{"id":"https://openalex.org/W3217279130","doi":null,"title":"Statistical disclosure controls for machine learning models","display_name":"Statistical disclosure controls for machine learning models","publication_year":2021,"publication_date":"2021-10-06","ids":{"openalex":"https://openalex.org/W3217279130","mag":"3217279130"},"language":"en","primary_location":{"id":"pmh:oai:uwe-repository.worktribe.com:8067227","doi":null,"is_oa":false,"landing_page_url":"https://uwe-repository.worktribe.com/output/8067227","pdf_url":null,"source":{"id":"https://openalex.org/S4306401464","display_name":"UWE Research Repository (UWE Bristol)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I178535277","host_organization_name":"University of the West of England","host_organization_lineage":["https://openalex.org/I178535277"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":null,"raw_type":"Presentation / Conference Contribution"},"volume":null,"type":"conference-paper","is_traditional":true,"indexed_in":[],"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/A5087248477","display_name":"Susan Krueger","orcid":"https://orcid.org/0000-0002-5219-1959","observed_orcids":["https://orcid.org/0000-0002-5219-1959"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Susan Krueger","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0002-5219-1959","affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032008577","display_name":"Esma Mansouri-Benssassi","orcid":"https://orcid.org/0000-0003-3510-8129","observed_orcids":["https://orcid.org/0000-0003-3510-8129"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Esma Mansouri-Benssassi","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0003-3510-8129","affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039671513","display_name":"Felix Ritchie","orcid":"https://orcid.org/0000-0003-4097-4021","observed_orcids":["https://orcid.org/0000-0003-4097-4021"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Felix Ritchie","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0003-4097-4021","affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5017566347","display_name":"James Edward Smith","orcid":"https://orcid.org/0000-0001-7908-1859","observed_orcids":["https://orcid.org/0000-0001-7908-1859"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"James E. Smith","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0001-7908-1859","affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1865,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.36302796,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":95},"biblio":{"volume":null,"issue":null,"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":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/T10883","display_name":"Ethics and Social Impacts of AI","score":0.0,"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/T10927","display_name":"Access Control and Trust","score":0.0,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/statistical-disclosure-control","display_name":"statistical disclosure control","score":0.9890000224113464},{"id":"https://openalex.org/keywords/machine-learning-models","display_name":"machine learning models","score":0.8360000252723694},{"id":"https://openalex.org/keywords/re-identification","display_name":"re-identification","score":0.7059999704360962},{"id":"https://openalex.org/keywords/data-privacy","display_name":"data privacy","score":0.5170000195503235},{"id":"https://openalex.org/keywords/secure-data-access","display_name":"secure data access","score":0.5690000057220459},{"id":"https://openalex.org/keywords/operational-control","display_name":"operational control","score":0.7210000157356262},{"id":"https://openalex.org/keywords/disclosure-risk","display_name":"disclosure risk","score":0.4860000014305115},{"id":"https://openalex.org/keywords/personal-information","display_name":"personal data","score":0.6039999723434448}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7055780291557312},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.6710875630378723},{"id":"https://openalex.org/C114289077","wikidata":"https://www.wikidata.org/wiki/Q3284399","display_name":"Statistical model","level":2,"score":0.5579452514648438},{"id":"https://openalex.org/C71745522","wikidata":"https://www.wikidata.org/wiki/Q2476929","display_name":"Confidentiality","level":2,"score":0.5554903149604797},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.5353278517723083},{"id":"https://openalex.org/C112930515","wikidata":"https://www.wikidata.org/wiki/Q4389547","display_name":"Risk analysis (engineering)","level":1,"score":0.45756796002388},{"id":"https://openalex.org/C151201525","wikidata":"https://www.wikidata.org/wiki/Q177239","display_name":"Limit (mathematics)","level":2,"score":0.4175010919570923},{"id":"https://openalex.org/C12174686","wikidata":"https://www.wikidata.org/wiki/Q1058438","display_name":"Risk assessment","level":2,"score":0.413989782333374},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3596852123737335},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33475637435913086},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.2945582866668701},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:uwe-repository.worktribe.com:8067227","doi":null,"is_oa":false,"landing_page_url":"https://uwe-repository.worktribe.com/output/8067227","pdf_url":null,"source":{"id":"https://openalex.org/S4306401464","display_name":"UWE Research Repository (UWE Bristol)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I178535277","host_organization_name":"University of the West of England","host_organization_lineage":["https://openalex.org/I178535277"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":null,"raw_type":"Presentation / Conference Contribution"},{"id":"mag:3217279130","doi":null,"is_oa":false,"landing_page_url":"https://uwe-repository.worktribe.com/output/8067227/statistical-disclosure-controls-for-machine-learning-models","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W2163605009","https://openalex.org/W2899797853","https://openalex.org/W2981731882","https://openalex.org/W3048802680","https://openalex.org/W3090042218"],"related_works":["https://openalex.org/W4310854132","https://openalex.org/W7100931862","https://openalex.org/W2170625341","https://openalex.org/W4297441113","https://openalex.org/W7167499691","https://openalex.org/W7204409678","https://openalex.org/W4297890277","https://openalex.org/W7223318437","https://openalex.org/W6894016445","https://openalex.org/W4389737512"],"abstract_inverted_index":{"Artificial":[0],"Intelligence":[1],"(AI)":[2],"models":[3,34,119],"are":[4,36,46,83,172],"trained":[5,120],"on":[6,112,121],"large":[7,230],"datasets.":[8],"Where":[9],"the":[10,15,26,33,69,76,101,129,187],"training":[11,27],"data":[12,16,28,55],"is":[13,89,106,164,193,241],"sensitive,":[14],"holders":[17],"need":[18],"to":[19,25,53,95,144,176,186,201,210],"consider":[20,128,145],"risks":[21,30,116],"posed":[22,31],"by":[23,32],"access":[24,52],"and":[29,114],"that":[35,178,191],"released.":[37],"The":[38],"first":[39],"problem":[40],"can":[41],"be":[42,220],"considered":[43],"solved:":[44],"there":[45,105,148,165,173,192,226],"multiple":[47],"tested":[48],"solutions":[49],"delivering":[50],"secure":[51,77,102],"sensitive":[54],"for":[56,67,85,136,222],"research":[57],"purposes.":[58],"These":[59],"include":[60],"robust":[61],"'statistical":[62],"disclosure":[63],"control'":[64],"(SDC)":[65],"procedures":[66,82],"checking":[68],"confidentiality":[70],"risk":[71,151,180],"in":[72,243],"outputs":[73],"released":[74],"from":[75,117,152,157],"environment.":[78,103],"However,":[79,124,225],"these":[80,140],"SDC":[81],"designed":[84],"statistical":[86],"outputs.":[87],"It":[88],"not":[90,127],"clear":[91],"how":[92],"they":[93],"relate":[94],"AI":[96,118,154],"model":[97,155],"specification":[98],"created":[99],"within":[100],"Similarly,":[104],"a":[107,158,195,228],"small":[108],"but":[109],"growing":[110],"literature":[111],"re-identification":[113],"other":[115],"personal":[122],"data.":[123],"this":[125],"does":[126],"operational":[130,216],"circumstances":[131],"which":[132,198,218],"might":[133,219],"limit":[134],"opportunities":[135],"misuse.":[137],"We":[138,189],"bring":[139],"two":[141],"fields":[142],"together":[143],"\u2022":[146,161,169],"Is":[147],"any":[149,166],"conceptual":[150],"releasing":[153],"specifications":[156],"controlled":[159],"environment?":[160],"If":[162,170],"so,":[163,171],"practical":[167,179,203],"risk?":[168],"effective":[174],"controls":[175,209,217],"minimise":[177],"without":[181],"excessive":[182],"cost":[183],"or":[184],"damage":[185],"data/models?":[188],"show":[190],"certainly":[194],"theoretical":[196],"risk,":[197,212],"also":[199],"seems":[200],"have":[202],"validity.":[204],"There":[205],"exist":[206],"both":[207],"statistical/technical":[208],"reduce":[211],"as":[213,215,238],"well":[214],"relevant":[221],"restricted":[223],"environments.":[224],"remains":[227],"very":[229],"degree":[231],"of":[232],"uncertainty,":[233],"including":[234],"such":[235],"fundamental":[236],"questions":[237],"what":[239],"exactly":[240],"'disclosive'":[242],"ML":[244],"models.":[245]},"counts_by_year":[{"year":2023,"cited_by_count":2}],"updated_date":"2026-10-16T09:59:22.235173","created_date":"2021-12-06T00:00:00"}