{"id":"https://openalex.org/W4404239378","doi":"https://doi.org/10.1109/ijcb62174.2024.10744455","title":"Privacy-Safe Iris Presentation Attack Detection","display_name":"Privacy-Safe Iris Presentation Attack Detection","publication_year":2024,"publication_date":"2024-09-15","ids":{"openalex":"https://openalex.org/W4404239378","doi":"https://doi.org/10.1109/ijcb62174.2024.10744455"},"language":"en","primary_location":{"id":"doi:10.1109/ijcb62174.2024.10744455","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/ijcb62174.2024.10744455","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 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/A5093047595","display_name":"Mahsa Mitcheff","orcid":null},"institutions":[{"id":"https://openalex.org/I107639228","display_name":"University of Notre Dame","ror":"https://ror.org/00mkhxb43","country_code":"US","type":"education","lineage":["https://openalex.org/I107639228"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mahsa Mitcheff","raw_affiliation_strings":["University of Notre Dame,384 Fitzpatrick Hall of Engineering,IN,USA,46556"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Notre Dame,384 Fitzpatrick Hall of Engineering,IN,USA,46556","institution_ids":["https://openalex.org/I107639228"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060214213","display_name":"Patrick Tinsley","orcid":"https://orcid.org/0000-0002-4564-4673"},"institutions":[{"id":"https://openalex.org/I107639228","display_name":"University of Notre Dame","ror":"https://ror.org/00mkhxb43","country_code":"US","type":"education","lineage":["https://openalex.org/I107639228"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Patrick Tinsley","raw_affiliation_strings":["University of Notre Dame,384 Fitzpatrick Hall of Engineering,IN,USA,46556"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Notre Dame,384 Fitzpatrick Hall of Engineering,IN,USA,46556","institution_ids":["https://openalex.org/I107639228"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5067121774","display_name":"Adam Czajka","orcid":"https://orcid.org/0000-0003-2379-2533"},"institutions":[{"id":"https://openalex.org/I107639228","display_name":"University of Notre Dame","ror":"https://ror.org/00mkhxb43","country_code":"US","type":"education","lineage":["https://openalex.org/I107639228"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Adam Czajka","raw_affiliation_strings":["University of Notre Dame,384 Fitzpatrick Hall of Engineering,IN,USA,46556"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Notre Dame,384 Fitzpatrick Hall of Engineering,IN,USA,46556","institution_ids":["https://openalex.org/I107639228"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3057,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.55249351,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"10"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10828","display_name":"Biometric Identification and Security","score":0.9861999750137329,"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"}},"topics":[{"id":"https://openalex.org/T10828","display_name":"Biometric Identification and Security","score":0.9861999750137329,"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/computer-science","display_name":"Computer science","score":0.7256922721862793},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.6484789848327637},{"id":"https://openalex.org/keywords/iris","display_name":"IRIS (biosensor)","score":0.5862827301025391},{"id":"https://openalex.org/keywords/presentation","display_name":"Presentation (obstetrics)","score":0.5594947934150696},{"id":"https://openalex.org/keywords/internet-privacy","display_name":"Internet privacy","score":0.5544037818908691},{"id":"https://openalex.org/keywords/iris-recognition","display_name":"Iris recognition","score":0.472678005695343},{"id":"https://openalex.org/keywords/information-privacy","display_name":"Information privacy","score":0.4288621246814728},{"id":"https://openalex.org/keywords/biometrics","display_name":"Biometrics","score":0.30933964252471924},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.07975992560386658}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7256922721862793},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.6484789848327637},{"id":"https://openalex.org/C2779503344","wikidata":"https://www.wikidata.org/wiki/Q5973514","display_name":"IRIS (biosensor)","level":3,"score":0.5862827301025391},{"id":"https://openalex.org/C2777601897","wikidata":"https://www.wikidata.org/wiki/Q3409113","display_name":"Presentation (obstetrics)","level":2,"score":0.5594947934150696},{"id":"https://openalex.org/C108827166","wikidata":"https://www.wikidata.org/wiki/Q175975","display_name":"Internet privacy","level":1,"score":0.5544037818908691},{"id":"https://openalex.org/C112356035","wikidata":"https://www.wikidata.org/wiki/Q1672722","display_name":"Iris recognition","level":3,"score":0.472678005695343},{"id":"https://openalex.org/C123201435","wikidata":"https://www.wikidata.org/wiki/Q456632","display_name":"Information privacy","level":2,"score":0.4288621246814728},{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.30933964252471924},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.07975992560386658},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcb62174.2024.10744455","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/ijcb62174.2024.10744455","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Joint Conference on Biometrics (IJCB)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W398859631","https://openalex.org/W2024178148","https://openalex.org/W2065059212","https://openalex.org/W2083231836","https://openalex.org/W2092389652","https://openalex.org/W2627044814","https://openalex.org/W2787293095","https://openalex.org/W2901982039","https://openalex.org/W2904606808","https://openalex.org/W2963446712","https://openalex.org/W2964009128","https://openalex.org/W2964253184","https://openalex.org/W2969411844","https://openalex.org/W2996129374","https://openalex.org/W3048700387","https://openalex.org/W3080978033","https://openalex.org/W3094502228","https://openalex.org/W3120110650","https://openalex.org/W3120866375","https://openalex.org/W3207211939","https://openalex.org/W4312933868","https://openalex.org/W4316925056","https://openalex.org/W4319299808","https://openalex.org/W4320013936","https://openalex.org/W4321609542","https://openalex.org/W4376460968","https://openalex.org/W4385801440","https://openalex.org/W4390047301","https://openalex.org/W4392411856","https://openalex.org/W4392411888","https://openalex.org/W4392411943","https://openalex.org/W4394841960","https://openalex.org/W6679045638","https://openalex.org/W6779093361"],"related_works":["https://openalex.org/W2162640687","https://openalex.org/W2018223046","https://openalex.org/W2759939383","https://openalex.org/W2294693339","https://openalex.org/W2952386695","https://openalex.org/W2355560018","https://openalex.org/W2147209541","https://openalex.org/W4231710054","https://openalex.org/W2557390811","https://openalex.org/W3133795085"],"abstract_inverted_index":{"This":[0,137],"paper":[1],"proposes":[2],"a":[3,6,28,89,119,149],"framework":[4],"for":[5,41,192],"privacy-safe":[7,178],"iris":[8,19,33,47,131,151,179],"presentation":[9],"attack":[10],"detection":[11],"(PAD)":[12],"method,":[13],"designed":[14,37],"solely":[15,114,144],"with":[16,81,130,169,198],"synthetically-generated,":[17],"identity-leakage-free":[18],"images.":[20,48],"Once":[21],"trained,":[22],"the":[23,42,60,69,105,139,156,162,170,199],"method":[24],"is":[25,86,138],"evaluated":[26],"in":[27,68],"classical":[29],"way":[30],"using":[31],"state-of-the-art":[32],"PAD":[34,152,180],"benchmarks.":[35],"We":[36],"two":[38],"generative":[39,174,189],"models":[40,112,190],"synthesis":[43],"of":[44,79,173],"ISO/IEC":[45],"19794-6-compliant":[46],"The":[49,74,185],"first":[50],"model":[51,76],"synthesizes":[52,77],"bona":[53],"fide-looking":[54],"samples.":[55],"To":[56],"avoid":[57],"\"identity":[58],"leakage,\"":[59],"generated":[61],"samples":[62],"that":[63,111,168],"accidentally":[64],"matched":[65],"those":[66],"used":[67],"model\u2019s":[70],"training":[71,106],"were":[72],"excluded.":[73],"second":[75],"images":[78,132],"irises":[80],"textured":[82,99],"contact":[83,91,100],"lenses":[84],"and":[85,154,161,188],"conditioned":[87],"by":[88],"given":[90],"lens":[92,101],"brand":[93],"to":[94,127,142,147],"have":[95],"better":[96],"control":[97],"over":[98],"appearance":[102],"when":[103,125],"forming":[104],"set.":[107],"Our":[108],"experiments":[109],"demonstrate":[110],"trained":[113,129,191],"on":[115],"synthetic":[116,145],"data":[117,146],"achieve":[118],"lower":[120],"but":[121],"still":[122],"reasonable":[123],"performance":[124,157],"compared":[126],"solutions":[128],"collected":[133],"from":[134],"human":[135],"subjects.":[136],"first-of-its-kind":[140],"attempt":[141],"use":[143],"train":[148],"fully-functional":[150],"solution,":[153],"despite":[155],"gap":[158],"between":[159],"regular":[160],"proposed":[163],"methods,":[164],"this":[165,193],"study":[166],"demonstrates":[167],"increasing":[171],"fidelity":[172],"models,":[175],"creating":[176],"such":[177],"methods":[181],"may":[182],"be":[183],"possible.":[184],"source":[186],"codes":[187],"work":[194],"are":[195],"offered":[196],"along":[197],"paper.":[200]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
