{"id":"https://openalex.org/W4383571138","doi":"https://doi.org/10.1108/ijwis-03-2023-0050","title":"Output regeneration defense against membership inference attacks for protecting data privacy","display_name":"Output regeneration defense against membership inference attacks for protecting data privacy","publication_year":2023,"publication_date":"2023-07-07","ids":{"openalex":"https://openalex.org/W4383571138","doi":"https://doi.org/10.1108/ijwis-03-2023-0050"},"language":"en","primary_location":{"id":"doi:10.1108/ijwis-03-2023-0050","is_oa":true,"landing_page_url":"https://doi.org/10.1108/ijwis-03-2023-0050","pdf_url":"https://www.emerald.com/insight/content/doi/10.1108/IJWIS-03-2023-0050/full/pdf?title=output-regeneration-defense-against-membership-inference-attacks-for-protecting-data-privacy","source":{"id":"https://openalex.org/S145159096","display_name":"International Journal of Web Information Systems","issn_l":"1744-0084","issn":["1744-0084","1744-0092"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319811","host_organization_name":"Emerald Publishing Limited","host_organization_lineage":["https://openalex.org/P4310319811"],"host_organization_lineage_names":["Emerald Publishing Limited"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Web Information Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://www.emerald.com/insight/content/doi/10.1108/IJWIS-03-2023-0050/full/pdf?title=output-regeneration-defense-against-membership-inference-attacks-for-protecting-data-privacy","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5078775578","display_name":"Yong Ding","orcid":"https://orcid.org/0000-0002-3571-7576"},"institutions":[{"id":"https://openalex.org/I4210136793","display_name":"Peng Cheng Laboratory","ror":"https://ror.org/03qdqbt06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210136793"]},{"id":"https://openalex.org/I5343935","display_name":"Guilin University of Electronic Technology","ror":"https://ror.org/05arjae42","country_code":"CN","type":"education","lineage":["https://openalex.org/I5343935"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yong Ding","raw_affiliation_strings":["Guangxi Key Laboratory of Cryptography and Information Security, Guilin, China; School of Computer Science and Information Security, Guilin University of Electronic Technology, Guilin, China and Department of New Networks, Peng Cheng Laboratory, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guangxi Key Laboratory of Cryptography and Information Security, Guilin, China; School of Computer Science and Information Security, Guilin University of Electronic Technology, Guilin, China and Department of New Networks, Peng Cheng Laboratory, Shenzhen, China","institution_ids":["https://openalex.org/I4210136793","https://openalex.org/I5343935"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102532749","display_name":"Peixiong Huang","orcid":null},"institutions":[{"id":"https://openalex.org/I5343935","display_name":"Guilin University of Electronic Technology","ror":"https://ror.org/05arjae42","country_code":"CN","type":"education","lineage":["https://openalex.org/I5343935"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peixiong Huang","raw_affiliation_strings":["School of Mathematics and Computational Science, Guilin University of Electronic Technology, Guilin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mathematics and Computational Science, Guilin University of Electronic Technology, Guilin, China","institution_ids":["https://openalex.org/I5343935"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055652863","display_name":"Hai Liang","orcid":"https://orcid.org/0000-0002-7369-5398"},"institutions":[{"id":"https://openalex.org/I5343935","display_name":"Guilin University of Electronic Technology","ror":"https://ror.org/05arjae42","country_code":"CN","type":"education","lineage":["https://openalex.org/I5343935"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hai Liang","raw_affiliation_strings":["School of Computer Science and Information Security, Guilin University of Electronic Technology, Guilin, China and Guangxi Key Laboratory of Cryptography and Information Security, Guilin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Information Security, Guilin University of Electronic Technology, Guilin, China and Guangxi Key Laboratory of Cryptography and Information Security, Guilin, China","institution_ids":["https://openalex.org/I5343935"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101221811","display_name":"Fang Yuan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Fang Yuan","raw_affiliation_strings":["Communication Center of the Ministry of Foreign Affairs, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Communication Center of the Ministry of Foreign Affairs, Beijing, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018915353","display_name":"Huiyong Wang","orcid":"https://orcid.org/0000-0001-5886-9647"},"institutions":[{"id":"https://openalex.org/I5343935","display_name":"Guilin University of Electronic Technology","ror":"https://ror.org/05arjae42","country_code":"CN","type":"education","lineage":["https://openalex.org/I5343935"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huiyong Wang","raw_affiliation_strings":["School of Mathematics and Computational Science, Guilin University of Electronic Technology, Guilin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mathematics and Computational Science, Guilin University of Electronic Technology, Guilin, China","institution_ids":["https://openalex.org/I5343935"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3955,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.68119217,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"19","issue":"2","first_page":"61","last_page":"79"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9993000030517578,"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":0.9993000030517578,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9991999864578247,"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":0.9544000029563904,"subfield":{"id":"https://openalex.org/subfields/3311","display_name":"Safety Research"},"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/computer-science","display_name":"Computer science","score":0.8464829325675964},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.6363595128059387},{"id":"https://openalex.org/keywords/privacy-protection","display_name":"Privacy protection","score":0.5718485713005066},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.4805867671966553},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4742257297039032},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.4322136342525482},{"id":"https://openalex.org/keywords/information-privacy","display_name":"Information privacy","score":0.4291380047798157},{"id":"https://openalex.org/keywords/information-leakage","display_name":"Information leakage","score":0.41171523928642273},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2935488224029541}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8464829325675964},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6363595128059387},{"id":"https://openalex.org/C3017597292","wikidata":"https://www.wikidata.org/wiki/Q25052250","display_name":"Privacy protection","level":2,"score":0.5718485713005066},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.4805867671966553},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4742257297039032},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.4322136342525482},{"id":"https://openalex.org/C123201435","wikidata":"https://www.wikidata.org/wiki/Q456632","display_name":"Information privacy","level":2,"score":0.4291380047798157},{"id":"https://openalex.org/C2779201187","wikidata":"https://www.wikidata.org/wiki/Q2775060","display_name":"Information leakage","level":2,"score":0.41171523928642273},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2935488224029541}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1108/ijwis-03-2023-0050","is_oa":true,"landing_page_url":"https://doi.org/10.1108/ijwis-03-2023-0050","pdf_url":"https://www.emerald.com/insight/content/doi/10.1108/IJWIS-03-2023-0050/full/pdf?title=output-regeneration-defense-against-membership-inference-attacks-for-protecting-data-privacy","source":{"id":"https://openalex.org/S145159096","display_name":"International Journal of Web Information Systems","issn_l":"1744-0084","issn":["1744-0084","1744-0092"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319811","host_organization_name":"Emerald Publishing Limited","host_organization_lineage":["https://openalex.org/P4310319811"],"host_organization_lineage_names":["Emerald Publishing Limited"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Web Information Systems","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1108/ijwis-03-2023-0050","is_oa":true,"landing_page_url":"https://doi.org/10.1108/ijwis-03-2023-0050","pdf_url":"https://www.emerald.com/insight/content/doi/10.1108/IJWIS-03-2023-0050/full/pdf?title=output-regeneration-defense-against-membership-inference-attacks-for-protecting-data-privacy","source":{"id":"https://openalex.org/S145159096","display_name":"International Journal of Web Information Systems","issn_l":"1744-0084","issn":["1744-0084","1744-0092"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319811","host_organization_name":"Emerald Publishing Limited","host_organization_lineage":["https://openalex.org/P4310319811"],"host_organization_lineage_names":["Emerald Publishing Limited"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Web Information Systems","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.7599999904632568,"display_name":"Peace, Justice and strong institutions"}],"awards":[{"id":"https://openalex.org/G3038143648","display_name":null,"funder_award_id":"62172119","funder_id":"https://openalex.org/F4320322768","funder_display_name":"Natural Science Foundation of Guangxi Province"},{"id":"https://openalex.org/G4292803698","display_name":null,"funder_award_id":"2019GXNSFGA245004","funder_id":"https://openalex.org/F4320322768","funder_display_name":"Natural Science Foundation of Guangxi Province"},{"id":"https://openalex.org/G7599020998","display_name":null,"funder_award_id":"PCL2021A09","funder_id":"https://openalex.org/F4320322768","funder_display_name":"Natural Science Foundation of Guangxi Province"},{"id":"https://openalex.org/G8547671144","display_name":null,"funder_award_id":"PCL2021A02","funder_id":"https://openalex.org/F4320322768","funder_display_name":"Natural Science Foundation of Guangxi Province"}],"funders":[{"id":"https://openalex.org/F4320322768","display_name":"Natural Science Foundation of Guangxi Province","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4383571138.pdf","grobid_xml":"https://content.openalex.org/works/W4383571138.grobid-xml"},"referenced_works_count":21,"referenced_works":["https://openalex.org/W1686810756","https://openalex.org/W2194775991","https://openalex.org/W2435090885","https://openalex.org/W2511730936","https://openalex.org/W2532781556","https://openalex.org/W2535690855","https://openalex.org/W2795435272","https://openalex.org/W2807096445","https://openalex.org/W2884943453","https://openalex.org/W2976822050","https://openalex.org/W2982399380","https://openalex.org/W2995201943","https://openalex.org/W3071470454","https://openalex.org/W3115042282","https://openalex.org/W3120061366","https://openalex.org/W3129292557","https://openalex.org/W3138815606","https://openalex.org/W3157827552","https://openalex.org/W4285130686","https://openalex.org/W4285290202","https://openalex.org/W4312596674"],"related_works":["https://openalex.org/W2499478834","https://openalex.org/W2369941578","https://openalex.org/W4281627911","https://openalex.org/W2359303768","https://openalex.org/W4231784909","https://openalex.org/W2788858259","https://openalex.org/W2148236631","https://openalex.org/W4292947421","https://openalex.org/W3133515831","https://openalex.org/W2007322420"],"abstract_inverted_index":{"Purpose":[0],"Recently,":[1],"deep":[2],"learning":[3],"(DL)":[4],"has":[5,198],"been":[6],"widely":[7],"applied":[8],"in":[9,60,143,185],"various":[10],"aspects":[11],"of":[12,28,64,71,121,148],"human":[13],"endeavors.":[14],"However,":[15],"studies":[16],"have":[17],"shown":[18],"that":[19,98,136],"DL":[20,48],"models":[21],"may":[22],"also":[23],"be":[24],"a":[25,65,77,109,158,199],"primary":[26],"cause":[27],"data":[29,34,57,63,85,171,209],"leakage,":[30],"which":[31],"raises":[32],"new":[33],"privacy":[35,46,167,172,210],"concerns.":[36],"Membership":[37],"inference":[38],"attacks":[39],"(MIAs)":[40],"are":[41,155],"prominent":[42],"threats":[43],"to":[44,75,92,108,150,181,207],"user":[45],"from":[47,128],"model":[49],"training":[50,62,131],"data,":[51],"as":[52,157],"attackers":[53,127],"investigate":[54],"whether":[55],"specific":[56],"samples":[58],"exist":[59],"the":[61,69,101,106,119,130,137,145,162,203],"target":[66],"model.":[67],"Therefore,":[68,202],"aim":[70],"this":[72],"study":[73],"is":[74,91,141,178,195],"develop":[76],"method":[78,97,140,164,177,194,204],"for":[79],"defending":[80],"against":[81,183],"MIAs":[82,149,154],"and":[83,169,197],"protecting":[84],"privacy.":[86],"Design/methodology/approach":[87],"One":[88],"possible":[89],"solution":[90],"propose":[93],"an":[94],"MIA":[95,184,192],"defense":[96,139,193],"involves":[99],"adjusting":[100],"model\u2019s":[102],"output":[103,107],"by":[104],"mapping":[105],"distribution":[110],"with":[111],"equal":[112],"probability":[113],"density.":[114],"This":[115],"approach":[116],"effectively":[117,165],"preserves":[118],"accuracy":[120,147],"classification":[122,146,160,187],"predictions":[123],"while":[124],"simultaneously":[125],"preventing":[126],"identifying":[129],"data.":[132],"Findings":[133],"Experiments":[134],"demonstrate":[135],"proposed":[138,163,191],"effective":[142,196],"reducing":[144],"below":[151],"50%.":[152],"Because":[153],"viewed":[156],"binary":[159],"model,":[161],"prevents":[166],"leakage":[168],"improves":[170],"protection.":[173],"Research":[174],"limitations/implications":[175],"The":[176,190],"only":[179],"designed":[180],"defend":[182],"black-box":[186],"models.":[188],"Originality/value":[189],"low":[200],"cost.":[201],"enables":[205],"us":[206],"protect":[208],"without":[211],"incurring":[212],"significant":[213],"additional":[214],"expenses.":[215]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}
