{"id":"https://openalex.org/W4392411963","doi":"https://doi.org/10.1109/ijcb57857.2023.10449186","title":"Depth-guided Robust Face Morphing Attack Detection","display_name":"Depth-guided Robust Face Morphing Attack Detection","publication_year":2023,"publication_date":"2023-09-25","ids":{"openalex":"https://openalex.org/W4392411963","doi":"https://doi.org/10.1109/ijcb57857.2023.10449186"},"language":"en","primary_location":{"id":"doi:10.1109/ijcb57857.2023.10449186","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcb57857.2023.10449186","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Joint Conference on Biometrics (IJCB)","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/A5094059547","display_name":"Harsh Rachalwar","orcid":null},"institutions":[{"id":"https://openalex.org/I74796645","display_name":"Birla Institute of Technology and Science, Pilani","ror":"https://ror.org/001p3jz28","country_code":"IN","type":"education","lineage":["https://openalex.org/I74796645"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Harsh Rachalwar","raw_affiliation_strings":["Birla Institute of Technology and Science, Pilani (BITS Pilani),Secunderabad,Telangana,India,500078"],"affiliations":[{"raw_affiliation_string":"Birla Institute of Technology and Science, Pilani (BITS Pilani),Secunderabad,Telangana,India,500078","institution_ids":["https://openalex.org/I74796645"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001243903","display_name":"Meiling Fang","orcid":"https://orcid.org/0000-0002-3058-2553"},"institutions":[{"id":"https://openalex.org/I3019423309","display_name":"Fraunhofer Institute for Computer Graphics Research","ror":"https://ror.org/04gmsar03","country_code":"DE","type":"facility","lineage":["https://openalex.org/I3019423309","https://openalex.org/I4923324"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Meiling Fang","raw_affiliation_strings":["Fraunhofer Institute for Computer Graphics Research IGD,Darmstadt,Germany","Fraunhofer Institute for Computer Graphics Research IGD, Darmstadt, Germany"],"affiliations":[{"raw_affiliation_string":"Fraunhofer Institute for Computer Graphics Research IGD,Darmstadt,Germany","institution_ids":["https://openalex.org/I3019423309"]},{"raw_affiliation_string":"Fraunhofer Institute for Computer Graphics Research IGD, Darmstadt, Germany","institution_ids":["https://openalex.org/I3019423309"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059766088","display_name":"Naser Damer","orcid":"https://orcid.org/0000-0001-7910-7895"},"institutions":[{"id":"https://openalex.org/I3019423309","display_name":"Fraunhofer Institute for Computer Graphics Research","ror":"https://ror.org/04gmsar03","country_code":"DE","type":"facility","lineage":["https://openalex.org/I3019423309","https://openalex.org/I4923324"]},{"id":"https://openalex.org/I31512782","display_name":"Technical University of Darmstadt","ror":"https://ror.org/05n911h24","country_code":"DE","type":"education","lineage":["https://openalex.org/I31512782"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Naser Damer","raw_affiliation_strings":["Fraunhofer Institute for Computer Graphics Research IGD,Darmstadt,Germany","Fraunhofer Institute for Computer Graphics Research IGD, Darmstadt, Germany","Department of Computer Science, TU Darmstadt, Darmstadt, Germany"],"affiliations":[{"raw_affiliation_string":"Fraunhofer Institute for Computer Graphics Research IGD,Darmstadt,Germany","institution_ids":["https://openalex.org/I3019423309"]},{"raw_affiliation_string":"Fraunhofer Institute for Computer Graphics Research IGD, Darmstadt, Germany","institution_ids":["https://openalex.org/I3019423309"]},{"raw_affiliation_string":"Department of Computer Science, TU Darmstadt, Darmstadt, Germany","institution_ids":["https://openalex.org/I31512782"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5025520963","display_name":"Abhijit Das","orcid":"https://orcid.org/0000-0002-6793-0582"},"institutions":[{"id":"https://openalex.org/I74796645","display_name":"Birla Institute of Technology and Science, Pilani","ror":"https://ror.org/001p3jz28","country_code":"IN","type":"education","lineage":["https://openalex.org/I74796645"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Abhijit Das","raw_affiliation_strings":["Birla Institute of Technology and Science, Pilani (BITS Pilani),Secunderabad,Telangana,India,500078"],"affiliations":[{"raw_affiliation_string":"Birla Institute of Technology and Science, Pilani (BITS Pilani),Secunderabad,Telangana,India,500078","institution_ids":["https://openalex.org/I74796645"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5094059547"],"corresponding_institution_ids":["https://openalex.org/I74796645"],"apc_list":null,"apc_paid":null,"fwci":0.8469,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.76391359,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"9"},"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.975600004196167,"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":0.9742000102996826,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/morphing","display_name":"Morphing","score":0.9319732189178467},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6905790567398071},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.689919650554657},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5934610962867737},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5136396288871765},{"id":"https://openalex.org/keywords/face-detection","display_name":"Face detection","score":0.49642425775527954},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.37429943680763245},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.36916226148605347},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.16895908117294312}],"concepts":[{"id":"https://openalex.org/C50637493","wikidata":"https://www.wikidata.org/wiki/Q1136781","display_name":"Morphing","level":2,"score":0.9319732189178467},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6905790567398071},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.689919650554657},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5934610962867737},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5136396288871765},{"id":"https://openalex.org/C4641261","wikidata":"https://www.wikidata.org/wiki/Q11681085","display_name":"Face detection","level":4,"score":0.49642425775527954},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.37429943680763245},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.36916226148605347},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.16895908117294312},{"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}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/ijcb57857.2023.10449186","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcb57857.2023.10449186","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Joint Conference on Biometrics (IJCB)","raw_type":"proceedings-article"},{"id":"pmh:oai:publica.fraunhofer.de:publica/463950","is_oa":false,"landing_page_url":"https://publica.fraunhofer.de/handle/publica/463950","pdf_url":null,"source":{"id":"https://openalex.org/S4306400318","display_name":"Fraunhofer-Publica (Fraunhofer-Gesellschaft)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4923324","host_organization_name":"Fraunhofer-Gesellschaft","host_organization_lineage":["https://openalex.org/I4923324"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"conference paper"},{"id":"pmh:oai:tubiblio.ulb.tu-darmstadt.de:143937","is_oa":false,"landing_page_url":"http://tubiblio.ulb.tu-darmstadt.de/143937/","pdf_url":null,"source":{"id":"https://openalex.org/S4377196390","display_name":"TUbilio (Technical University of Darmstadt)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I31512782","host_organization_name":"Technische Universit\u00e4t Darmstadt","host_organization_lineage":["https://openalex.org/I31512782"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"NonPeerReviewed"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4399999976158142,"display_name":"Climate action","id":"https://metadata.un.org/sdg/13"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W1976230226","https://openalex.org/W2564992459","https://openalex.org/W2617529796","https://openalex.org/W2738882920","https://openalex.org/W2744999500","https://openalex.org/W2900900626","https://openalex.org/W2913787452","https://openalex.org/W2940860112","https://openalex.org/W2963342110","https://openalex.org/W2963656031","https://openalex.org/W2963677766","https://openalex.org/W2969985801","https://openalex.org/W3012534509","https://openalex.org/W3033348698","https://openalex.org/W3034720584","https://openalex.org/W3035459165","https://openalex.org/W3132020661","https://openalex.org/W3154569431","https://openalex.org/W3185801335","https://openalex.org/W3194081779","https://openalex.org/W3194584009","https://openalex.org/W3199528201","https://openalex.org/W3199885658","https://openalex.org/W3211224638","https://openalex.org/W4292828935","https://openalex.org/W4312350135","https://openalex.org/W4317181778","https://openalex.org/W4317181797","https://openalex.org/W4382053123","https://openalex.org/W4386066208","https://openalex.org/W4394466979","https://openalex.org/W6756773722","https://openalex.org/W6779093361"],"related_works":["https://openalex.org/W2127911712","https://openalex.org/W1967587236","https://openalex.org/W2384651879","https://openalex.org/W2336272890","https://openalex.org/W2151699605","https://openalex.org/W4308999381","https://openalex.org/W4312238398","https://openalex.org/W3211418293","https://openalex.org/W4308999963","https://openalex.org/W2133653344"],"abstract_inverted_index":{"Recently,":[0],"morphing":[1,41],"attack":[2],"detection":[3],"(MAD)":[4],"solutions":[5,138],"have":[6],"achieved":[7,21],"remarkable":[8],"success":[9],"with":[10],"the":[11,18,31,67,71,90,113,121,128,133,141,175],"aid":[12],"of":[13,33,70,143,177,183],"deep":[14],"learning":[15],"techniques.":[16],"Despite":[17],"good":[19],"performance":[20],"by":[22,132],"binary":[23,26,82,84],"label":[24],"or":[25],"pixel-wise":[27,85],"supervised":[28],"MAD":[29,105,129,137],"models,":[30],"robustness":[32,185],"such":[34],"models":[35],"drops":[36],"when":[37],"facing":[38],"variations":[39],"in":[40,73,170,181],"attacks.":[42],"In":[43,117],"this":[44],"work,":[45],"we":[46,92,101,119,150],"propose":[47],"a":[48,58,74,103],"novel":[49,104],"process":[50],"that":[51],"leverages":[52],"facial":[53],"depth":[54,64,96,115],"information":[55,111],"to":[56,81,108,125],"build":[57],"robust":[59],"and":[60,83,147,159,186],"generalized":[61],"MAD.":[62],"The":[63,163],"map,":[65],"representing":[66],"3D":[68,95,114],"shape":[69],"face":[72],"2D":[75],"image,":[76],"is":[77],"more":[78],"informative":[79],"compared":[80],"map":[86,97],"labels.":[87],"To":[88],"validate":[89],"idea":[91],"synthetically":[93],"generated":[94],"ground":[98],"truth.":[99],"Furthermore,":[100],"introduce":[102],"architecture":[106],"designed":[107],"capture":[109],"subtle":[110],"from":[112],"data.":[116,162],"addition,":[118],"analyze":[120],"training":[122,157],"loss":[123],"formulation":[124],"further":[126],"enhance":[127],"performance.":[130],"Driven":[131],"need":[134],"for":[135,145],"developing":[136],"while":[139],"preserving":[140],"privacy":[142],"individuals":[144],"legal":[146],"ethical":[148],"reasons,":[149],"conduct":[151],"our":[152,178],"experiments":[153],"on":[154,166],"privacy-friendly":[155],"synthetic":[156],"data":[158],"authentic":[160],"evaluation":[161],"experimental":[164],"results":[165],"existing":[167],"public":[168],"datasets":[169],"SYN-MAD":[171],"22":[172],"competition":[173],"demonstrate":[174],"effectiveness":[176],"proposed":[179],"solution":[180],"terms":[182],"both":[184],"generalization.":[187]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":1}],"updated_date":"2026-03-25T14:56:36.534964","created_date":"2025-10-10T00:00:00"}