{"id":"https://openalex.org/W7128434840","doi":"https://doi.org/10.1186/s13635-026-00227-9","title":"IDSwapMAD: towards privacy-friendly training of differential face morphing attack detection","display_name":"IDSwapMAD: towards privacy-friendly training of differential face morphing attack detection","publication_year":2026,"publication_date":"2026-02-09","ids":{"openalex":"https://openalex.org/W7128434840","doi":"https://doi.org/10.1186/s13635-026-00227-9"},"language":"en","primary_location":{"id":"doi:10.1186/s13635-026-00227-9","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13635-026-00227-9","pdf_url":null,"source":{"id":"https://openalex.org/S5407056161","display_name":"Journal on Information Security","issn_l":"3091-4515","issn":["3091-4515"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal on Information Security","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1186/s13635-026-00227-9","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5125453481","display_name":"Adrian Banas","orcid":null},"institutions":[{"id":"https://openalex.org/I129643931","display_name":"Berliner Hochschule f\u00fcr Technik","ror":"https://ror.org/00w7whj55","country_code":"DE","type":"education","lineage":["https://openalex.org/I129643931"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Adrian Banas","raw_affiliation_strings":["University of Applied Sciences Berlin, Berlin, Germany","secunet Security Networks, Essen, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Applied Sciences Berlin, Berlin, Germany","institution_ids":["https://openalex.org/I129643931"]},{"raw_affiliation_string":"secunet Security Networks, Essen, Germany","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5122866188","display_name":"C. Rathgeb","orcid":null},"institutions":[{"id":"https://openalex.org/I107257983","display_name":"Darmstadt University of Applied Sciences","ror":"https://ror.org/047wbd030","country_code":"DE","type":"education","lineage":["https://openalex.org/I107257983"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Christian Rathgeb","raw_affiliation_strings":["Hochschule Darmstadt, Darmstadt, Germany","secunet Security Networks, Essen, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hochschule Darmstadt, Darmstadt, Germany","institution_ids":["https://openalex.org/I107257983"]},{"raw_affiliation_string":"secunet Security Networks, Essen, Germany","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075955550","display_name":"Johannes Merkle","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Johannes Merkle","raw_affiliation_strings":["secunet Security Networks, Essen, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"secunet Security Networks, Essen, Germany","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004836766","display_name":"Maxim Schaubert","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Maxim Schaubert","raw_affiliation_strings":["secunet Security Networks, Essen, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"secunet Security Networks, Essen, Germany","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5122866188"],"corresponding_institution_ids":["https://openalex.org/I107257983"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.19554776,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"2026","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":0.8955000042915344,"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":0.8955000042915344,"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":0.02250000089406967,"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/T10057","display_name":"Face and Expression Recognition","score":0.01590000092983246,"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/morphing","display_name":"Morphing","score":0.944599986076355},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.5570999979972839},{"id":"https://openalex.org/keywords/training","display_name":"Training (meteorology)","score":0.550599992275238},{"id":"https://openalex.org/keywords/differential","display_name":"Differential (mechanical device)","score":0.5220000147819519},{"id":"https://openalex.org/keywords/synthetic-data","display_name":"Synthetic data","score":0.4977000057697296},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.47749999165534973},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.42149999737739563}],"concepts":[{"id":"https://openalex.org/C50637493","wikidata":"https://www.wikidata.org/wiki/Q1136781","display_name":"Morphing","level":2,"score":0.944599986076355},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7192000150680542},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7006000280380249},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6047000288963318},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.5570999979972839},{"id":"https://openalex.org/C2777211547","wikidata":"https://www.wikidata.org/wiki/Q17141490","display_name":"Training (meteorology)","level":2,"score":0.550599992275238},{"id":"https://openalex.org/C93226319","wikidata":"https://www.wikidata.org/wiki/Q193137","display_name":"Differential (mechanical device)","level":2,"score":0.5220000147819519},{"id":"https://openalex.org/C160920958","wikidata":"https://www.wikidata.org/wiki/Q7662746","display_name":"Synthetic data","level":2,"score":0.4977000057697296},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.47749999165534973},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.42149999737739563},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.38420000672340393},{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.34860000014305115},{"id":"https://openalex.org/C2988773926","wikidata":"https://www.wikidata.org/wiki/Q25104379","display_name":"Generative adversarial network","level":3,"score":0.3167000114917755},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.28630000352859497},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.2815999984741211},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.2736999988555908},{"id":"https://openalex.org/C4641261","wikidata":"https://www.wikidata.org/wiki/Q11681085","display_name":"Face detection","level":4,"score":0.25949999690055847},{"id":"https://openalex.org/C74750220","wikidata":"https://www.wikidata.org/wiki/Q2662197","display_name":"Differential evolution","level":2,"score":0.257999986410141}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1186/s13635-026-00227-9","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13635-026-00227-9","pdf_url":null,"source":{"id":"https://openalex.org/S5407056161","display_name":"Journal on Information Security","issn_l":"3091-4515","issn":["3091-4515"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal on Information Security","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1186/s13635-026-00227-9","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13635-026-00227-9","pdf_url":null,"source":{"id":"https://openalex.org/S5407056161","display_name":"Journal on Information Security","issn_l":"3091-4515","issn":["3091-4515"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal on Information Security","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.5033100843429565,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W1976230226","https://openalex.org/W2137659841","https://openalex.org/W2759430372","https://openalex.org/W2783693055","https://openalex.org/W2902998115","https://openalex.org/W2913239513","https://openalex.org/W2963839617","https://openalex.org/W2969985801","https://openalex.org/W3024925547","https://openalex.org/W3034431451","https://openalex.org/W3034552680","https://openalex.org/W3104300620","https://openalex.org/W3120485916","https://openalex.org/W3169129566","https://openalex.org/W3184140378","https://openalex.org/W3185929652","https://openalex.org/W4205377697","https://openalex.org/W4210699789","https://openalex.org/W4232109309","https://openalex.org/W4234721781","https://openalex.org/W4282821833","https://openalex.org/W4292828935","https://openalex.org/W4297337076","https://openalex.org/W4312402191","https://openalex.org/W4319300278","https://openalex.org/W4376127652","https://openalex.org/W4381661247","https://openalex.org/W4386083096","https://openalex.org/W4390190198","https://openalex.org/W4391582461","https://openalex.org/W4398137577","https://openalex.org/W4399203345","https://openalex.org/W4400527548","https://openalex.org/W4404239047","https://openalex.org/W4404239164","https://openalex.org/W4404239175","https://openalex.org/W4404893185","https://openalex.org/W4408181559","https://openalex.org/W4408459025","https://openalex.org/W4409944981"],"related_works":[],"abstract_inverted_index":{"Abstract":[0],"Privacy":[1],"regulations":[2],"and":[3,112,131,152],"ethical":[4],"concerns":[5],"have":[6],"encouraged":[7],"the":[8,15,22,28,52,103,129,145],"use":[9],"of":[10,17,25,54,101,109,128],"privacy-friendly":[11,81,153],"synthetic":[12,30,98],"data":[13,83],"for":[14,51,79,84,155],"training":[16,53,82,156],"facial":[18,65,99],"analysis":[19],"systems.":[20],"However,":[21],"automated":[23],"generation":[24],"images":[26,100,114,133],"depicting":[27],"same":[29],"subject":[31],"in":[32,64],"different":[33],"environmental":[34],"scenarios":[35],"remains":[36],"challenging,":[37],"as":[38,75],"identity-related":[39,137],"features":[40,66,138],"may":[41],"not":[42],"be":[43],"accurately":[44],"preserved.":[45],"This":[46,71],"is":[47,94,142,149,163],"a":[48,76,90,119,167],"severe":[49],"issue":[50],"differential":[55,85,157],"morphing":[56,69],"attack":[57],"detection":[58,161],"(MAD)":[59],"algorithms,":[60],"where":[61],"subtle":[62],"differences":[63],"can":[67],"indicate":[68],"attacks.":[70],"work":[72],"introduces":[73],"IDSwapMAD":[74,147],"new":[77],"way":[78],"generating":[80],"MAD":[86,158,169],"methods.":[87],"In":[88,123],"detail,":[89],"generative":[91],"adversarial":[92],"network":[93],"employed":[95],"to":[96],"generate":[97],"which":[102],"faces":[104],"are":[105,134,139],"swapped":[106],"with":[107,166],"pairs":[108],"real":[110,173],"reference":[111,130],"probe":[113,132],"containing":[115],"variations":[116],"that":[117,144],"mimic":[118],"border":[120],"control":[121],"scenario.":[122],"this":[124],"way,":[125],"style-related":[126],"properties":[127],"retained,":[135],"while":[136],"replaced.":[140],"It":[141],"shown":[143],"proposed":[146],"technique":[148],"an":[150],"effective":[151],"strategy":[154],"methods,":[159],"whose":[160],"performance":[162],"on":[164,172],"par":[165],"state-of-the-art":[168],"method":[170],"trained":[171],"data.":[174]},"counts_by_year":[],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2026-02-10T00:00:00"}