{"id":"https://openalex.org/W4404239024","doi":"https://doi.org/10.1109/ijcb62174.2024.10744454","title":"Faking Fluent: Unveiling the Achilles\u2019 Heel of Multilingual Deepfake Detection","display_name":"Faking Fluent: Unveiling the Achilles\u2019 Heel of Multilingual Deepfake Detection","publication_year":2024,"publication_date":"2024-09-15","ids":{"openalex":"https://openalex.org/W4404239024","doi":"https://doi.org/10.1109/ijcb62174.2024.10744454"},"language":"en","primary_location":{"id":"doi:10.1109/ijcb62174.2024.10744454","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/ijcb62174.2024.10744454","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Joint Conference on Biometrics (IJCB)","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/A5110852852","display_name":"Rishabh Ranjan","orcid":null},"institutions":[{"id":"https://openalex.org/I154549908","display_name":"Indian Institute of Technology Jodhpur","ror":"https://ror.org/03yacj906","country_code":"IN","type":"education","lineage":["https://openalex.org/I154549908"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Rishabh Ranjan","raw_affiliation_strings":["Indian Institute of Technology, Jodhpur,Jodhpur,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology, Jodhpur,Jodhpur,India","institution_ids":["https://openalex.org/I154549908"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102635118","display_name":"Bikash Dutta","orcid":null},"institutions":[{"id":"https://openalex.org/I154549908","display_name":"Indian Institute of Technology Jodhpur","ror":"https://ror.org/03yacj906","country_code":"IN","type":"education","lineage":["https://openalex.org/I154549908"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Bikash Dutta","raw_affiliation_strings":["Indian Institute of Technology, Jodhpur,Jodhpur,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology, Jodhpur,Jodhpur,India","institution_ids":["https://openalex.org/I154549908"]}]},{"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/I154549908","display_name":"Indian Institute of Technology Jodhpur","ror":"https://ror.org/03yacj906","country_code":"IN","type":"education","lineage":["https://openalex.org/I154549908"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Mayank Vatsa","raw_affiliation_strings":["Indian Institute of Technology, Jodhpur,Jodhpur,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology, Jodhpur,Jodhpur,India","institution_ids":["https://openalex.org/I154549908"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101477779","display_name":"Richa Singh","orcid":"https://orcid.org/0000-0002-9391-958X"},"institutions":[{"id":"https://openalex.org/I154549908","display_name":"Indian Institute of Technology Jodhpur","ror":"https://ror.org/03yacj906","country_code":"IN","type":"education","lineage":["https://openalex.org/I154549908"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Richa Singh","raw_affiliation_strings":["Indian Institute of Technology, Jodhpur,Jodhpur,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology, Jodhpur,Jodhpur,India","institution_ids":["https://openalex.org/I154549908"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I154549908"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"10"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12357","display_name":"Digital Media Forensic Detection","score":0.47940000891685486,"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":0.47940000891685486,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.41269999742507935,"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"}},{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.4032999873161316,"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/heel","display_name":"Heel","score":0.8334857225418091},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6656192541122437},{"id":"https://openalex.org/keywords/fluent","display_name":"Fluent","score":0.5944855213165283},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.511132538318634},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.36894577741622925},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.327363520860672},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.17321157455444336},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.13341179490089417},{"id":"https://openalex.org/keywords/anatomy","display_name":"Anatomy","score":0.1247020959854126}],"concepts":[{"id":"https://openalex.org/C2777248721","wikidata":"https://www.wikidata.org/wiki/Q174647","display_name":"Heel","level":2,"score":0.8334857225418091},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6656192541122437},{"id":"https://openalex.org/C2780411076","wikidata":"https://www.wikidata.org/wiki/Q5462653","display_name":"Fluent","level":3,"score":0.5944855213165283},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.511132538318634},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.36894577741622925},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.327363520860672},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.17321157455444336},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.13341179490089417},{"id":"https://openalex.org/C105702510","wikidata":"https://www.wikidata.org/wiki/Q514","display_name":"Anatomy","level":1,"score":0.1247020959854126},{"id":"https://openalex.org/C500300565","wikidata":"https://www.wikidata.org/wiki/Q925667","display_name":"Computer simulation","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcb62174.2024.10744454","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/ijcb62174.2024.10744454","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Joint Conference on Biometrics (IJCB)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W2094721231","https://openalex.org/W2176804518","https://openalex.org/W2936802426","https://openalex.org/W2967606780","https://openalex.org/W3024920698","https://openalex.org/W3160325739","https://openalex.org/W3163596559","https://openalex.org/W3175036090","https://openalex.org/W3196837826","https://openalex.org/W3197358873","https://openalex.org/W3200167423","https://openalex.org/W3201773091","https://openalex.org/W4225527248","https://openalex.org/W4297841787","https://openalex.org/W4311737082","https://openalex.org/W4367046815","https://openalex.org/W4385763728","https://openalex.org/W4385822371","https://openalex.org/W4385822395","https://openalex.org/W4385822967","https://openalex.org/W4386302282","https://openalex.org/W4395065405","https://openalex.org/W4402351686","https://openalex.org/W6779192484","https://openalex.org/W6855853421","https://openalex.org/W6864895810"],"related_works":["https://openalex.org/W2772917594","https://openalex.org/W2036807459","https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398"],"abstract_inverted_index":{"With":[0],"the":[1,8,23,43,48,91,113,165,177,181,188,194],"rapid":[2],"advancement":[3],"of":[4,10,25,38,50,183,196,200,206],"deep":[5],"learning":[6],"techniques,":[7],"generation":[9],"audio":[11,26,52,85,184],"deepfakes":[12],"has":[13],"achieved":[14],"remarkable":[15],"realism":[16],"across":[17,56,69,100,144,187],"various":[18],"languages":[19,58,161],"and":[20,59,94,112,118,127,170,192],"accents.":[21,60],"However,":[22],"effectiveness":[24,68],"deepfake":[27,53,86,185],"detection":[28,54,87,172,186],"models":[29,65,88,134,156,198],"in":[30,76,154],"diverse":[31,102,145],"linguistic":[32,71,146,190],"environments":[33],"remains":[34],"a":[35,121],"crucial":[36],"area":[37],"investigation.":[39],"This":[40],"paper":[41],"presents":[42],"first":[44],"empirical":[45],"study":[46],"on":[47,90,137],"robustness":[49,182],"current":[51,133],"algorithms":[55],"different":[57,122],"We":[61,150],"evaluate":[62],"whether":[63],"these":[64],"maintain":[66],"their":[67,98,140],"varied":[70],"domains":[72],"or":[73,162,208],"perform":[74,135],"better":[75],"specific":[77],"language":[78,123,207],"contexts.":[79],"Our":[80,125,174],"comprehensive":[81],"analysis":[82,129],"examines":[83],"state-of-the-art":[84],"trained":[89],"ASVspoof":[92],"2019":[93],"BhashaBluff":[95],"datasets,":[96,139],"assessing":[97],"performance":[99],"four":[101],"datasets:":[103],"three":[104],"representing":[105,120],"similar-language":[106],"variations":[107],"(Speech":[108],"Accent":[109,116],"Archive,":[110],"Svarah,":[111],"UK":[114],"English":[115],"Dataset)":[117],"one":[119],"(Vaani).":[124],"results":[126,175],"supporting":[128],"indicate":[130],"that":[131],"while":[132],"well":[136],"benchmark":[138],"ability":[141],"to":[142,179],"generalize":[143],"conditions":[147],"is":[148],"limited.":[149],"identify":[151],"potential":[152],"vulnerabilities":[153],"existing":[155],"when":[157],"faced":[158],"with":[159],"unfamiliar":[160],"accents,":[163],"highlighting":[164],"need":[166,178],"for":[167],"more":[168],"inclusive":[169],"adaptable":[171],"systems.":[173],"highlight":[176],"enhance":[180],"global":[189],"spectrum":[191],"emphasize":[193],"importance":[195],"developing":[197],"capable":[199],"effectively":[201],"identifying":[202],"synthetic":[203],"speech,":[204],"regardless":[205],"accent.":[209]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
