{"id":"https://openalex.org/W3187755835","doi":"https://doi.org/10.1109/icc42927.2021.9500657","title":"GANMIA: GAN-based Black-box Membership Inference Attack","display_name":"GANMIA: GAN-based Black-box Membership Inference Attack","publication_year":2021,"publication_date":"2021-06-01","ids":{"openalex":"https://openalex.org/W3187755835","doi":"https://doi.org/10.1109/icc42927.2021.9500657","mag":"3187755835"},"language":"en","primary_location":{"id":"doi:10.1109/icc42927.2021.9500657","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icc42927.2021.9500657","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICC 2021 - IEEE International Conference on Communications","raw_type":"proceedings-article"},"type":"conference-paper","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/A5044963450","display_name":"Yang Bai","orcid":"https://orcid.org/0000-0003-1918-0462"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Bai","raw_affiliation_strings":["No.30 Institute of CETC, China","School of Computer Science and Engineering, University of Electronic Science and Technology of China, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"No.30 Institute of CETC, China","institution_ids":[]},{"raw_affiliation_string":"School of Computer Science and Engineering, University of Electronic Science and Technology of China, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069347046","display_name":"Degang Chen","orcid":"https://orcid.org/0000-0002-1135-9807"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Degang Chen","raw_affiliation_strings":["School of Computer Science and Engineering, University of Electronic Science and Technology of China, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, University of Electronic Science and Technology of China, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100443178","display_name":"Ting Chen","orcid":"https://orcid.org/0000-0001-9165-8331"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ting Chen","raw_affiliation_strings":["School of Computer Science and Engineering, University of Electronic Science and Technology of China, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, University of Electronic Science and Technology of China, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101450706","display_name":"Mingyu Fan","orcid":"https://orcid.org/0000-0002-4784-6578"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingyu Fan","raw_affiliation_strings":["School of Computer Science and Engineering, University of Electronic Science and Technology of China, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, University of Electronic Science and Technology of China, China","institution_ids":["https://openalex.org/I150229711"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I150229711"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9998999834060669,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9998999834060669,"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/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9983999729156494,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9983000159263611,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7798134684562683},{"id":"https://openalex.org/keywords/black-box","display_name":"Black box","score":0.7444965839385986},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.7321777939796448},{"id":"https://openalex.org/keywords/adversary","display_name":"Adversary","score":0.6468175649642944},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.609551191329956},{"id":"https://openalex.org/keywords/shadow","display_name":"Shadow (psychology)","score":0.5568879246711731},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.555998682975769},{"id":"https://openalex.org/keywords/training","display_name":"Training (meteorology)","score":0.5429953336715698},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4852152168750763},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47688084840774536},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4607160687446594},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.44115686416625977},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.43629270792007446},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.41188156604766846},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.2137378752231598},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.07728448510169983}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7798134684562683},{"id":"https://openalex.org/C94966114","wikidata":"https://www.wikidata.org/wiki/Q29256","display_name":"Black box","level":2,"score":0.7444965839385986},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.7321777939796448},{"id":"https://openalex.org/C41065033","wikidata":"https://www.wikidata.org/wiki/Q2825412","display_name":"Adversary","level":2,"score":0.6468175649642944},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.609551191329956},{"id":"https://openalex.org/C117797892","wikidata":"https://www.wikidata.org/wiki/Q286363","display_name":"Shadow (psychology)","level":2,"score":0.5568879246711731},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.555998682975769},{"id":"https://openalex.org/C2777211547","wikidata":"https://www.wikidata.org/wiki/Q17141490","display_name":"Training (meteorology)","level":2,"score":0.5429953336715698},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4852152168750763},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47688084840774536},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4607160687446594},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.44115686416625977},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.43629270792007446},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.41188156604766846},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.2137378752231598},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.07728448510169983},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C542102704","wikidata":"https://www.wikidata.org/wiki/Q183257","display_name":"Psychotherapist","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icc42927.2021.9500657","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icc42927.2021.9500657","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICC 2021 - IEEE International Conference on Communications","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W581420012","https://openalex.org/W1996939238","https://openalex.org/W2099471712","https://openalex.org/W2173520492","https://openalex.org/W2535690855","https://openalex.org/W2605195953","https://openalex.org/W2610135452","https://openalex.org/W2770173563","https://openalex.org/W2786233556","https://openalex.org/W2793483732","https://openalex.org/W2794022343","https://openalex.org/W2884943453","https://openalex.org/W2888026659","https://openalex.org/W2897842727","https://openalex.org/W2918821272","https://openalex.org/W2930926105","https://openalex.org/W2963378725","https://openalex.org/W2963684088","https://openalex.org/W2963873275","https://openalex.org/W2972280210","https://openalex.org/W2989885118","https://openalex.org/W3045720734","https://openalex.org/W3046208783","https://openalex.org/W3081595899","https://openalex.org/W3103245149","https://openalex.org/W3118608800","https://openalex.org/W4295274059","https://openalex.org/W4320013936","https://openalex.org/W6685352114","https://openalex.org/W6736155344","https://openalex.org/W6746090280","https://openalex.org/W6746638498","https://openalex.org/W6747553010","https://openalex.org/W6752346538","https://openalex.org/W6767315096","https://openalex.org/W6781508659","https://openalex.org/W6782331252","https://openalex.org/W6787972765"],"related_works":["https://openalex.org/W4320018150","https://openalex.org/W2040808657","https://openalex.org/W2918664383","https://openalex.org/W4320855730","https://openalex.org/W106056076","https://openalex.org/W2135200719","https://openalex.org/W4379538695","https://openalex.org/W3211393740","https://openalex.org/W3208049411","https://openalex.org/W3022908591"],"abstract_inverted_index":{"Membership":[0],"inference":[1],"attacks":[2],"(MIAs)":[3],"against":[4],"machine":[5],"learning":[6],"systems":[7],"have":[8],"drawn":[9],"tremendous":[10],"attention":[11],"from":[12],"information":[13,42],"security":[14],"researchers.":[15],"By":[16],"MIA,":[17],"an":[18,23,110],"adversary":[19],"can":[20,66],"speculate":[21],"whether":[22],"individual":[24],"data":[25,46,79,129],"record":[26],"is":[27,47,73],"a":[28,68,83,121,144],"member":[29],"of":[30,98,135,184,194],"the":[31,44,50,56,60,74,77,91,95,113,132,136,140,157,162,168,174,182,185,192],"training":[32,45,78,100,133,169],"set":[33],"or":[34,65],"not.":[35],"Existing":[36],"black-box":[37,141,186],"MIA":[38,111,142,187],"assumes":[39,52],"that":[40,53,181],"much":[41],"about":[43],"available.":[48],"Specifically,":[49],"attacker":[51],"(s)he":[54],"has":[55],"ability":[57],"to":[58,130,160,166],"query":[59],"target":[61,99],"model":[62,138,165],"without":[63],"limitations":[64],"access":[67],"sufficient":[69],"dataset":[70],"whose":[71],"distribution":[72],"same":[75],"as":[76],"set.":[80],"However,":[81],"in":[82,112,116],"realistic":[84,114],"scenario,":[85,115],"MIAs":[86],"usually":[87],"come":[88],"up":[89],"with":[90,191],"limited":[92],"number":[93],"and":[94,154,171],"imbalanced":[96],"proportion":[97],"datasets":[101],"which":[102,126],"cause":[103],"significant":[104],"challenges":[105],"for":[106,139],"MIAs.":[107],"To":[108],"launch":[109],"this":[117],"paper,":[118],"we":[119],"present":[120],"novel":[122],"method":[123],"called":[124],"GANMIA,":[125],"generates":[127],"synthetic":[128,196],"augment":[131],"samples":[134,153,159],"shadow":[137,164],"by":[143,189],"Generative":[145],"Adversarial":[146],"Network":[147],"(GAN).":[148],"GANMIA":[149],"firstly":[150],"augments":[151],"synthesized":[152],"then":[155],"uses":[156],"generated":[158],"train":[161],"given":[163],"increase":[167],"efficiency,":[170],"additionally":[172],"improve":[173],"MIA\u2019s":[175],"performance.":[176],"The":[177],"experimental":[178],"results":[179],"show":[180],"accuracy":[183],"increases":[188],"23%":[190],"help":[193],"our":[195],"data.":[197]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
