong Polytechnic University, Hong Kong","Department of Electronic and Information Engineering, The Hongkong Polytechnic University, Hong kong"],"raw_orcid":"https://orcid.org/0000-0003-1547-2847","affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronic Engineering, The Hongkong Polytechnic University, Hong Kong","institution_ids":["https://openalex.org/I14243506"]},{"raw_affiliation_string":"Department of Electronic and Information Engineering, The Hongkong Polytechnic University, Hong kong","institution_ids":["https://openalex.org/I14243506"]}]},{"author_position":"middle","author":{"id":null,"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":["Department of Electrical and Electronic Engineering, The Hongkong Polytechnic University, Hong Kong","Department of Electronic and Information Engineering, The Hongkong Polytechnic University, Hong kong"],"raw_orcid":"https://orcid.org/0000-0002-9008-2112","affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronic Engineering, The Hongkong Polytechnic University, Hong Kong","institution_ids":["https://openalex.org/I14243506"]},{"raw_affiliation_string":"Department of Electronic and Information Engineering, The Hongkong Polytechnic University, Hong kong","institution_ids":["https://openalex.org/I14243506"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041918034","display_name":"Jian Lou","orcid":"https://orcid.org/0000-0002-4110-2068"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]},{"id":"https://openalex.org/I4210158570","display_name":"Zhejiang University-University of Edinburgh Institute","ror":"https://ror.org/04jth1r26","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210158570","https://openalex.org/I76130692","https://openalex.org/I98677209"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian Lou","raw_affiliation_strings":["Sun Yat-sen University, Guangzhou, China","HIC-ZJU, Zhejiang University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]},{"raw_affiliation_string":"HIC-ZJU, Zhejiang University, China","institution_ids":["https://openalex.org/I4210158570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100364819","display_name":"Jin Li","orcid":"https://orcid.org/0000-0003-0385-8793"},"institutions":[{"id":"https://openalex.org/I37987034","display_name":"Guangzhou University","ror":"https://ror.org/05ar8rn06","country_code":"CN","type":"education","lineage":["https://openalex.org/I37987034"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jin Li","raw_affiliation_strings":["Institute of Artificial Intelligence and Blockchain, Guangzhou University, Guangzhou, China","Institute of Artificial Intelligence and Blockchain, Guangzhou University, China"],"raw_orcid":"https://orcid.org/0000-0003-0385-8793","affiliations":[{"raw_affiliation_string":"Institute of Artificial Intelligence and Blockchain, Guangzhou University, Guangzhou, China","institution_ids":["https://openalex.org/I37987034"]},{"raw_affiliation_string":"Institute of Artificial Intelligence and Blockchain, Guangzhou University, China","institution_ids":["https://openalex.org/I37987034"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089400788","display_name":"Chengfang Fang","orcid":"https://orcid.org/0000-0002-8313-0980"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chengfang Fang","raw_affiliation_strings":["Huawei International, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Huawei International, Singapore","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5026840397","display_name":"Jie Shi","orcid":"https://orcid.org/0000-0002-1760-0462"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jie Shi","raw_affiliation_strings":["Huawei International, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Huawei International, Singapore","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":2645,"currency":"USD","value_usd":2645},"apc_paid":null,"fwci":2.2463,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.89939851,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":"23","issue":"1","first_page":"491","last_page":"506"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9986000061035156,"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":0.9986000061035156,"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/T11045","display_name":"Privacy, Security, and Data Protection","score":0.9448000192642212,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10927","display_name":"Access Control and Trust","score":0.9240999817848206,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/differential-privacy","display_name":"Differential privacy","score":0.9042999744415283},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.625},{"id":"https://openalex.org/keywords/information-privacy","display_name":"Information privacy","score":0.5989999771118164},{"id":"https://openalex.org/keywords/privacy-software","display_name":"Privacy software","score":0.47780001163482666},{"id":"https://openalex.org/keywords/variety","display_name":"Variety (cybernetics)","score":0.4578000009059906},{"id":"https://openalex.org/keywords/naive-bayes-classifier","display_name":"Naive Bayes classifier","score":0.4002000093460083},{"id":"https://openalex.org/keywords/privacy-protection","display_name":"Privacy protection","score":0.38940000534057617},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.3758000135421753},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.3709999918937683},{"id":"https://openalex.org/keywords/bayes-theorem","display_name":"Bayes' theorem","score":0.36980000138282776}],"concepts":[{"id":"https://openalex.org/C23130292","wikidata":"https://www.wikidata.org/wiki/Q5275358","display_name":"Differential privacy","level":2,"score":0.9042999744415283},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8307999968528748},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.625},{"id":"https://openalex.org/C123201435","wikidata":"https://www.wikidata.org/wiki/Q456632","display_name":"Information privacy","level":2,"score":0.5989999771118164},{"id":"https://openalex.org/C509729295","wikidata":"https://www.wikidata.org/wiki/Q7246032","display_name":"Privacy software","level":3,"score":0.47780001163482666},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.4578000009059906},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.453900009393692},{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.4002000093460083},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3986999988555908},{"id":"https://openalex.org/C3017597292","wikidata":"https://www.wikidata.org/wiki/Q25052250","display_name":"Privacy protection","level":2,"score":0.38940000534057617},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3871000111103058},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.3758000135421753},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.3709999918937683},{"id":"https://openalex.org/C207201462","wikidata":"https://www.wikidata.org/wiki/Q182505","display_name":"Bayes' theorem","level":3,"score":0.36980000138282776},{"id":"https://openalex.org/C149441793","wikidata":"https://www.wikidata.org/wiki/Q200726","display_name":"Probability distribution","level":2,"score":0.34279999136924744},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.33959999680519104},{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.33079999685287476},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.32670000195503235},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.3221000134944916},{"id":"https://openalex.org/C137822555","wikidata":"https://www.wikidata.org/wiki/Q2587068","display_name":"Information sensitivity","level":2,"score":0.3052000105381012},{"id":"https://openalex.org/C114289077","wikidata":"https://www.wikidata.org/wiki/Q3284399","display_name":"Statistical model","level":2,"score":0.3025999963283539},{"id":"https://openalex.org/C2780385302","wikidata":"https://www.wikidata.org/wiki/Q367158","display_name":"Protocol (science)","level":3,"score":0.29760000109672546},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.2971000075340271},{"id":"https://openalex.org/C18653775","wikidata":"https://www.wikidata.org/wiki/Q1333358","display_name":"Joint probability distribution","level":2,"score":0.2935999929904938},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.2786000072956085},{"id":"https://openalex.org/C169093310","wikidata":"https://www.wikidata.org/wiki/Q3702971","display_name":"Personally identifiable information","level":2,"score":0.2775000035762787},{"id":"https://openalex.org/C2777211547","wikidata":"https://www.wikidata.org/wiki/Q17141490","display_name":"Training (meteorology)","level":2,"score":0.27559998631477356},{"id":"https://openalex.org/C133462117","wikidata":"https://www.wikidata.org/wiki/Q4929239","display_name":"Data collection","level":2,"score":0.2687000036239624},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.2685999870300293},{"id":"https://openalex.org/C93226319","wikidata":"https://www.wikidata.org/wiki/Q193137","display_name":"Differential (mechanical device)","level":2,"score":0.26019999384880066},{"id":"https://openalex.org/C2778334786","wikidata":"https://www.wikidata.org/wiki/Q1586270","display_name":"Variation (astronomy)","level":2,"score":0.2540999948978424},{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.25270000100135803}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tdsc.2025.3607786","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tdsc.2025.3607786","pdf_url":null,"source":{"id":"https://openalex.org/S133795288","display_name":"IEEE Transactions on Dependable and Secure Computing","issn_l":"1545-5971","issn":["1545-5971","1941-0018","2160-9209"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Dependable and Secure Computing","raw_type":"journal-article"},{"id":"pmh:oai:ira.lib.polyu.edu.hk:10397/117078","is_oa":false,"landing_page_url":"http://hdl.handle.net/10397/117078","pdf_url":null,"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":"Journal/Magazine Article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2219992044","display_name":null,"funder_award_id":"GHP/392/22GD","funder_id":"https://openalex.org/F4320326427","funder_display_name":"Innovation and Technology Fund"},{"id":"https://openalex.org/G5619217070","display_name":null,"funder_award_id":"62302214","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8088107578","display_name":null,"funder_award_id":"92270123","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8632164231","display_name":null,"funder_award_id":"62372122","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"},{"id":"https://openalex.org/F4320326427","display_name":"Innovation and Technology Fund","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W1873763122","https://openalex.org/W1981029888","https://openalex.org/W1993924693","https://openalex.org/W2001347093","https://openalex.org/W2033092546","https://openalex.org/W2060041315","https://openalex.org/W2245160765","https://openalex.org/W2532967691","https://openalex.org/W2539944395","https://openalex.org/W2578791853","https://openalex.org/W2595058628","https://openalex.org/W2768132193","https://openalex.org/W2792817205","https://openalex.org/W2805580603","https://openalex.org/W2890880325","https://openalex.org/W2912161124","https://openalex.org/W2963629772","https://openalex.org/W2963881987","https://openalex.org/W2964117144","https://openalex.org/W2989394982","https://openalex.org/W2996145745","https://openalex.org/W3032754641","https://openalex.org/W3036436852","https://openalex.org/W3107031453","https://openalex.org/W3117066972","https://openalex.org/W3153402319","https://openalex.org/W3183408824","https://openalex.org/W3197640018","https://openalex.org/W3198790660","https://openalex.org/W3200389235","https://openalex.org/W3212338335","https://openalex.org/W4234726042","https://openalex.org/W4285307305","https://openalex.org/W4289517316"],"related_works":[],"abstract_inverted_index":{"It":[0],"is":[1,61],"well":[2],"understood":[3],"that":[4,62,82],"the":[5,14,23,87,94,121,139,179],"accuracy":[6],"of":[7,16,25,123,143,155,167,183],"machine":[8,156,190],"learning":[9,157,191],"models":[10],"heavily":[11],"depends":[12],"on":[13,90],"amount":[15],"training":[17,52],"data":[18,46,53],"collected":[19],"from":[20],"individuals.":[21],"However,":[22],"collection":[24],"sensitive":[26,45],"information":[27],"brings":[28],"privacy":[29,35,42,74,89,103,109,181],"risks":[30],"to":[31,51,58,93,115,137],"users.":[32],"Recently,":[33],"differential":[34,73,113],"(DP)":[36],"has":[37],"emerged":[38],"as":[39,160],"a":[40,55,107,133,153],"rigorous":[41],"model":[43],"for":[44,152],"collection.":[47],"When":[48],"applying":[49],"DP":[50],"collection,":[54],"common":[56],"practice":[57],"improve":[59],"utility":[60],"labels":[63,91],"are":[64,69,169],"sanitized":[65],"whereas":[66],"attribute":[67],"values":[68],"not,":[70],"a.k.a.,":[71],"label":[72,111],"(LabelDP).":[75],"In":[76],"this":[77,102,172],"paper,":[78],"we":[79,105,131,177],"point":[80],"out":[81],"LabelDP":[83],"can":[84,149],"hardly":[85],"guarantee":[86,182],"expected":[88],"due":[92],"correlation":[95],"between":[96,125],"attributes":[97,126,144],"and":[98,127,145,163,185],"labels.":[99,128,146],"To":[100],"address":[101],"leakage,":[104],"propose":[106,132],"stronger":[108],"model,correlation-aware":[110],"local":[112],"privacy(CLLDP),":[114],"protect":[116],"each":[117],"individual":[118],"user":[119],"with":[120],"consideration":[122],"correlations":[124],"Under":[129],"CLLDP,":[130],"perturbation":[134],"protocol$k$heads":[135],"response($k$HR)":[136],"estimate":[138],"joint":[140],"probabilistic":[141],"distribution":[142,148],"This":[147],"be":[150],"used":[151],"variety":[154],"tasks,":[158],"such":[159],"Na\u00efve":[161],"Bayes":[162],"decision":[164],"tree,":[165],"both":[166],"which":[168],"illustrated":[170],"in":[171,188],"paper.":[173],"Through":[174],"extensive":[175],"experiments,":[176],"show":[178],"strong":[180],"CLLDP":[184],"its":[186],"effectiveness":[187],"real-life":[189],"tasks.":[192]},"counts_by_year":[{"year":2026,"cited_by_count":2}],"updated_date":"2026-08-22T07:34:49.880490","created_date":"2025-10-10T00:00:00"}