{"id":"https://openalex.org/W3161742608","doi":"https://doi.org/10.1109/icassp39728.2021.9413941","title":"Highly Efficient Protection of Biometric Face Samples with Selective JPEG2000 Encryption","display_name":"Highly Efficient Protection of Biometric Face Samples with Selective JPEG2000 Encryption","publication_year":2021,"publication_date":"2021-05-13","ids":{"openalex":"https://openalex.org/W3161742608","doi":"https://doi.org/10.1109/icassp39728.2021.9413941","mag":"3161742608"},"language":"en","primary_location":{"id":"doi:10.1109/icassp39728.2021.9413941","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp39728.2021.9413941","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5059248503","display_name":"Heinz Hofbauer","orcid":"https://orcid.org/0000-0003-2969-1848"},"institutions":[{"id":"https://openalex.org/I182212641","display_name":"University of Salzburg","ror":"https://ror.org/05gs8cd61","country_code":"AT","type":"education","lineage":["https://openalex.org/I182212641"]},{"id":"https://openalex.org/I4210121626","display_name":"Signal Processing (United States)","ror":"https://ror.org/021gzyw51","country_code":"US","type":"company","lineage":["https://openalex.org/I4210121626"]}],"countries":["AT","US"],"is_corresponding":false,"raw_author_name":"Heinz Hofbauer","raw_affiliation_strings":["Paris Lodron University of Salzburg,Multimedia Signal Processing and Security Lab,AUSTRIA","Multimedia Signal Processing and Security Lab, Paris Lodron University of Salzburg, AUSTRIA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Paris Lodron University of Salzburg,Multimedia Signal Processing and Security Lab,AUSTRIA","institution_ids":["https://openalex.org/I182212641","https://openalex.org/I4210121626"]},{"raw_affiliation_string":"Multimedia Signal Processing and Security Lab, Paris Lodron University of Salzburg, AUSTRIA","institution_ids":["https://openalex.org/I182212641","https://openalex.org/I4210121626"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066876303","display_name":"Yoanna Mart\u00ednez-D\u00edaz","orcid":"https://orcid.org/0000-0002-1591-5989"},"institutions":[{"id":"https://openalex.org/I4210095957","display_name":"Advanced Technologies Application Center","ror":"https://ror.org/00pwma409","country_code":"CU","type":"nonprofit","lineage":["https://openalex.org/I4210095957"]}],"countries":["CU"],"is_corresponding":false,"raw_author_name":"Yoanna Martinez-Diaz","raw_affiliation_strings":["Advanced Technologies Application Center (CENATAV),Havana,CUBA","Advanced Technologies Application Center (CENATAV), Havana, CUBA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Advanced Technologies Application Center (CENATAV),Havana,CUBA","institution_ids":["https://openalex.org/I4210095957"]},{"raw_affiliation_string":"Advanced Technologies Application Center (CENATAV), Havana, CUBA","institution_ids":["https://openalex.org/I4210095957"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020025107","display_name":"Simon Kirchgasser","orcid":"https://orcid.org/0000-0003-4836-0913"},"institutions":[{"id":"https://openalex.org/I182212641","display_name":"University of Salzburg","ror":"https://ror.org/05gs8cd61","country_code":"AT","type":"education","lineage":["https://openalex.org/I182212641"]},{"id":"https://openalex.org/I4210121626","display_name":"Signal Processing (United States)","ror":"https://ror.org/021gzyw51","country_code":"US","type":"company","lineage":["https://openalex.org/I4210121626"]}],"countries":["AT","US"],"is_corresponding":false,"raw_author_name":"Simon Kirchgasser","raw_affiliation_strings":["Paris Lodron University of Salzburg,Multimedia Signal Processing and Security Lab,AUSTRIA","Multimedia Signal Processing and Security Lab, Paris Lodron University of Salzburg, AUSTRIA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Paris Lodron University of Salzburg,Multimedia Signal Processing and Security Lab,AUSTRIA","institution_ids":["https://openalex.org/I182212641","https://openalex.org/I4210121626"]},{"raw_affiliation_string":"Multimedia Signal Processing and Security Lab, Paris Lodron University of Salzburg, AUSTRIA","institution_ids":["https://openalex.org/I182212641","https://openalex.org/I4210121626"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064231789","display_name":"Heydi M\u00e9ndez-V\u00e1zquez","orcid":"https://orcid.org/0000-0002-7834-1791"},"institutions":[{"id":"https://openalex.org/I4210095957","display_name":"Advanced Technologies Application Center","ror":"https://ror.org/00pwma409","country_code":"CU","type":"nonprofit","lineage":["https://openalex.org/I4210095957"]}],"countries":["CU"],"is_corresponding":false,"raw_author_name":"Heydi Mendez-Vazquez","raw_affiliation_strings":["Advanced Technologies Application Center (CENATAV),Havana,CUBA","Advanced Technologies Application Center (CENATAV), Havana, CUBA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Advanced Technologies Application Center (CENATAV),Havana,CUBA","institution_ids":["https://openalex.org/I4210095957"]},{"raw_affiliation_string":"Advanced Technologies Application Center (CENATAV), Havana, CUBA","institution_ids":["https://openalex.org/I4210095957"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062946437","display_name":"Andreas Uhl","orcid":"https://orcid.org/0000-0002-5921-8755"},"institutions":[{"id":"https://openalex.org/I182212641","display_name":"University of Salzburg","ror":"https://ror.org/05gs8cd61","country_code":"AT","type":"education","lineage":["https://openalex.org/I182212641"]},{"id":"https://openalex.org/I4210121626","display_name":"Signal Processing (United States)","ror":"https://ror.org/021gzyw51","country_code":"US","type":"company","lineage":["https://openalex.org/I4210121626"]}],"countries":["AT","US"],"is_corresponding":false,"raw_author_name":"Andreas Uhl","raw_affiliation_strings":["Paris Lodron University of Salzburg,Multimedia Signal Processing and Security Lab,AUSTRIA","Multimedia Signal Processing and Security Lab, Paris Lodron University of Salzburg, AUSTRIA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Paris Lodron University of Salzburg,Multimedia Signal Processing and Security Lab,AUSTRIA","institution_ids":["https://openalex.org/I182212641","https://openalex.org/I4210121626"]},{"raw_affiliation_string":"Multimedia Signal Processing and Security Lab, Paris Lodron University of Salzburg, AUSTRIA","institution_ids":["https://openalex.org/I182212641","https://openalex.org/I4210121626"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.191,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.47502395,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"2580","last_page":"2584"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":0.9987999796867371,"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":0.9987999796867371,"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":0.9962999820709229,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.994700014591217,"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/encryption","display_name":"Encryption","score":0.8492608070373535},{"id":"https://openalex.org/keywords/biometrics","display_name":"Biometrics","score":0.8329739570617676},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7435520887374878},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5267968773841858},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.5130480527877808},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.5114849805831909},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.4769286513328552},{"id":"https://openalex.org/keywords/jpeg-2000","display_name":"JPEG 2000","score":0.46871986985206604},{"id":"https://openalex.org/keywords/biometric-data","display_name":"Biometric data","score":0.43399882316589355},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3209420442581177},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.07173588871955872},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.06767567992210388},{"id":"https://openalex.org/keywords/image-compression","display_name":"Image compression","score":0.05779314041137695}],"concepts":[{"id":"https://openalex.org/C148730421","wikidata":"https://www.wikidata.org/wiki/Q141090","display_name":"Encryption","level":2,"score":0.8492608070373535},{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.8329739570617676},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7435520887374878},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5267968773841858},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.5130480527877808},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.5114849805831909},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.4769286513328552},{"id":"https://openalex.org/C69216139","wikidata":"https://www.wikidata.org/wiki/Q931783","display_name":"JPEG 2000","level":5,"score":0.46871986985206604},{"id":"https://openalex.org/C2989513435","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometric data","level":3,"score":0.43399882316589355},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3209420442581177},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.07173588871955872},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.06767567992210388},{"id":"https://openalex.org/C13481523","wikidata":"https://www.wikidata.org/wiki/Q412438","display_name":"Image compression","level":4,"score":0.05779314041137695},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp39728.2021.9413941","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp39728.2021.9413941","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321181","display_name":"Austrian Science Fund","ror":"https://ror.org/013tf3c58"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W126986325","https://openalex.org/W1782590233","https://openalex.org/W1825459403","https://openalex.org/W1972439872","https://openalex.org/W1999533590","https://openalex.org/W2078286562","https://openalex.org/W2096027770","https://openalex.org/W2105375406","https://openalex.org/W2123921160","https://openalex.org/W2145307864","https://openalex.org/W2163808566","https://openalex.org/W2509304224","https://openalex.org/W2607103028","https://openalex.org/W2620143363","https://openalex.org/W2810897711","https://openalex.org/W2940208890","https://openalex.org/W2943235166","https://openalex.org/W2963976704","https://openalex.org/W2969985801","https://openalex.org/W2989327462","https://openalex.org/W3033908301","https://openalex.org/W4256492606","https://openalex.org/W6643400769","https://openalex.org/W6674341799","https://openalex.org/W6675887122","https://openalex.org/W6761937618"],"related_works":["https://openalex.org/W11332215","https://openalex.org/W10340342","https://openalex.org/W14113628","https://openalex.org/W2850795","https://openalex.org/W13824394","https://openalex.org/W9377856","https://openalex.org/W11889400","https://openalex.org/W10957646","https://openalex.org/W10804110","https://openalex.org/W1510157"],"abstract_inverted_index":{"When":[0],"biometric":[1,31,67,81],"databases":[2],"grow":[3],"larger,":[4],"a":[5,19,26,30,39,44,63],"security":[6],"breach":[7],"or":[8],"leak":[9],"can":[10,55],"affect":[11],"millions.":[12],"In":[13,70],"order":[14],"to":[15],"protect":[16],"against":[17],"such":[18],"threat,":[20],"the":[21,36,57,96,100],"use":[22,50],"of":[23,38,51,66,79,90],"encryption":[24,54,78,93],"is":[25,83],"natural":[27],"choice.":[28],"However,":[29],"identification":[32],"attempt":[33],"then":[34],"requires":[35],"decryption":[37],"potential":[40],"huge":[41],"database,":[42],"making":[43],"traditional":[45,106],"approach":[46],"potentially":[47],"unfeasible.":[48],"The":[49],"selective":[52,77,92],"JPEG2000":[53],"reduce":[56],"encryption\u2019s":[58],"computational":[59],"load":[60],"and":[61,103,107],"enable":[62],"secure":[64],"storage":[65],"sample":[68],"data.":[69],"this":[71],"paper":[72],"we":[73],"will":[74],"show":[75],"that":[76],"face":[80,111],"samples":[82],"secure.":[84],"We":[85],"analyze":[86],"various":[87],"encoding":[88],"settings":[89],"JPEG2000,":[91],"parameters":[94],"on":[95],"\"Labeled":[97],"Faces":[98],"in":[99],"Wild\"":[101],"database":[102],"apply":[104],"several":[105],"deep":[108],"learning":[109],"based":[110],"recognition":[112],"methods.":[113]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}