乐胖代购免代理版

{"id":"https://openalex.org/W4392114191","doi":"https://doi.org/10.1109/tifs.2024.3369405","title":"Cancellable Deep Learning Framework for EEG Biometrics","display_name":"Cancellable Deep Learning Framework for EEG Biometrics","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4392114191","doi":"https://doi.org/10.1109/tifs.2024.3369405"},"language":"en","primary_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.1109/tifs.2024.3369405","pdf_url":"https://ieeexplore.ieee.org/ielx7/10206/4358835/10443934.pdf","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true},"type":"article","type_crossref":"journal-article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://ieeexplore.ieee.org/ielx7/10206/4358835/10443934.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100340891","display_name":"Min Wang","orcid":"https://orcid.org/0000-0002-1580-6387"},"institutions":[{"id":"https://openalex.org/I188329596","display_name":"University of Canberra","ror":"https://ror.org/04s1nv328","country_code":"AU","type":"education","lineage":["https://openalex.org/I188329596"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Min Wang","raw_affiliation_strings":["School of Information Technology and Systems, University of Canberra, Canberra, ACT, Australia"],"affiliations":[{"raw_affiliation_string":"School of Information Technology and Systems, University of Canberra, Canberra, ACT, Australia","institution_ids":["https://openalex.org/I188329596"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030630341","display_name":"Xuefei Yin","orcid":"https://orcid.org/0000-0002-5784-7419"},"institutions":[{"id":"https://openalex.org/I11701301","display_name":"Griffith University","ror":"https://ror.org/02sc3r913","country_code":"AU","type":"education","lineage":["https://openalex.org/I11701301"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Xuefei Yin","raw_affiliation_strings":["School of Information and Communication Technology, Griffith University, Gold Coast, QLD, Australia"],"affiliations":[{"raw_affiliation_string":"School of Information and Communication Technology, Griffith University, Gold Coast, QLD, Australia","institution_ids":["https://openalex.org/I11701301"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5075234257","display_name":"Jiankun Hu","orcid":"https://orcid.org/0000-0003-0230-1432"},"institutions":[{"id":"https://openalex.org/I188329596","display_name":"University of Canberra","ror":"https://ror.org/04s1nv328","country_code":"AU","type":"education","lineage":["https://openalex.org/I188329596"]},{"id":"https://openalex.org/I31746571","display_name":"UNSW Sydney","ror":"https://ror.org/03r8z3t63","country_code":"AU","type":"education","lineage":["https://openalex.org/I31746571"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Jiankun Hu","raw_affiliation_strings":["School of Systems and Computing, University of New South Wales, Canberra, ACT, Australia"],"affiliations":[{"raw_affiliation_string":"School of Systems and Computing, University of New South Wales, Canberra, ACT, Australia","institution_ids":["https://openalex.org/I188329596","https://openalex.org/I31746571"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"fulltext_origin":"pdf","cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":0,"max":85},"biblio":{"volume":"19","issue":null,"first_page":"3745","last_page":"3757"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10429","display_name":"Brain-Computer Interfaces in Neuroscience and Medicine","score":0.9967,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T10429","display_name":"Brain-Computer Interfaces in Neuroscience and Medicine","score":0.9967,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/deep-learning-for-eeg","display_name":"Deep Learning for EEG","score":0.718369},{"id":"https://openalex.org/keywords/eeg-analysis","display_name":"EEG Analysis","score":0.581531},{"id":"https://openalex.org/keywords/epilepsy-detection","display_name":"Epilepsy Detection","score":0.510867},{"id":"https://openalex.org/keywords/neuroprosthetics","display_name":"Neuroprosthetics","score":0.507251}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8327933},{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.8109526},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.54054826},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.46944878},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46749675},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.464917},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.33166242},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":true,"landing_page_url":"https://doi.org/10.1109/tifs.2024.3369405","pdf_url":"https://ieeexplore.ieee.org/ielx7/10206/4358835/10443934.pdf","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true}],"best_oa_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.1109/tifs.2024.3369405","pdf_url":"https://ieeexplore.ieee.org/ielx7/10206/4358835/10443934.pdf","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true},"sustainable_development_goals":[],"grants":[{"funder":"https://openalex.org/F4320334704","funder_display_name":"Australian Research Council","award_id":"DP200103207"}],"datasets":[],"versions":[],"referenced_works_count":39,"referenced_works":["https://openalex.org/W182695033","https://openalex.org/W1953919562","https://openalex.org/W1978293524","https://openalex.org/W1994321338","https://openalex.org/W1996687698","https://openalex.org/W2032843510","https://openalex.org/W2035092087","https://openalex.org/W2042237257","https://openalex.org/W2051267297","https://openalex.org/W2122338988","https://openalex.org/W2132602801","https://openalex.org/W2181315643","https://openalex.org/W2313108227","https://openalex.org/W2477033421","https://openalex.org/W2588784603","https://openalex.org/W2606073881","https://openalex.org/W2768708026","https://openalex.org/W2786768213","https://openalex.org/W2792847701","https://openalex.org/W2804794638","https://openalex.org/W2809578161","https://openalex.org/W2916700883","https://openalex.org/W2939377146","https://openalex.org/W2946344027","https://openalex.org/W3019900571","https://openalex.org/W3035616549","https://openalex.org/W3120841931","https://openalex.org/W3131014725","https://openalex.org/W3131475179","https://openalex.org/W3148356642","https://openalex.org/W4206426144","https://openalex.org/W4212901348","https://openalex.org/W4224536787","https://openalex.org/W4284885576","https://openalex.org/W4306867192","https://openalex.org/W4312307529","https://openalex.org/W4313120928","https://openalex.org/W4313547874","https://openalex.org/W4386076307"],"related_works":["https://openalex.org/W4300873085","https://openalex.org/W4241440711","https://openalex.org/W3212688212","https://openalex.org/W3147744369","https://openalex.org/W2379932303","https://openalex.org/W2183964146","https://openalex.org/W2076845124","https://openalex.org/W2062586268","https://openalex.org/W2019582947","https://openalex.org/W1524372968"],"abstract_inverted_index":{"EEG-based":[0],"biometric":[1,104,119],"systems":[2],"verify":[3],"the":[4,11,19,24,29,38,82,96,111,146,151,160,211,217,244,255],"identity":[5],"of":[6,18,99,114,150],"a":[7,14,32,92,128,164,181,187],"user":[8,21,33,152,201],"by":[9,27,159],"comparing":[10],"probe":[12,30],"to":[13,45,66,136,155,169,185,195,226,230],"reference":[15],"EEG":[16,103,118],"template":[17],"claimed":[20],"enrolled":[22],"in":[23,37,102],"system,":[25],"or":[26],"classifying":[28],"against":[31,171,232],"verification":[34,153,202,252],"model":[35,124,154,203,237],"stored":[36],"system.":[39,161],"These":[40],"approaches":[41],"are":[42],"often":[43],"referred":[44],"as":[46],"template-based":[47,54,256],"and":[48,70,84,121,148,174,236,258],"model-based":[49,56,88,117,132],"methods,":[50,55,57],"respectively.":[51],"Compared":[52],"with":[53],"especially":[58],"those":[59],"based":[60,144],"on":[61,81,145],"deep":[62,100,115,166,261],"learning":[63,101,116,167,262],"models,":[64],"tend":[65],"provide":[67],"enhanced":[68],"performance":[69,253],"more":[71],"flexible":[72],"applications.":[73,105],"However,":[74],"there":[75],"is":[76,135,204,219,224],"no":[77],"public":[78],"research":[79],"report":[80],"security":[83,112],"cancellability":[85],"issue":[86,94,113],"for":[87,130],"approaches.":[89],"This":[90],"becomes":[91],"critical":[93],"considering":[95],"growing":[97],"popularity":[98],"In":[106],"this":[107],"study,":[108],"we":[109],"investigate":[110],"systems,":[120],"demonstrate":[122],"that":[123,243],"inversion":[125,238],"attacks":[126,173,235],"post":[127],"threat":[129],"such":[131,172],"systems.":[133],"That":[134],"say,":[137],"an":[138],"adversary":[139],"can":[140,192],"produce":[141,196],"synthetic":[142],"data":[143,198],"output":[147,208],"parameters":[149,191],"gain":[156],"unauthorized":[157],"access":[158],"We":[162],"propose":[163],"cancellable":[165],"framework":[168,179,223],"defend":[170,231],"protect":[175],"system":[176],"security.":[177],"The":[178,221],"utilizes":[180],"generative":[182],"adversarial":[183],"network":[184],"approximate":[186],"non-invertible":[188],"transformation":[189,218],"whose":[190],"be":[193],"changed":[194],"different":[197],"distributions.":[199],"A":[200],"then":[205],"trained":[206],"using":[207],"generated":[209],"from":[210],"generator":[212],"model,":[213],"while":[214,247],"information":[215],"about":[216],"discarded.":[220],"proposed":[222,245],"able":[225],"revoke":[227],"compromised":[228],"models":[229],"hill":[233],"climbing":[234],"attacks.":[239],"Evaluation":[240],"results":[241],"show":[242],"method,":[246],"being":[248],"cancellable,":[249],"achieves":[250],"better":[251],"than":[254],"methods":[257],"state-of-the-art":[259],"non-cancellable":[260],"methods.":[263]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W4392114191","counts_by_year":[],"updated_date":"2024-11-28T21:22:12.457624","created_date":"2024-02-24"}