{"id":"https://openalex.org/W4412624393","doi":"https://doi.org/10.1109/tifs.2025.3592542","title":"FGMIA: Feature-Guided Model Inversion Attacks Against Face Recognition Models","display_name":"FGMIA: Feature-Guided Model Inversion Attacks Against Face Recognition Models","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4412624393","doi":"https://doi.org/10.1109/tifs.2025.3592542"},"language":"en","primary_location":{"id":"doi:10.1109/tifs.2025.3592542","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tifs.2025.3592542","pdf_url":null,"source":{"id":"https://openalex.org/S61310614","display_name":"IEEE Transactions on Information Forensics and Security","issn_l":"1556-6013","issn":["1556-6013","1556-6021"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["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 Information Forensics and Security","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":null,"display_name":"Ye Lu","orcid":"https://orcid.org/0009-0002-3068-475X"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ye Lu","raw_affiliation_strings":["School of Cyberspace Science, Harbin Institute of Technology, Harbin, China"],"raw_orcid":"https://orcid.org/0009-0002-3068-475X","affiliations":[{"raw_affiliation_string":"School of Cyberspace Science, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100377071","display_name":"Shen Wang","orcid":"https://orcid.org/0000-0002-5748-5438"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shen Wang","raw_affiliation_strings":["School of Cyberspace Science, Harbin Institute of Technology, Harbin, China"],"raw_orcid":"https://orcid.org/0000-0002-5748-5438","affiliations":[{"raw_affiliation_string":"School of Cyberspace Science, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091556887","display_name":"Guopu Zhu","orcid":"https://orcid.org/0000-0001-7956-5343"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guopu Zhu","raw_affiliation_strings":["School of Cyberspace Science, Harbin Institute of Technology, Harbin, China"],"raw_orcid":"https://orcid.org/0000-0001-7956-5343","affiliations":[{"raw_affiliation_string":"School of Cyberspace Science, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055638501","display_name":"Z.Q. Zhang","orcid":"https://orcid.org/0009-0009-3611-7060"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhaoyang Zhang","raw_affiliation_strings":["School of Cyberspace Science, Harbin Institute of Technology, Harbin, China"],"raw_orcid":"https://orcid.org/0009-0009-3611-7060","affiliations":[{"raw_affiliation_string":"School of Cyberspace Science, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5047964483","display_name":"Jiwu Huang","orcid":"https://orcid.org/0000-0002-7625-5689"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]},{"id":"https://openalex.org/I4388482657","display_name":"Shenzhen MSU-BIT University","ror":"https://ror.org/02q963474","country_code":null,"type":"education","lineage":["https://openalex.org/I4388482657"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiwu Huang","raw_affiliation_strings":["Guangdong Laboratory of Machine Perception and Intelligent Computing, Faculty of Engineering, Shenzhen MSU-BIT University, Shenzhen, China","Faculty of Engineering, Guangdong Laboratory of Machine Perception and Intelligent Computing, Shenzhen MSU-BIT University, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0002-7625-5689","affiliations":[{"raw_affiliation_string":"Guangdong Laboratory of Machine Perception and Intelligent Computing, Faculty of Engineering, Shenzhen MSU-BIT University, Shenzhen, China","institution_ids":["https://openalex.org/I4388482657"]},{"raw_affiliation_string":"Faculty of Engineering, Guangdong Laboratory of Machine Perception and Intelligent Computing, Shenzhen MSU-BIT University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961","https://openalex.org/I4388482657"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.08606854,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"20","issue":null,"first_page":"8465","last_page":"8480"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9855999946594238,"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":0.9855999946594238,"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/T11448","display_name":"Face recognition and analysis","score":0.9509999752044678,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T14510","display_name":"Medical Imaging and Analysis","score":0.9099000096321106,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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":0.812812089920044},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.565636396408081},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.532835841178894},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.496006578207016},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.48877784609794617},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.48766863346099854},{"id":"https://openalex.org/keywords/inversion","display_name":"Inversion (geology)","score":0.45597586035728455},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.43206435441970825},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.08690145611763}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.812812089920044},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.565636396408081},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.532835841178894},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.496006578207016},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.48877784609794617},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.48766863346099854},{"id":"https://openalex.org/C1893757","wikidata":"https://www.wikidata.org/wiki/Q3653001","display_name":"Inversion (geology)","level":3,"score":0.45597586035728455},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.43206435441970825},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.08690145611763},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"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},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tifs.2025.3592542","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tifs.2025.3592542","pdf_url":null,"source":{"id":"https://openalex.org/S61310614","display_name":"IEEE Transactions on Information Forensics and Security","issn_l":"1556-6013","issn":["1556-6013","1556-6021"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["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 Information Forensics and Security","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2060695898","display_name":null,"funder_award_id":"62172402","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3445562932","display_name":null,"funder_award_id":"LH2024F023","funder_id":"https://openalex.org/F4320323085","funder_display_name":"Natural Science Foundation of Heilongjiang Province"},{"id":"https://openalex.org/G5681518","display_name":null,"funder_award_id":"62472128","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6874605992","display_name":null,"funder_award_id":"JCKY2023603C043","funder_id":"https://openalex.org/F4320335833","funder_display_name":"National Defense Basic Scientific Research Program 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/F4320323085","display_name":"Natural Science Foundation of Heilongjiang Province","ror":null},{"id":"https://openalex.org/F4320335833","display_name":"National Defense Basic Scientific Research Program of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":76,"referenced_works":["https://openalex.org/W1834627138","https://openalex.org/W1950843348","https://openalex.org/W2051267297","https://openalex.org/W2096733369","https://openalex.org/W2145287260","https://openalex.org/W2194775991","https://openalex.org/W2780958074","https://openalex.org/W2789304371","https://openalex.org/W2797558164","https://openalex.org/W2962770929","https://openalex.org/W2962785568","https://openalex.org/W2962898354","https://openalex.org/W2963377935","https://openalex.org/W2963446712","https://openalex.org/W2963466847","https://openalex.org/W2963839617","https://openalex.org/W2969985801","https://openalex.org/W3003301247","https://openalex.org/W3035574324","https://openalex.org/W3035616549","https://openalex.org/W3043638540","https://openalex.org/W3087845270","https://openalex.org/W3138516171","https://openalex.org/W3167584510","https://openalex.org/W3179862281","https://openalex.org/W3185801335","https://openalex.org/W3206872301","https://openalex.org/W4206199121","https://openalex.org/W4206426144","https://openalex.org/W4229820657","https://openalex.org/W4312307529","https://openalex.org/W4312769845","https://openalex.org/W4312933868","https://openalex.org/W4313156423","https://openalex.org/W4380362251","https://openalex.org/W4382450048","https://openalex.org/W4384027004","https://openalex.org/W4384499025","https://openalex.org/W4385245566","https://openalex.org/W4385589237","https://openalex.org/W4386076307","https://openalex.org/W4386076651","https://openalex.org/W4386453636","https://openalex.org/W4391953516","https://openalex.org/W4392450548","https://openalex.org/W4393140548","https://openalex.org/W4404624490","https://openalex.org/W4405517522","https://openalex.org/W4405812492","https://openalex.org/W4410290121","https://openalex.org/W6637373629","https://openalex.org/W6681239517","https://openalex.org/W6684191040","https://openalex.org/W6717624408","https://openalex.org/W6739076403","https://openalex.org/W6746775625","https://openalex.org/W6748655329","https://openalex.org/W6749927861","https://openalex.org/W6760759230","https://openalex.org/W6764838729","https://openalex.org/W6765779288","https://openalex.org/W6775078712","https://openalex.org/W6775563089","https://openalex.org/W6779823529","https://openalex.org/W6786375611","https://openalex.org/W6795938332","https://openalex.org/W6803590529","https://openalex.org/W6803903061","https://openalex.org/W6803951002","https://openalex.org/W6857636403","https://openalex.org/W6858750646","https://openalex.org/W6861516229","https://openalex.org/W6862044034","https://openalex.org/W6873451980","https://openalex.org/W6873514527","https://openalex.org/W6929210410"],"related_works":["https://openalex.org/W1980470275","https://openalex.org/W2086322839","https://openalex.org/W2344971351","https://openalex.org/W2363509351","https://openalex.org/W2377084220","https://openalex.org/W1990581988","https://openalex.org/W2384206310","https://openalex.org/W2132337154","https://openalex.org/W2384651879","https://openalex.org/W2985118265"],"abstract_inverted_index":{"Model":[0,95],"Inversion":[1,96],"Attacks":[2],"(MIAs)":[3],"against":[4],"face":[5,167],"recognition":[6,18,168],"systems":[7],"aim":[8],"to":[9,41,66,150,179],"reconstruct":[10],"facial":[11,102],"images":[12,61],"of":[13,28,46,130,154],"specific":[14],"individuals":[15],"from":[16,166],"the":[17,25,42,50,54,67,78,101,116,128,137,143,152],"models.":[19],"Existing":[20],"MIA":[21],"approaches":[22],"commonly":[23],"optimize":[24],"latent":[26,47],"variables":[27],"Generative":[29],"Adversarial":[30],"Networks":[31],"(GANs)":[32],"iteratively,":[33],"which":[34,99,124],"can":[35],"result":[36],"in":[37,142],"non-smooth":[38],"optimizations":[39],"due":[40],"complexity":[43],"and":[44,105,148,170,175],"entanglement":[45],"space.":[48],"Furthermore,":[49],"optimization":[51],"guided":[52],"by":[53,76],"target":[55,68,118,144,185],"model\u2019s":[56],"gradients":[57],"may":[58],"generate":[59],"high-confidence":[60],"with":[62],"poor":[63],"perceptual":[64,176],"similarity":[65,177],"class.":[69],"This":[70],"paper":[71],"introduces":[72],"a":[73,82,93,110,121,131],"novel":[74],"perspective":[75],"reformulating":[77],"inversion":[79],"attack":[80],"as":[81,109,120],"conditional":[83,111],"data":[84,103,165],"distribution":[85,104],"learning":[86],"task.":[87],"Based":[88],"on":[89],"this,":[90],"we":[91,114],"propose":[92],"Feature-Guided":[94],"Attack":[97],"(FGMIA),":[98],"learns":[100],"integrates":[106],"feature":[107,122,139],"guidance":[108,126],"signal.":[112],"Specifically,":[113],"treat":[115],"deconstructed":[117],"model":[119,145],"encoder,":[123],"provides":[125],"during":[127],"training":[129],"specialized":[132],"feature-guided":[133],"diffusion":[134],"model.":[135],"During":[136],"attack,":[138],"encodings":[140],"implicit":[141],"are":[146],"extracted":[147],"utilized":[149],"guide":[151],"reconstruction":[153],"private":[155,164],"data.":[156],"Extensive":[157],"experiments":[158],"demonstrate":[159],"that":[160],"FGMIA":[161],"accurately":[162],"reconstructs":[163],"models":[169],"significantly":[171],"improves":[172],"evaluation":[173],"accuracy":[174],"compared":[178],"state-of-the-art":[180],"methods":[181],"while":[182],"maintaining":[183],"comparable":[184],"confidence":[186],"scores.":[187],"Our":[188],"code":[189],"is":[190],"available":[191],"at":[192],"https://github.com/MMCTTT/FGMIA_codes.":[193]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}