{"id":"https://openalex.org/W4386598472","doi":"https://doi.org/10.1109/icip49359.2023.10222312","title":"Blackbox Face Reconstruction from Deep Facial Embeddings Using A Different Face Recognition Model","display_name":"Blackbox Face Reconstruction from Deep Facial Embeddings Using A Different Face Recognition Model","publication_year":2023,"publication_date":"2023-09-11","ids":{"openalex":"https://openalex.org/W4386598472","doi":"https://doi.org/10.1109/icip49359.2023.10222312"},"language":"en","primary_location":{"id":"doi:10.1109/icip49359.2023.10222312","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip49359.2023.10222312","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://infoscience.epfl.ch/handle/20.500.14299/206275","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5042428131","display_name":"Hatef Otroshi Shahreza","orcid":"https://orcid.org/0000-0002-8199-0098"},"institutions":[{"id":"https://openalex.org/I7495430","display_name":"Idiap Research Institute","ror":"https://ror.org/05932h694","country_code":"CH","type":"facility","lineage":["https://openalex.org/I7495430"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Hatef Otroshi Shahreza","raw_affiliation_strings":["Idiap Research Institute,Switzerland","Idiap Research Institute, Switzerland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Idiap Research Institute,Switzerland","institution_ids":["https://openalex.org/I7495430"]},{"raw_affiliation_string":"Idiap Research Institute, Switzerland","institution_ids":["https://openalex.org/I7495430"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016330764","display_name":"S\u00e9bastien Marcel","orcid":"https://orcid.org/0000-0002-2497-9140"},"institutions":[{"id":"https://openalex.org/I7495430","display_name":"Idiap Research Institute","ror":"https://ror.org/05932h694","country_code":"CH","type":"facility","lineage":["https://openalex.org/I7495430"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"S\u00e9bastien Marcel","raw_affiliation_strings":["Idiap Research Institute,Switzerland","Idiap Research Institute, Switzerland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Idiap Research Institute,Switzerland","institution_ids":["https://openalex.org/I7495430"]},{"raw_affiliation_string":"Idiap Research Institute, Switzerland","institution_ids":["https://openalex.org/I7495430"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I7495430"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2435","last_page":"2439"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9969000220298767,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9769999980926514,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8980269432067871},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.762988805770874},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.7443162202835083},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7383152842521667},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7321816682815552},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6550651788711548},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5711271166801453},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5574623346328735},{"id":"https://openalex.org/keywords/three-dimensional-face-recognition","display_name":"Three-dimensional face recognition","score":0.48573142290115356},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.45411351323127747},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.44914984703063965},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.43812233209609985},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3628803491592407},{"id":"https://openalex.org/keywords/face-detection","display_name":"Face detection","score":0.34512317180633545},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.06379473209381104}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8980269432067871},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.762988805770874},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.7443162202835083},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7383152842521667},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7321816682815552},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6550651788711548},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5711271166801453},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5574623346328735},{"id":"https://openalex.org/C88799230","wikidata":"https://www.wikidata.org/wiki/Q3398329","display_name":"Three-dimensional face recognition","level":5,"score":0.48573142290115356},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.45411351323127747},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.44914984703063965},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.43812233209609985},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3628803491592407},{"id":"https://openalex.org/C4641261","wikidata":"https://www.wikidata.org/wiki/Q11681085","display_name":"Face detection","level":4,"score":0.34512317180633545},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.06379473209381104},{"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"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/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icip49359.2023.10222312","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip49359.2023.10222312","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"},{"id":"pmh:oai:infoscience.epfl.ch:309684","is_oa":true,"landing_page_url":"https://infoscience.epfl.ch/handle/20.500.14299/206275","pdf_url":null,"source":{"id":"https://openalex.org/S4306400487","display_name":"Infoscience (Ecole Polytechnique F\u00e9d\u00e9rale de Lausanne)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"conference proceedings"}],"best_oa_location":{"id":"pmh:oai:infoscience.epfl.ch:309684","is_oa":true,"landing_page_url":"https://infoscience.epfl.ch/handle/20.500.14299/206275","pdf_url":null,"source":{"id":"https://openalex.org/S4306400487","display_name":"Infoscience (Ecole Polytechnique F\u00e9d\u00e9rale de Lausanne)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"conference proceedings"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320332999","display_name":"Horizon 2020 Framework Programme","ror":"https://ror.org/00k4n6c32"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1608718905","https://openalex.org/W2005308782","https://openalex.org/W2126237829","https://openalex.org/W2133665775","https://openalex.org/W2419829353","https://openalex.org/W2798724621","https://openalex.org/W2962770929","https://openalex.org/W2963495494","https://openalex.org/W2963812294","https://openalex.org/W2969985801","https://openalex.org/W3014641072","https://openalex.org/W3034607479","https://openalex.org/W3138516171","https://openalex.org/W3199528201","https://openalex.org/W3202967646","https://openalex.org/W3205621936","https://openalex.org/W3213649725","https://openalex.org/W4281787145","https://openalex.org/W4293363567","https://openalex.org/W4308236855","https://openalex.org/W4321609509","https://openalex.org/W6638667902","https://openalex.org/W6717624408","https://openalex.org/W6742897359","https://openalex.org/W6839432000"],"related_works":["https://openalex.org/W2166031825","https://openalex.org/W2918845005","https://openalex.org/W2040482211","https://openalex.org/W2058325696","https://openalex.org/W325114128","https://openalex.org/W4285815683","https://openalex.org/W2336272890","https://openalex.org/W2985118265","https://openalex.org/W4312238398","https://openalex.org/W4308999963"],"abstract_inverted_index":{"Face":[0],"recognition":[1,29,48,81,116],"systems":[2],"generally":[3],"store":[4],"features":[5],"(called":[6],"embeddings)":[7],"extracted":[8,21,97],"from":[9,41,98],"each":[10],"face":[11,39,47,59,80,103,115,134],"image":[12],"during":[13,27],"the":[14,20,24,28,37,46,83,86,93,99,119,138,151],"enrollment":[15],"stage,":[16],"and":[17,61,101,121],"then":[18],"compare":[19],"embeddings":[22,26,43,96],"with":[23,65],"stored":[25,44],"stage.":[30],"In":[31,70],"this":[32],"paper,":[33],"we":[34,72],"focus":[35],"on":[36,118],"blackbox":[38,110],"reconstruction":[40,135],"facial":[42],"in":[45,109,137],"database.":[49],"We":[50,105],"use":[51,73],"a":[52,66,74],"convolutional":[53],"neural":[54],"network":[55,64],"(CNN)":[56],"to":[57,91,149],"reconstruct":[58],"images":[60],"train":[62],"our":[63,107,129,144,154],"multi-term":[67],"loss":[68],"function.":[69],"particular,":[71],"different":[75],"feature":[76],"extractor":[77],"trained":[78],"for":[79],"(which":[82],"adversary":[84],"has":[85],"whitebox":[87],"knowledge":[88],"of":[89,95,143,153],"it)":[90],"minimize":[92],"distance":[94],"original":[100],"reconstructed":[102],"images.":[104],"evaluate":[106],"method":[108,131],"attacks":[111],"against":[112],"five":[113],"state-of-the-art":[114],"models":[117],"MOBIO":[120],"LFW":[122],"datasets.":[123],"Our":[124],"experimental":[125],"results":[126],"show":[127],"that":[128],"proposed":[130],"outperforms":[132],"previous":[133],"methods":[136],"literature.":[139],"The":[140],"source":[141],"code":[142],"experiments":[145],"is":[146],"publicly":[147],"available":[148],"facilitate":[150],"reproducibility":[152],"work.":[155]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
