{"id":"https://openalex.org/W4409983181","doi":"https://doi.org/10.1137/1.9781611978520.32","title":"Blue Sky: Expert-in-the-Loop Representation Learning Framework for Audio Anti-Spoofing: Multimodal, Multilingual, Multi-speaker, Multi-attack (4M) Scenarios","display_name":"Blue Sky: Expert-in-the-Loop Representation Learning Framework for Audio Anti-Spoofing: Multimodal, Multilingual, Multi-speaker, Multi-attack (4M) Scenarios","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4409983181","doi":"https://doi.org/10.1137/1.9781611978520.32"},"language":"en","primary_location":{"id":"doi:10.1137/1.9781611978520.32","is_oa":false,"landing_page_url":"https://doi.org/10.1137/1.9781611978520.32","pdf_url":null,"source":{"id":"https://openalex.org/S4306463922","display_name":"Society for Industrial and Applied Mathematics eBooks","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320508","host_organization_name":"Society for Industrial and Applied Mathematics","host_organization_lineage":["https://openalex.org/P4310320508"],"host_organization_lineage_names":["Society for Industrial and Applied Mathematics"],"type":"ebook platform"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2025 SIAM International Conference on Data Mining (SDM)","raw_type":"book-chapter"},"type":"book-chapter","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/A5025228118","display_name":"Zahra Khanjani","orcid":null},"institutions":[{"id":"https://openalex.org/I79272384","display_name":"University of Maryland, Baltimore County","ror":"https://ror.org/02qskvh78","country_code":"US","type":"education","lineage":["https://openalex.org/I79272384"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Zahra Khanjani","raw_affiliation_strings":["University of Maryland Baltimore County"],"affiliations":[{"raw_affiliation_string":"University of Maryland Baltimore County","institution_ids":["https://openalex.org/I79272384"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063541070","display_name":"Vandana P. Janeja","orcid":"https://orcid.org/0000-0003-0130-6135"},"institutions":[{"id":"https://openalex.org/I79272384","display_name":"University of Maryland, Baltimore County","ror":"https://ror.org/02qskvh78","country_code":"US","type":"education","lineage":["https://openalex.org/I79272384"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Vandana P. Janeja","raw_affiliation_strings":["Corresponding author","University of Maryland Baltimore County"],"affiliations":[{"raw_affiliation_string":"Corresponding author","institution_ids":[]},{"raw_affiliation_string":"University of Maryland Baltimore County","institution_ids":["https://openalex.org/I79272384"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047324018","display_name":"Christine Mallinson","orcid":"https://orcid.org/0000-0002-8988-5399"},"institutions":[{"id":"https://openalex.org/I79272384","display_name":"University of Maryland, Baltimore County","ror":"https://ror.org/02qskvh78","country_code":"US","type":"education","lineage":["https://openalex.org/I79272384"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Christine Mallinson","raw_affiliation_strings":["University of Maryland Baltimore County"],"affiliations":[{"raw_affiliation_string":"University of Maryland Baltimore County","institution_ids":["https://openalex.org/I79272384"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5017846156","display_name":"Sanjay Purushotham","orcid":"https://orcid.org/0000-0003-4315-7916"},"institutions":[{"id":"https://openalex.org/I79272384","display_name":"University of Maryland, Baltimore County","ror":"https://ror.org/02qskvh78","country_code":"US","type":"education","lineage":["https://openalex.org/I79272384"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sanjay Purushotham","raw_affiliation_strings":["University of Maryland Baltimore County"],"affiliations":[{"raw_affiliation_string":"University of Maryland Baltimore County","institution_ids":["https://openalex.org/I79272384"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5025228118"],"corresponding_institution_ids":["https://openalex.org/I79272384"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.25059952,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"327","last_page":"330"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12357","display_name":"Digital Media Forensic Detection","score":0.9412999749183655,"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":0.9412999749183655,"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/T11309","display_name":"Music and Audio Processing","score":0.929099977016449,"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/T10201","display_name":"Speech Recognition and Synthesis","score":0.9121999740600586,"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":0.6457761526107788},{"id":"https://openalex.org/keywords/spoofing-attack","display_name":"Spoofing attack","score":0.5168033838272095},{"id":"https://openalex.org/keywords/loop","display_name":"Loop (graph theory)","score":0.5122429728507996},{"id":"https://openalex.org/keywords/sky","display_name":"Sky","score":0.5019340515136719},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4727248549461365},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.4695219397544861},{"id":"https://openalex.org/keywords/multimedia","display_name":"Multimedia","score":0.322170615196228},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.14600908756256104},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.07852402329444885},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.057149529457092285},{"id":"https://openalex.org/keywords/political-science","display_name":"Political science","score":0.046382784843444824}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6457761526107788},{"id":"https://openalex.org/C167900197","wikidata":"https://www.wikidata.org/wiki/Q11081100","display_name":"Spoofing attack","level":2,"score":0.5168033838272095},{"id":"https://openalex.org/C184670325","wikidata":"https://www.wikidata.org/wiki/Q512604","display_name":"Loop (graph theory)","level":2,"score":0.5122429728507996},{"id":"https://openalex.org/C73329638","wikidata":"https://www.wikidata.org/wiki/Q527","display_name":"Sky","level":2,"score":0.5019340515136719},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4727248549461365},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4695219397544861},{"id":"https://openalex.org/C49774154","wikidata":"https://www.wikidata.org/wiki/Q131765","display_name":"Multimedia","level":1,"score":0.322170615196228},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.14600908756256104},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.07852402329444885},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.057149529457092285},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.046382784843444824},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1137/1.9781611978520.32","is_oa":false,"landing_page_url":"https://doi.org/10.1137/1.9781611978520.32","pdf_url":null,"source":{"id":"https://openalex.org/S4306463922","display_name":"Society for Industrial and Applied Mathematics eBooks","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320508","host_organization_name":"Society for Industrial and Applied Mathematics","host_organization_lineage":["https://openalex.org/P4310320508"],"host_organization_lineage_names":["Society for Industrial and Applied Mathematics"],"type":"ebook platform"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2025 SIAM International Conference on Data Mining (SDM)","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.6200000047683716}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2188559950","https://openalex.org/W2998478967","https://openalex.org/W2989910292","https://openalex.org/W2123299109","https://openalex.org/W3128793638","https://openalex.org/W2021230337","https://openalex.org/W4401097268","https://openalex.org/W4391805690","https://openalex.org/W2607818178","https://openalex.org/W3153057489"],"abstract_inverted_index":{"Audio":[0],"spoofing":[1],"has":[2],"surged":[3],"with":[4],"the":[5,93],"rise":[6],"of":[7],"generative":[8],"artificial":[9],"intelligence,":[10],"posing":[11],"a":[12,64],"serious":[13],"threat":[14],"to":[15,43,52,78],"online":[16],"communication.":[17],"Recent":[18],"studies":[19],"have":[20],"shown":[21],"promising":[22],"avenues":[23],"in":[24,35,55,97],"detecting":[25],"spoofed":[26,56],"audio":[27,57,72,98],"specifically":[28],"those":[29],"that":[30,50,74],"use":[31],"human":[32],"expert":[33],"knowledge":[34],"representation":[36,69],"learning,":[37],"but":[38],"more":[39],"work":[40],"is":[41,75],"needed":[42],"evaluate":[44],"performance":[45],"across":[46],"various":[47],"realistic":[48],"scenarios":[49],"tend":[51],"pose":[53],"challenges":[54],"detection.":[58],"In":[59],"this":[60],"paper,":[61],"we":[62],"introduce":[63],"comprehensive":[65],"framework":[66],"for":[67,71],"expert-in-the-loop":[68],"learning":[70],"anti-spoofing":[73],"robust":[76],"enough":[77],"address":[79],"four":[80],"specific":[81],"challenging":[82],"scenarios.":[83],"Multimodal,":[84],"Multilingual,":[85],"Multi-speaker,":[86],"and":[87],"Multi-attack":[88],"(4M).":[89],"Preliminary":[90],"results":[91],"demonstrate":[92],"framework\u2019s":[94],"potential":[95],"effectiveness":[96],"anti-spoofing.":[99]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}