{"id":"https://openalex.org/W3005857660","doi":"https://doi.org/10.1109/icb45273.2019.8987267","title":"Directed Adversarial Attacks on Fingerprints using Attributions","display_name":"Directed Adversarial Attacks on Fingerprints using Attributions","publication_year":2019,"publication_date":"2019-06-01","ids":{"openalex":"https://openalex.org/W3005857660","doi":"https://doi.org/10.1109/icb45273.2019.8987267","mag":"3005857660"},"language":"en","primary_location":{"id":"doi:10.1109/icb45273.2019.8987267","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icb45273.2019.8987267","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 International Conference on Biometrics (ICB)","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/A5038421917","display_name":"Steven Lawrence Fernandes","orcid":"https://orcid.org/0000-0002-0128-1559"},"institutions":[{"id":"https://openalex.org/I106165777","display_name":"University of Central Florida","ror":"https://ror.org/036nfer12","country_code":"US","type":"education","lineage":["https://openalex.org/I106165777"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Steven Fernandes","raw_affiliation_strings":["University of Central Florida,Computer Science Department,Orlando,FL,USA","Computer Science Department, University of Central Florida, Orlando, FL, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Central Florida,Computer Science Department,Orlando,FL,USA","institution_ids":["https://openalex.org/I106165777"]},{"raw_affiliation_string":"Computer Science Department, University of Central Florida, Orlando, FL, USA","institution_ids":["https://openalex.org/I106165777"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014189824","display_name":"Sunny Raj","orcid":"https://orcid.org/0000-0002-7523-1642"},"institutions":[{"id":"https://openalex.org/I106165777","display_name":"University of Central Florida","ror":"https://ror.org/036nfer12","country_code":"US","type":"education","lineage":["https://openalex.org/I106165777"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sunny Raj","raw_affiliation_strings":["University of Central Florida,Computer Science Department,Orlando,FL,USA","Computer Science Department, University of Central Florida, Orlando, FL, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Central Florida,Computer Science Department,Orlando,FL,USA","institution_ids":["https://openalex.org/I106165777"]},{"raw_affiliation_string":"Computer Science Department, University of Central Florida, Orlando, FL, USA","institution_ids":["https://openalex.org/I106165777"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044896250","display_name":"Eddy Ortiz","orcid":null},"institutions":[{"id":"https://openalex.org/I125133608","display_name":"Royal Bank of Canada","ror":"https://ror.org/03hgnwx26","country_code":"CA","type":"other","lineage":["https://openalex.org/I125133608"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Eddy Ortiz","raw_affiliation_strings":["Royal Bank of Canada,Solution Acceleration and Innovation Department","Solution Acceleration and Innovation Department, Royal Bank of Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Royal Bank of Canada,Solution Acceleration and Innovation Department","institution_ids":["https://openalex.org/I125133608"]},{"raw_affiliation_string":"Solution Acceleration and Innovation Department, Royal Bank of Canada","institution_ids":["https://openalex.org/I125133608"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005957806","display_name":"Iustina Vintila","orcid":null},"institutions":[{"id":"https://openalex.org/I125133608","display_name":"Royal Bank of Canada","ror":"https://ror.org/03hgnwx26","country_code":"CA","type":"other","lineage":["https://openalex.org/I125133608"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Iustina Vintila","raw_affiliation_strings":["Royal Bank of Canada,Solution Acceleration and Innovation Department","Solution Acceleration and Innovation Department, Royal Bank of Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Royal Bank of Canada,Solution Acceleration and Innovation Department","institution_ids":["https://openalex.org/I125133608"]},{"raw_affiliation_string":"Solution Acceleration and Innovation Department, Royal Bank of Canada","institution_ids":["https://openalex.org/I125133608"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5075978538","display_name":"Sumit Kumar Jha","orcid":"https://orcid.org/0000-0003-0354-2940"},"institutions":[{"id":"https://openalex.org/I106165777","display_name":"University of Central Florida","ror":"https://ror.org/036nfer12","country_code":"US","type":"education","lineage":["https://openalex.org/I106165777"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sumit Kumar Jha","raw_affiliation_strings":["University of Central Florida,Computer Science Department,Orlando,FL,USA","Computer Science Department, University of Central Florida, Orlando, FL, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Central Florida,Computer Science Department,Orlando,FL,USA","institution_ids":["https://openalex.org/I106165777"]},{"raw_affiliation_string":"Computer Science Department, University of Central Florida, Orlando, FL, USA","institution_ids":["https://openalex.org/I106165777"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.8345,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.74812831,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10828","display_name":"Biometric Identification and Security","score":0.9997000098228455,"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":0.9997000098228455,"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/T11448","display_name":"Face recognition and analysis","score":0.9843000173568726,"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/T13192","display_name":"Forensic Fingerprint Detection Methods","score":0.9828000068664551,"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/fingerprint","display_name":"Fingerprint (computing)","score":0.7892849445343018},{"id":"https://openalex.org/keywords/minutiae","display_name":"Minutiae","score":0.7735930681228638},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7162275314331055},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6393311023712158},{"id":"https://openalex.org/keywords/fingerprint-recognition","display_name":"Fingerprint recognition","score":0.6360204815864563},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6024894714355469},{"id":"https://openalex.org/keywords/fingerprint-verification-competition","display_name":"Fingerprint Verification Competition","score":0.5089852809906006},{"id":"https://openalex.org/keywords/biometrics","display_name":"Biometrics","score":0.4879402816295624},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.48614785075187683},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4703997075557709},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4409906566143036},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.43188905715942383},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17384880781173706},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.1624220609664917},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.13446137309074402}],"concepts":[{"id":"https://openalex.org/C2777826928","wikidata":"https://www.wikidata.org/wiki/Q3745713","display_name":"Fingerprint (computing)","level":2,"score":0.7892849445343018},{"id":"https://openalex.org/C67174900","wikidata":"https://www.wikidata.org/wiki/Q178022","display_name":"Minutiae","level":4,"score":0.7735930681228638},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7162275314331055},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6393311023712158},{"id":"https://openalex.org/C168406668","wikidata":"https://www.wikidata.org/wiki/Q178022","display_name":"Fingerprint recognition","level":3,"score":0.6360204815864563},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6024894714355469},{"id":"https://openalex.org/C164995936","wikidata":"https://www.wikidata.org/wiki/Q5450283","display_name":"Fingerprint Verification Competition","level":4,"score":0.5089852809906006},{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.4879402816295624},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.48614785075187683},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4703997075557709},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4409906566143036},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.43188905715942383},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17384880781173706},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.1624220609664917},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.13446137309074402}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icb45273.2019.8987267","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icb45273.2019.8987267","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 International Conference on Biometrics (ICB)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7699999809265137,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W1686810756","https://openalex.org/W1929856797","https://openalex.org/W1951183756","https://openalex.org/W1972125593","https://openalex.org/W2000889716","https://openalex.org/W2004211009","https://openalex.org/W2043073356","https://openalex.org/W2079772131","https://openalex.org/W2103869071","https://openalex.org/W2117539524","https://openalex.org/W2126060993","https://openalex.org/W2133719507","https://openalex.org/W2160014001","https://openalex.org/W2163605009","https://openalex.org/W2183341477","https://openalex.org/W2295107390","https://openalex.org/W2304245051","https://openalex.org/W2531409750","https://openalex.org/W2549139847","https://openalex.org/W2612445135","https://openalex.org/W2735892118","https://openalex.org/W2748806792","https://openalex.org/W2781883414","https://openalex.org/W2783000019","https://openalex.org/W2898196560","https://openalex.org/W2911881985","https://openalex.org/W2919309882","https://openalex.org/W2962835968","https://openalex.org/W2963165122","https://openalex.org/W2963446712","https://openalex.org/W2964081807","https://openalex.org/W3125238864","https://openalex.org/W4297775537","https://openalex.org/W6637373629","https://openalex.org/W6684191040","https://openalex.org/W6686164453","https://openalex.org/W6697443983","https://openalex.org/W6725739302","https://openalex.org/W6728184133","https://openalex.org/W6729342207","https://openalex.org/W6737664043","https://openalex.org/W6741414320"],"related_works":["https://openalex.org/W2296853219","https://openalex.org/W2868306385","https://openalex.org/W3119467695","https://openalex.org/W4221139260","https://openalex.org/W2911521383","https://openalex.org/W2922501539","https://openalex.org/W2041721667","https://openalex.org/W2966840685","https://openalex.org/W2947227164","https://openalex.org/W3132365533"],"abstract_inverted_index":{"Fingerprint":[0],"recognition":[1,52],"systems":[2],"verify":[3],"the":[4,35,65,75,97,100,120,124,130,140,147,153,166,175],"identity":[5],"of":[6],"individuals":[7],"and":[8,41,72,102,113,132,149,155,177],"provide":[9],"access":[10],"to":[11,29,37,63,69,85,95,116,145],"secure":[12],"information":[13],"in":[14,21,129],"various":[15],"commercial":[16],"applications.":[17],"However,":[18],"with":[19],"advancements":[20],"artificial":[22],"intelligence,":[23],"fingerprint-based":[24],"security":[25],"methods":[26],"are":[27,137],"vulnerable":[28],"attack.":[30],"Such":[31],"a":[32,49,82],"breach":[33],"has":[34],"potential":[36],"compromise":[38],"confidential,":[39],"private":[40],"valuable":[42],"information.":[43],"In":[44],"this":[45],"paper,":[46],"we":[47],"attack":[48],"state-of-the-art":[50],"fingerprint":[51,66,76,122,135],"system":[53],"based":[54],"on":[55],"transfer":[56],"learning.":[57],"Our":[58],"approach":[59],"uses":[60],"attribution":[61],"analysis":[62],"identify":[64],"region":[67],"crucial":[68],"correct":[70],"classification,":[71],"then":[73],"perturbs":[74],"using":[77],"error":[78],"masks":[79],"derived":[80],"from":[81],"neural":[83],"network":[84],"generate":[86],"an":[87],"adversarial":[88],"fingerprint.":[89],"Image":[90],"quality":[91],"assessment":[92],"metrics":[93],"applied":[94],"calculate":[96],"difference":[98],"between":[99,126,152,174],"original":[101,131,154,176],"perturbed":[103,134,156,178],"fingerprints":[104],"include":[105],"average":[106],"difference,":[107,109],"maximum":[108],"normalized":[110],"absolute":[111],"error,":[112],"peak":[114],"signal":[115],"noise":[117],"ratio.":[118],"On":[119],"ATVS":[121],"dataset,":[123],"differences":[125],"these":[127],"values":[128],"corresponding":[133],"images":[136],"negligible.":[138],"Further,":[139],"VeriFinger":[141],"SDK":[142],"is":[143,161,170],"used":[144],"detect":[146],"minutiae":[148],"perform":[150],"matching":[151,159],"fingerprints.":[157,179],"The":[158],"score":[160],"above":[162],"250,":[163],"which":[164],"reinforces":[165],"fact":[167],"that":[168],"there":[169],"virtually":[171],"no":[172],"loss":[173]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
