{"id":"https://openalex.org/W2594656819","doi":"https://doi.org/10.1109/tifs.2017.2676720","title":"Detecting Silicone Mask-Based Presentation Attack via Deep Dictionary Learning","display_name":"Detecting Silicone Mask-Based Presentation Attack via Deep Dictionary Learning","publication_year":2017,"publication_date":"2017-03-01","ids":{"openalex":"https://openalex.org/W2594656819","doi":"https://doi.org/10.1109/tifs.2017.2676720","mag":"2594656819"},"language":"en","primary_location":{"id":"doi:10.1109/tifs.2017.2676720","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tifs.2017.2676720","pdf_url":null,"source":{"id":"https://openalex.org/S61310614","display_name":"IEEE Transactions on Information Forensics and Security","issn_l":"1556-6013","issn":["1556-6013","1556-6021"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Information Forensics and Security","raw_type":"journal-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/A5035339017","display_name":"Ishan Manjani","orcid":null},"institutions":[{"id":"https://openalex.org/I119939252","display_name":"Indraprastha Institute of Information Technology Delhi","ror":"https://ror.org/03vfp4g33","country_code":"IN","type":"education","lineage":["https://openalex.org/I119939252"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Ishan Manjani","raw_affiliation_strings":["Adobe Systems, Noida, India","Indraprastha Institute of Information Technology Delhi, New Delhi, India"],"affiliations":[{"raw_affiliation_string":"Adobe Systems, Noida, India","institution_ids":[]},{"raw_affiliation_string":"Indraprastha Institute of Information Technology Delhi, New Delhi, India","institution_ids":["https://openalex.org/I119939252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060728957","display_name":"Snigdha Tariyal","orcid":null},"institutions":[{"id":"https://openalex.org/I119939252","display_name":"Indraprastha Institute of Information Technology Delhi","ror":"https://ror.org/03vfp4g33","country_code":"IN","type":"education","lineage":["https://openalex.org/I119939252"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Snigdha Tariyal","raw_affiliation_strings":["Indraprastha Institute of Information Technology Delhi, New Delhi, India"],"affiliations":[{"raw_affiliation_string":"Indraprastha Institute of Information Technology Delhi, New Delhi, India","institution_ids":["https://openalex.org/I119939252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050521702","display_name":"Mayank Vatsa","orcid":"https://orcid.org/0000-0001-5952-2274"},"institutions":[{"id":"https://openalex.org/I119939252","display_name":"Indraprastha Institute of Information Technology Delhi","ror":"https://ror.org/03vfp4g33","country_code":"IN","type":"education","lineage":["https://openalex.org/I119939252"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Mayank Vatsa","raw_affiliation_strings":["Indraprastha Institute of Information Technology Delhi, New Delhi, India"],"affiliations":[{"raw_affiliation_string":"Indraprastha Institute of Information Technology Delhi, New Delhi, India","institution_ids":["https://openalex.org/I119939252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011779957","display_name":"Richa Singh","orcid":"https://orcid.org/0000-0003-4060-4573"},"institutions":[{"id":"https://openalex.org/I119939252","display_name":"Indraprastha Institute of Information Technology Delhi","ror":"https://ror.org/03vfp4g33","country_code":"IN","type":"education","lineage":["https://openalex.org/I119939252"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Richa Singh","raw_affiliation_strings":["Indraprastha Institute of Information Technology Delhi, New Delhi, India"],"affiliations":[{"raw_affiliation_string":"Indraprastha Institute of Information Technology Delhi, New Delhi, India","institution_ids":["https://openalex.org/I119939252"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5020310463","display_name":"Angshul Majumdar","orcid":"https://orcid.org/0000-0002-1065-3000"},"institutions":[{"id":"https://openalex.org/I119939252","display_name":"Indraprastha Institute of Information Technology Delhi","ror":"https://ror.org/03vfp4g33","country_code":"IN","type":"education","lineage":["https://openalex.org/I119939252"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Angshul Majumdar","raw_affiliation_strings":["Indraprastha Institute of Information Technology Delhi, New Delhi, India"],"affiliations":[{"raw_affiliation_string":"Indraprastha Institute of Information Technology Delhi, New Delhi, India","institution_ids":["https://openalex.org/I119939252"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5035339017"],"corresponding_institution_ids":["https://openalex.org/I119939252"],"apc_list":null,"apc_paid":null,"fwci":9.1022,"has_fulltext":false,"cited_by_count":155,"citation_normalized_percentile":{"value":0.98635757,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"12","issue":"7","first_page":"1713","last_page":"1723"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12357","display_name":"Digital Media Forensic Detection","score":0.9987000226974487,"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/T12357","display_name":"Digital Media Forensic Detection","score":0.9987000226974487,"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":0.9976000189781189,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9968000054359436,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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":0.8733336925506592},{"id":"https://openalex.org/keywords/presentation","display_name":"Presentation (obstetrics)","score":0.6417561173439026},{"id":"https://openalex.org/keywords/replay-attack","display_name":"Replay attack","score":0.6290560960769653},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5327969193458557},{"id":"https://openalex.org/keywords/biometrics","display_name":"Biometrics","score":0.48837822675704956},{"id":"https://openalex.org/keywords/identity","display_name":"Identity (music)","score":0.4211012125015259},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.36834627389907837},{"id":"https://openalex.org/keywords/authentication","display_name":"Authentication (law)","score":0.3210468292236328},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.27488595247268677}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8733336925506592},{"id":"https://openalex.org/C2777601897","wikidata":"https://www.wikidata.org/wiki/Q3409113","display_name":"Presentation (obstetrics)","level":2,"score":0.6417561173439026},{"id":"https://openalex.org/C11560541","wikidata":"https://www.wikidata.org/wiki/Q1756025","display_name":"Replay attack","level":3,"score":0.6290560960769653},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5327969193458557},{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.48837822675704956},{"id":"https://openalex.org/C2778355321","wikidata":"https://www.wikidata.org/wiki/Q17079427","display_name":"Identity (music)","level":2,"score":0.4211012125015259},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.36834627389907837},{"id":"https://openalex.org/C148417208","wikidata":"https://www.wikidata.org/wiki/Q4825882","display_name":"Authentication (law)","level":2,"score":0.3210468292236328},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.27488595247268677},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.0},{"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/tifs.2017.2676720","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tifs.2017.2676720","pdf_url":null,"source":{"id":"https://openalex.org/S61310614","display_name":"IEEE Transactions on Information Forensics and Security","issn_l":"1556-6013","issn":["1556-6013","1556-6021"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Information Forensics and Security","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6800000071525574,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320325255","display_name":"Ministry of Electronics and Information technology","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":58,"referenced_works":["https://openalex.org/W1487288055","https://openalex.org/W1557252109","https://openalex.org/W1770095230","https://openalex.org/W1902027874","https://openalex.org/W1979339361","https://openalex.org/W1979347854","https://openalex.org/W1980454827","https://openalex.org/W1982209341","https://openalex.org/W2003092530","https://openalex.org/W2004211009","https://openalex.org/W2009451935","https://openalex.org/W2011016023","https://openalex.org/W2022862006","https://openalex.org/W2024178148","https://openalex.org/W2027539209","https://openalex.org/W2028781966","https://openalex.org/W2035336426","https://openalex.org/W2047575506","https://openalex.org/W2050132334","https://openalex.org/W2083231836","https://openalex.org/W2092966366","https://openalex.org/W2094773601","https://openalex.org/W2097269201","https://openalex.org/W2100495367","https://openalex.org/W2107227001","https://openalex.org/W2110798204","https://openalex.org/W2111873430","https://openalex.org/W2115429828","https://openalex.org/W2115706991","https://openalex.org/W2125320497","https://openalex.org/W2126534699","https://openalex.org/W2127320676","https://openalex.org/W2128659236","https://openalex.org/W2129622867","https://openalex.org/W2129638195","https://openalex.org/W2135146871","https://openalex.org/W2136975665","https://openalex.org/W2139212933","https://openalex.org/W2140593870","https://openalex.org/W2142256325","https://openalex.org/W2151343288","https://openalex.org/W2153344422","https://openalex.org/W2158698691","https://openalex.org/W2160547390","https://openalex.org/W2162583786","https://openalex.org/W2163398148","https://openalex.org/W2163487272","https://openalex.org/W2341318667","https://openalex.org/W2487290731","https://openalex.org/W2560042709","https://openalex.org/W2607927535","https://openalex.org/W3094438865","https://openalex.org/W3097096317","https://openalex.org/W3101824741","https://openalex.org/W4250955649","https://openalex.org/W6676481782","https://openalex.org/W6682777295","https://openalex.org/W6684314024"],"related_works":["https://openalex.org/W2076845124","https://openalex.org/W2183964146","https://openalex.org/W4387426029","https://openalex.org/W2379932303","https://openalex.org/W4300873085","https://openalex.org/W3147744369","https://openalex.org/W3104966193","https://openalex.org/W2354346723","https://openalex.org/W2978048732","https://openalex.org/W2393362322"],"abstract_inverted_index":{"In":[0],"movies,":[1],"film":[2],"stars":[3],"portray":[4],"another":[5],"identity":[6,10],"or":[7,155],"obfuscate":[8],"their":[9,31],"with":[11,91,167,196],"the":[12,64,142,161,189],"help":[13],"of":[14,109,128],"silicone/latex":[15],"masks.":[16],"Such":[17],"realistic":[18,58],"masks":[19],"are":[20,25,95,102,158],"now":[21],"easily":[22],"available":[23],"and":[24,40,74,173,183,202],"used":[26],"for":[27,86],"entertainment":[28],"purposes.":[29],"However,":[30],"usage":[32],"in":[33,80,104,199],"criminal":[34],"activities":[35],"to":[36,52,77,140,148],"deceive":[37],"law":[38],"enforcement":[39],"automatic":[41],"face":[42],"recognition":[43],"systems":[44,55],"is":[45,50,112,138],"also":[46],"plausible.":[47],"Therefore,":[48],"it":[49],"important":[51],"guard":[53],"biometrics":[54],"against":[56],"such":[57],"presentation":[59,82,98,119,176],"attacks.":[60,129],"This":[61],"paper":[62],"introduces":[63],"first-of-its-kind":[65],"silicone":[66,92,170],"mask":[67,171],"attack":[68,83,99,120,177],"database":[69],"which":[70],"contains":[71],"130":[72],"real":[73,168],"attacked":[75],"videos":[76],"facilitate":[78],"research":[79,111],"developing":[81],"detection":[84,121],"algorithms":[85],"this":[87,110],"challenging":[88],"scenario.":[89],"Along":[90],"mask,":[93],"there":[94],"several":[96],"other":[97],"instruments":[100],"that":[101,123,188],"explored":[103],"literature.":[105],"The":[106,185],"next":[107],"contribution":[108],"a":[113],"novel":[114],"multilevel":[115],"deep":[116,143],"dictionary":[117],"learning-based":[118],"algorithm":[122,191],"can":[124],"discern":[125],"different":[126],"kinds":[127],"An":[130],"efficient":[131],"greedy":[132],"layer":[133,135],"by":[134,146],"training":[136],"approach":[137],"formulated":[139],"learn":[141],"dictionaries":[144],"followed":[145],"SVM":[147],"classify":[149],"an":[150],"input":[151],"sample":[152],"as":[153],"genuine":[154],"attacked.":[156],"Experimental":[157],"performed":[159],"on":[160],"proposed":[162,190],"SMAD":[163],"database,":[164],"some":[165],"samples":[166],"world":[169],"attacks,":[172],"four":[174],"existing":[175],"databases,":[178],"namely,":[179],"replay-attack,":[180],"CASIA-FASD,":[181],"3DMAD,":[182],"UVAD.":[184],"results":[186],"show":[187],"yields":[192],"better":[193],"performance":[194],"compared":[195],"state-ofthe-art":[197],"algorithms,":[198],"both":[200],"intra-database":[201],"cross-database":[203],"experiments.":[204]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":13},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":22},{"year":2020,"cited_by_count":28},{"year":2019,"cited_by_count":40},{"year":2018,"cited_by_count":22},{"year":2017,"cited_by_count":10}],"updated_date":"2026-02-25T08:12:03.925757","created_date":"2025-10-10T00:00:00"}
