{"id":"https://openalex.org/W4302362513","doi":"https://doi.org/10.1145/3556548.3559636","title":"BI-GAN","display_name":"BI-GAN","publication_year":2022,"publication_date":"2022-10-06","ids":{"openalex":"https://openalex.org/W4302362513","doi":"https://doi.org/10.1145/3556548.3559636"},"language":"en","primary_location":{"id":"doi:10.1145/3556548.3559636","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3556548.3559636","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 17th ACM Workshop on Mobility in the Evolving Internet Architecture","raw_type":"proceedings-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/A5080997601","display_name":"Hiep Vo","orcid":"https://orcid.org/0000-0002-2709-2924"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Hiep Vo","raw_affiliation_strings":["University of Technology Sydney, Ultimo, NSW, Australia"],"affiliations":[{"raw_affiliation_string":"University of Technology Sydney, Ultimo, NSW, Australia","institution_ids":["https://openalex.org/I114017466"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023880427","display_name":"MingJian Tang","orcid":"https://orcid.org/0000-0003-1179-3942"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Mingjian Tang","raw_affiliation_strings":["University of Technology Sydney, Ultimo, NSW, Australia"],"affiliations":[{"raw_affiliation_string":"University of Technology Sydney, Ultimo, NSW, Australia","institution_ids":["https://openalex.org/I114017466"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081182489","display_name":"Xi Zheng","orcid":"https://orcid.org/0000-0002-2572-2355"},"institutions":[{"id":"https://openalex.org/I99043593","display_name":"Macquarie University","ror":"https://ror.org/01sf06y89","country_code":"AU","type":"education","lineage":["https://openalex.org/I99043593"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Xi (James) Zheng","raw_affiliation_strings":["Macquarie University, NSW, Australia"],"affiliations":[{"raw_affiliation_string":"Macquarie University, NSW, Australia","institution_ids":["https://openalex.org/I99043593"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005228053","display_name":"Shui Yu","orcid":"https://orcid.org/0000-0003-4485-6743"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Shui Yu","raw_affiliation_strings":["University of Technology Sydney, NSW, Australia"],"affiliations":[{"raw_affiliation_string":"University of Technology Sydney, NSW, Australia","institution_ids":["https://openalex.org/I114017466"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5080997601"],"corresponding_institution_ids":["https://openalex.org/I114017466"],"apc_list":null,"apc_paid":null,"fwci":0.2651,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.61644246,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"31","last_page":"36"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9861999750137329,"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/T11609","display_name":"Geophysical Methods and Applications","score":0.9541000127792358,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean 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":0.780799150466919},{"id":"https://openalex.org/keywords/inversion","display_name":"Inversion (geology)","score":0.7424917221069336},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.6194031238555908},{"id":"https://openalex.org/keywords/generative-adversarial-network","display_name":"Generative adversarial network","score":0.4645034968852997},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.453615665435791},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.41063186526298523},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3839437663555145},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.37838080525398254},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.32037097215652466}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.780799150466919},{"id":"https://openalex.org/C1893757","wikidata":"https://www.wikidata.org/wiki/Q3653001","display_name":"Inversion (geology)","level":3,"score":0.7424917221069336},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6194031238555908},{"id":"https://openalex.org/C2988773926","wikidata":"https://www.wikidata.org/wiki/Q25104379","display_name":"Generative adversarial network","level":3,"score":0.4645034968852997},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.453615665435791},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.41063186526298523},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3839437663555145},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37838080525398254},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.32037097215652466},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C109007969","wikidata":"https://www.wikidata.org/wiki/Q749565","display_name":"Structural basin","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3556548.3559636","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3556548.3559636","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 17th ACM Workshop on Mobility in the Evolving Internet Architecture","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.8100000023841858,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W2067098972","https://openalex.org/W2591882872","https://openalex.org/W2950776302","https://openalex.org/W2982302101","https://openalex.org/W3035111702","https://openalex.org/W3045720734","https://openalex.org/W3153523320","https://openalex.org/W3190229640","https://openalex.org/W4301003206"],"related_works":["https://openalex.org/W2502115930","https://openalex.org/W2888032422","https://openalex.org/W2996316059","https://openalex.org/W4385421777","https://openalex.org/W4377980832","https://openalex.org/W2897769091","https://openalex.org/W2845413374","https://openalex.org/W3005996785","https://openalex.org/W4297411772","https://openalex.org/W4235873501"],"abstract_inverted_index":{"Federated":[0],"Learning":[1],"is":[2,76,96],"a":[3,53],"growing":[4],"advanced":[5],"collaborative":[6],"machine":[7],"learning":[8],"framework":[9],"that":[10,58,111],"aims":[11],"to":[12,36,84,125],"preserve":[13],"user-privacy":[14],"data.":[15],"However,":[16],"multiple":[17],"researchers":[18],"have":[19],"investigated":[20],"attack":[21,57,75,113],"methods":[22],"from":[23,42,64],"the":[24,38,91,119],"server":[25],"side":[26],"via":[27],"gradient":[28,69],"inversion":[29,70],"techniques":[30,71],"or":[31],"Generative":[32],"Adversarial":[33],"Networks":[34],"(GAN)":[35],"reconstruct":[37],"raw":[39],"data":[40],"distributions":[41],"users.":[43],"In":[44],"this":[45],"paper,":[46],"we":[47],"propose":[48],"Batch":[49],"Inversion":[50],"GAN":[51],"(BI-GAN),":[52],"novel":[54],"membership":[55],"inference":[56],"can":[59],"recover":[60],"user-level":[61],"batch":[62,103],"images":[63,117],"local":[65],"updates,":[66],"utilizing":[67],"both":[68],"and":[72,86,95,105],"GAN.":[73],"Our":[74],"more":[77,97],"stealthy":[78],"since":[79],"it":[80],"only":[81],"requires":[82],"access":[83],"gradients":[85],"does":[87],"not":[88],"interfere":[89],"with":[90,121],"global":[92],"model":[93],"performance":[94],"robust":[98],"in":[99],"terms":[100],"of":[101,118],"image":[102],"recovery":[104],"victim":[106,120],"classification.":[107],"The":[108],"experiments":[109],"show":[110],"our":[112],"recovers":[114],"higher":[115,122],"quality":[116],"accuracy":[123],"compared":[124],"other":[126],"attacks.":[127]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2022-10-06T00:00:00"}