{"id":"https://openalex.org/W7137867435","doi":"https://doi.org/10.1609/aaai.v40i6.42453","title":"Realistic Face Reconstruction from Facial Embeddings via Diffusion Models","display_name":"Realistic Face Reconstruction from Facial Embeddings via Diffusion Models","publication_year":2026,"publication_date":"2026-03-14","ids":{"openalex":"https://openalex.org/W7137867435","doi":"https://doi.org/10.1609/aaai.v40i6.42453"},"language":"en","primary_location":{"id":"doi:10.1609/aaai.v40i6.42453","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v40i6.42453","pdf_url":null,"source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://doi.org/10.1609/aaai.v40i6.42453","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Dong Han","orcid":null},"institutions":[{"id":"https://openalex.org/I4210129353","display_name":"Huawei Technologies (Germany)","ror":"https://ror.org/038cdme44","country_code":"DE","type":"company","lineage":["https://openalex.org/I2250955327","https://openalex.org/I4210129353"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Dong Han","raw_affiliation_strings":["Data Protection Technology Lab, Huawei Technologies D\u00fcsseldorf, Germany\nComputer Vision Group, Friedrich Schiller University Jena, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Data Protection Technology Lab, Huawei Technologies D\u00fcsseldorf, Germany\nComputer Vision Group, Friedrich Schiller University Jena, Germany","institution_ids":["https://openalex.org/I4210129353"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Yong Li","orcid":null},"institutions":[{"id":"https://openalex.org/I4210129353","display_name":"Huawei Technologies (Germany)","ror":"https://ror.org/038cdme44","country_code":"DE","type":"company","lineage":["https://openalex.org/I2250955327","https://openalex.org/I4210129353"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Yong Li","raw_affiliation_strings":["Data Protection Technology Lab, Huawei Technologies D\u00fcsseldorf, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Data Protection Technology Lab, Huawei Technologies D\u00fcsseldorf, Germany","institution_ids":["https://openalex.org/I4210129353"]}]},{"author_position":"last","author":{"id":null,"display_name":"Joachim Denzler","orcid":null},"institutions":[{"id":"https://openalex.org/I76198965","display_name":"Friedrich Schiller University Jena","ror":"https://ror.org/05qpz1x62","country_code":"DE","type":"education","lineage":["https://openalex.org/I76198965"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Joachim Denzler","raw_affiliation_strings":["Computer Vision Group, Friedrich Schiller University Jena, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Vision Group, Friedrich Schiller University Jena, Germany","institution_ids":["https://openalex.org/I76198965"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"40","issue":"6","first_page":"4538","last_page":"4546"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":0.9415000081062317,"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"}},"topics":[{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":0.9415000081062317,"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/T10828","display_name":"Biometric Identification and Security","score":0.010999999940395355,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.007000000216066837,"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/robustness","display_name":"Robustness (evolution)","score":0.8059999942779541},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.6583999991416931},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.6345000267028809},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.5936999917030334},{"id":"https://openalex.org/keywords/face-detection","display_name":"Face detection","score":0.42649999260902405},{"id":"https://openalex.org/keywords/popularity","display_name":"Popularity","score":0.4034999907016754},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3767000138759613},{"id":"https://openalex.org/keywords/three-dimensional-face-recognition","display_name":"Three-dimensional face recognition","score":0.3312000036239624}],"concepts":[{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.8059999942779541},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7623000144958496},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6789000034332275},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.6583999991416931},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.6345000267028809},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6074000000953674},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.5936999917030334},{"id":"https://openalex.org/C4641261","wikidata":"https://www.wikidata.org/wiki/Q11681085","display_name":"Face detection","level":4,"score":0.42649999260902405},{"id":"https://openalex.org/C2780586970","wikidata":"https://www.wikidata.org/wiki/Q1357284","display_name":"Popularity","level":2,"score":0.4034999907016754},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3767000138759613},{"id":"https://openalex.org/C88799230","wikidata":"https://www.wikidata.org/wiki/Q3398329","display_name":"Three-dimensional face recognition","level":5,"score":0.3312000036239624},{"id":"https://openalex.org/C54654163","wikidata":"https://www.wikidata.org/wiki/Q5428359","display_name":"Face hallucination","level":5,"score":0.31529998779296875},{"id":"https://openalex.org/C2781170535","wikidata":"https://www.wikidata.org/wiki/Q30587856","display_name":"Noisy data","level":2,"score":0.30309998989105225},{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.29670000076293945},{"id":"https://openalex.org/C123201435","wikidata":"https://www.wikidata.org/wiki/Q456632","display_name":"Information privacy","level":2,"score":0.2858999967575073},{"id":"https://openalex.org/C3017597292","wikidata":"https://www.wikidata.org/wiki/Q25052250","display_name":"Privacy protection","level":2,"score":0.2840000092983246},{"id":"https://openalex.org/C83248878","wikidata":"https://www.wikidata.org/wiki/Q344000","display_name":"Active appearance model","level":3,"score":0.28349998593330383},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.27810001373291016},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2685999870300293},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.2635999917984009},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.2621000111103058}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1609/aaai.v40i6.42453","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v40i6.42453","pdf_url":null,"source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},{"id":"pmh:oai:ojs.aaai.org:article/42453","is_oa":false,"landing_page_url":"https://ojs.aaai.org/index.php/AAAI/article/view/42453","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"2159-5399","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"doi:10.1609/aaai.v40i6.42453","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v40i6.42453","pdf_url":null,"source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.7799391746520996,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"With":[0],"the":[1,58,73,108,112,118],"advancement":[2],"of":[3,47,135,142],"face":[4,9,43,59,122],"recognition":[5,10],"(FR)":[6],"systems,":[7,49],"privacy-preserving":[8],"(PPFR)":[11],"systems":[12,139],"have":[13],"gained":[14],"popularity":[15],"for":[16,51,71,101,132],"their":[17],"accurate":[18],"recognition,":[19],"enhanced":[20],"facial":[21],"privacy":[22,37,143],"protection,":[23],"and":[24,86,120,137],"robustness":[25,113],"to":[26,34],"various":[27],"attacks.":[28],"However,":[29],"there":[30],"are":[31,151],"limited":[32],"studies":[33],"further":[35],"verify":[36,94],"risks":[38],"by":[39,76],"reconstructing":[40,115],"realistic":[41],"high-resolution":[42],"images":[44,146],"from":[45,117,152],"embeddings":[46],"these":[48],"especially":[50],"PPFR.":[52],"In":[53],"this":[54,149],"work,":[55],"we":[56,93],"propose":[57],"embedding":[60],"mapping":[61],"(FEM),":[62],"a":[63,130],"general":[64],"framework":[65],"that":[66,95],"explores":[67],"Kolmogorov-Arnold":[68],"Network":[69],"(KAN)":[70],"conducting":[72],"embedding-to-face":[74],"attack":[75],"leveraging":[77],"pre-trained":[78],"Identity-Preserving":[79],"diffusion":[80],"model":[81],"against":[82],"state-of-the-art":[83],"(SOTA)":[84],"FR":[85,105,136],"PPFR":[87,138],"systems.":[88,106],"Based":[89],"on":[90],"extensive":[91],"experiments,":[92],"reconstructed":[96],"faces":[97,116],"can":[98,126],"be":[99,127],"used":[100,147],"accessing":[102],"other":[103],"real-word":[104],"Besides,":[107],"proposed":[109],"method":[110],"shows":[111],"in":[114,140,148],"partial":[119],"protected":[121],"embeddings.":[123],"Moreover,":[124],"FEM":[125],"utilized":[128],"as":[129],"tool":[131],"evaluating":[133],"safety":[134],"terms":[141],"leakage.":[144],"All":[145],"work":[150],"public":[153],"datasets.":[154]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2026-02-18T00:00:00"}
