{"id":"https://openalex.org/W4386212650","doi":"https://doi.org/10.1109/siu59756.2023.10223964","title":"Sample Picking in Synthetic Irides for Wolf Attacks","display_name":"Sample Picking in Synthetic Irides for Wolf Attacks","publication_year":2023,"publication_date":"2023-07-05","ids":{"openalex":"https://openalex.org/W4386212650","doi":"https://doi.org/10.1109/siu59756.2023.10223964"},"language":"en","primary_location":{"id":"doi:10.1109/siu59756.2023.10223964","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/siu59756.2023.10223964","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 31st Signal Processing and Communications Applications Conference (SIU)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://hdl.handle.net/11147/13964","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5092705792","display_name":"Ey\u00fcp Kaan Akdeniz","orcid":"https://orcid.org/0000-0002-5895-0821"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ey\u00fcp Kaan Akdeniz","raw_affiliation_strings":["Bilgisayar M&#x00FC;hendisli&#x011F;i B&#x00F6;l&#x00FC;m&#x00FC;, &#x0130;zmir Y&#x00FC;ksek Teknoloji Enstit&#x00FC;s&#x00FC;,&#x0130;zmir,T&#x00FC;rkiye"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Bilgisayar M&#x00FC;hendisli&#x011F;i B&#x00F6;l&#x00FC;m&#x00FC;, &#x0130;zmir Y&#x00FC;ksek Teknoloji Enstit&#x00FC;s&#x00FC;,&#x0130;zmir,T&#x00FC;rkiye","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5107173641","display_name":"Nesli Erdo\u011fmu\u015f","orcid":"https://orcid.org/0000-0002-6875-2685"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Nesli Erdo\u011fmu\u015f","raw_affiliation_strings":["Bilgisayar M&#x00FC;hendisli&#x011F;i B&#x00F6;l&#x00FC;m&#x00FC;, &#x0130;zmir Y&#x00FC;ksek Teknoloji Enstit&#x00FC;s&#x00FC;,&#x0130;zmir,T&#x00FC;rkiye"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Bilgisayar M&#x00FC;hendisli&#x011F;i B&#x00F6;l&#x00FC;m&#x00FC;, &#x0130;zmir Y&#x00FC;ksek Teknoloji Enstit&#x00FC;s&#x00FC;,&#x0130;zmir,T&#x00FC;rkiye","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.10918463,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10828","display_name":"Biometric Identification and Security","score":0.9695000052452087,"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":0.9695000052452087,"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/T10751","display_name":"Forensic and Genetic Research","score":0.9577000141143799,"subfield":{"id":"https://openalex.org/subfields/1311","display_name":"Genetics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T13192","display_name":"Forensic Fingerprint Detection Methods","score":0.9294000267982483,"subfield":{"id":"https://openalex.org/subfields/3311","display_name":"Safety Research"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7231916785240173},{"id":"https://openalex.org/keywords/spoofing-attack","display_name":"Spoofing attack","score":0.7124389410018921},{"id":"https://openalex.org/keywords/iris-recognition","display_name":"Iris recognition","score":0.6937023401260376},{"id":"https://openalex.org/keywords/iris","display_name":"IRIS (biosensor)","score":0.6907139420509338},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.661080002784729},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5614667534828186},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5497239232063293},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5248634815216064},{"id":"https://openalex.org/keywords/biometrics","display_name":"Biometrics","score":0.5119155645370483},{"id":"https://openalex.org/keywords/generative-model","display_name":"Generative model","score":0.45304349064826965},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.43933621048927307},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.410480260848999},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.37337052822113037},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.36322903633117676},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.1173209547996521}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7231916785240173},{"id":"https://openalex.org/C167900197","wikidata":"https://www.wikidata.org/wiki/Q11081100","display_name":"Spoofing attack","level":2,"score":0.7124389410018921},{"id":"https://openalex.org/C112356035","wikidata":"https://www.wikidata.org/wiki/Q1672722","display_name":"Iris recognition","level":3,"score":0.6937023401260376},{"id":"https://openalex.org/C2779503344","wikidata":"https://www.wikidata.org/wiki/Q5973514","display_name":"IRIS (biosensor)","level":3,"score":0.6907139420509338},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.661080002784729},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5614667534828186},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5497239232063293},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5248634815216064},{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.5119155645370483},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.45304349064826965},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.43933621048927307},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.410480260848999},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.37337052822113037},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.36322903633117676},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.1173209547996521},{"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/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/siu59756.2023.10223964","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/siu59756.2023.10223964","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 31st Signal Processing and Communications Applications Conference (SIU)","raw_type":"proceedings-article"},{"id":"pmh:oai:gcris.iyte.edu.tr:11147/13964","is_oa":true,"landing_page_url":"https://hdl.handle.net/11147/13964","pdf_url":null,"source":{"id":"https://openalex.org/S4306400894","display_name":"\u0130YTE (\u0130ZM\u0130R Y\u00dcKSEK TEKNOLOJ\u0130 ENST\u0130T\u00dcS\u00dc)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I120217413","host_organization_name":"Izmir Institute of Technology","host_organization_lineage":["https://openalex.org/I120217413"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Conference Object"}],"best_oa_location":{"id":"pmh:oai:gcris.iyte.edu.tr:11147/13964","is_oa":true,"landing_page_url":"https://hdl.handle.net/11147/13964","pdf_url":null,"source":{"id":"https://openalex.org/S4306400894","display_name":"\u0130YTE (\u0130ZM\u0130R Y\u00dcKSEK TEKNOLOJ\u0130 ENST\u0130T\u00dcS\u00dc)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I120217413","host_organization_name":"Izmir Institute of Technology","host_organization_lineage":["https://openalex.org/I120217413"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Conference Object"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2162640687","https://openalex.org/W2018223046","https://openalex.org/W2151970936","https://openalex.org/W2759939383","https://openalex.org/W2294693339","https://openalex.org/W1971649232","https://openalex.org/W2557390811","https://openalex.org/W2355560018","https://openalex.org/W2147209541","https://openalex.org/W2281508611"],"abstract_inverted_index":{"In":[0],"this":[1,129],"study,":[2],"samples":[3],"with":[4,44,113,145],"higher":[5],"potential":[6],"to":[7,25,46],"succeed":[8],"in":[9,82,97,122,135],"wolf":[10,136],"attacks":[11,137],"are":[12,60,107,120],"picked":[13],"among":[14],"synthetically":[15],"generated":[16,52],"iris":[17,33,72,91,95],"images,":[18],"and":[19,101,103],"the":[20,77,98,114,123],"composed":[21],"subset":[22],"is":[23,86,138],"shown":[24],"pose":[26],"a":[27,38],"more":[28,133],"significant":[29],"threat":[30],"toward":[31],"an":[32],"recognition":[34],"system":[35],"backed":[36],"by":[37,53,63,140],"Presentation":[39],"Attack":[40],"Detection":[41],"(PAD)":[42],"module":[43],"respect":[45],"randomly":[47,146],"selected":[48,147],"samples.":[49],"Iris":[50],"images":[51,96,112],"Deep":[54],"Convolutional":[55],"Generative":[56],"Adversarial":[57],"Networks":[58],"(DCGAN)":[59],"firstly":[61],"filtered":[62],"rejection":[64],"sampling":[65],"on":[66,109],"PAD":[67,74],"score":[68,105],"distribution":[69],"of":[70,79,117],"real":[71,94],"image":[73],"scores.":[75],"Next,":[76],"probability":[78],"zero":[80,118],"success":[81,119],"all":[83],"attack":[84],"attempts":[85],"calculated":[87,108],"for":[88],"each":[89],"synthetic":[90],"image,":[92],"using":[93],"training":[99],"set,":[100],"match":[102],"non-match":[104],"distributions":[106],"those.":[110],"Synthetic":[111],"lowest":[115],"probabilities":[116],"included":[121],"final":[124],"set.":[125],"Our":[126],"hypothesis":[127],"that":[128],"set":[130],"would":[131],"be":[132],"successful":[134],"tested":[139],"comparing":[141],"its":[142],"spoofing":[143],"performances":[144],"sample":[148],"sets.":[149]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
