{"id":"https://openalex.org/W4405181438","doi":"https://doi.org/10.1145/3658644.3690311","title":"Trident of Poseidon: A Generalized Approach for Detecting Deepfake Voices","display_name":"Trident of Poseidon: A Generalized Approach for Detecting Deepfake Voices","publication_year":2024,"publication_date":"2024-12-02","ids":{"openalex":"https://openalex.org/W4405181438","doi":"https://doi.org/10.1145/3658644.3690311"},"language":"en","primary_location":{"id":"doi:10.1145/3658644.3690311","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3658644.3690311","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3658644.3690311","source":null,"license":"cc-by-nc-sa","license_id":"https://openalex.org/licenses/cc-by-nc-sa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 on ACM SIGSAC Conference on Computer and Communications Security","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3658644.3690311","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5064475040","display_name":"Thien-Phuc Doan","orcid":"https://orcid.org/0000-0001-7988-5953"},"institutions":[{"id":"https://openalex.org/I141371507","display_name":"Soongsil University","ror":"https://ror.org/017xnm587","country_code":"KR","type":"education","lineage":["https://openalex.org/I141371507"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Thien-Phuc Doan","raw_affiliation_strings":["Soongsil University, Seoul, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Soongsil University, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I141371507"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115060177","display_name":"Hung Dinh-Xuan","orcid":null},"institutions":[{"id":"https://openalex.org/I141371507","display_name":"Soongsil University","ror":"https://ror.org/017xnm587","country_code":"KR","type":"education","lineage":["https://openalex.org/I141371507"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Hung Dinh-Xuan","raw_affiliation_strings":["Soongsil University, Seoul, Korea, South (The Republic of)"],"affiliations":[{"raw_affiliation_string":"Soongsil University, Seoul, Korea, South (The Republic of)","institution_ids":["https://openalex.org/I141371507"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115060178","display_name":"Taewon Ryu","orcid":null},"institutions":[{"id":"https://openalex.org/I141371507","display_name":"Soongsil University","ror":"https://ror.org/017xnm587","country_code":"KR","type":"education","lineage":["https://openalex.org/I141371507"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Taewon Ryu","raw_affiliation_strings":["Soongsil University, Seoul, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Soongsil University, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I141371507"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115060179","display_name":"Inho Kim","orcid":"https://orcid.org/0009-0001-0876-1803"},"institutions":[{"id":"https://openalex.org/I141371507","display_name":"Soongsil University","ror":"https://ror.org/017xnm587","country_code":"KR","type":"education","lineage":["https://openalex.org/I141371507"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Inho Kim","raw_affiliation_strings":["Soongsil University, Seoul, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Soongsil University, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I141371507"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048089760","display_name":"Woongjae Lee","orcid":"https://orcid.org/0009-0001-7783-3022"},"institutions":[{"id":"https://openalex.org/I141371507","display_name":"Soongsil University","ror":"https://ror.org/017xnm587","country_code":"KR","type":"education","lineage":["https://openalex.org/I141371507"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Woongjae Lee","raw_affiliation_strings":["Soongsil University, Seoul, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Soongsil University, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I141371507"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062053307","display_name":"Kihun Hong","orcid":"https://orcid.org/0000-0002-5538-3630"},"institutions":[{"id":"https://openalex.org/I141371507","display_name":"Soongsil University","ror":"https://ror.org/017xnm587","country_code":"KR","type":"education","lineage":["https://openalex.org/I141371507"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Kihun Hong","raw_affiliation_strings":["Soongsil University, Seoul, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Soongsil University, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I141371507"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5031598830","display_name":"Souhwan Jung","orcid":"https://orcid.org/0000-0003-2676-3412"},"institutions":[{"id":"https://openalex.org/I141371507","display_name":"Soongsil University","ror":"https://ror.org/017xnm587","country_code":"KR","type":"education","lineage":["https://openalex.org/I141371507"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Souhwan Jung","raw_affiliation_strings":["Soongsil University, Seoul, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Soongsil University, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I141371507"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5064475040"],"corresponding_institution_ids":["https://openalex.org/I141371507"],"apc_list":null,"apc_paid":null,"fwci":1.7227,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.87505912,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"2222","last_page":"2235"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.9994999766349792,"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"}},"topics":[{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.9994999766349792,"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/T10860","display_name":"Speech and Audio Processing","score":0.9987000226974487,"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/T11309","display_name":"Music and Audio Processing","score":0.9965999722480774,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/generalizability-theory","display_name":"Generalizability theory","score":0.9149202704429626},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8581770658493042},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.6121337413787842},{"id":"https://openalex.org/keywords/threat-model","display_name":"Threat model","score":0.5776523947715759},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.5364148616790771},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5322800874710083},{"id":"https://openalex.org/keywords/trident","display_name":"Trident","score":0.512752890586853},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4733191430568695},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.4693717956542969},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.44490957260131836},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.3299976587295532},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.32423311471939087},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.12707319855690002}],"concepts":[{"id":"https://openalex.org/C27158222","wikidata":"https://www.wikidata.org/wiki/Q5532422","display_name":"Generalizability theory","level":2,"score":0.9149202704429626},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8581770658493042},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.6121337413787842},{"id":"https://openalex.org/C140547941","wikidata":"https://www.wikidata.org/wiki/Q7797194","display_name":"Threat model","level":2,"score":0.5776523947715759},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.5364148616790771},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5322800874710083},{"id":"https://openalex.org/C2777909563","wikidata":"https://www.wikidata.org/wiki/Q271628","display_name":"Trident","level":2,"score":0.512752890586853},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4733191430568695},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.4693717956542969},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.44490957260131836},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.3299976587295532},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.32423311471939087},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.12707319855690002},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C95457728","wikidata":"https://www.wikidata.org/wiki/Q309","display_name":"History","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3658644.3690311","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3658644.3690311","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3658644.3690311","source":null,"license":"cc-by-nc-sa","license_id":"https://openalex.org/licenses/cc-by-nc-sa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 on ACM SIGSAC Conference on Computer and Communications Security","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3658644.3690311","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3658644.3690311","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3658644.3690311","source":null,"license":"cc-by-nc-sa","license_id":"https://openalex.org/licenses/cc-by-nc-sa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 on ACM SIGSAC Conference on Computer and Communications Security","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4405181438.pdf"},"referenced_works_count":43,"referenced_works":["https://openalex.org/W1494198834","https://openalex.org/W1972134721","https://openalex.org/W2588445447","https://openalex.org/W2767118408","https://openalex.org/W2972473628","https://openalex.org/W2976159681","https://openalex.org/W2989571531","https://openalex.org/W3015338123","https://openalex.org/W3015516707","https://openalex.org/W3024920698","https://openalex.org/W3026777299","https://openalex.org/W3096806995","https://openalex.org/W3113824005","https://openalex.org/W3128666957","https://openalex.org/W3131786367","https://openalex.org/W3170179936","https://openalex.org/W3197358873","https://openalex.org/W3197762302","https://openalex.org/W3200167423","https://openalex.org/W3200636257","https://openalex.org/W3201016147","https://openalex.org/W3213029956","https://openalex.org/W4212774754","https://openalex.org/W4221138880","https://openalex.org/W4225288420","https://openalex.org/W4225420087","https://openalex.org/W4225527248","https://openalex.org/W4294903856","https://openalex.org/W4296069271","https://openalex.org/W4298394324","https://openalex.org/W4372270423","https://openalex.org/W4378105483","https://openalex.org/W4381198892","https://openalex.org/W4385822347","https://openalex.org/W4385822395","https://openalex.org/W4385823264","https://openalex.org/W4385823415","https://openalex.org/W4387540674","https://openalex.org/W4388856757","https://openalex.org/W4392910532","https://openalex.org/W4392910562","https://openalex.org/W4393156644","https://openalex.org/W6852909395"],"related_works":["https://openalex.org/W4230348452","https://openalex.org/W2118717649","https://openalex.org/W2413243053","https://openalex.org/W410723623","https://openalex.org/W2015341305","https://openalex.org/W2035068594","https://openalex.org/W4225593417","https://openalex.org/W2573498121","https://openalex.org/W3022298670","https://openalex.org/W2155206396"],"abstract_inverted_index":{"Deepfakes,":[0],"an":[1,28,32],"increasingly":[2],"prevalent":[3],"form":[4],"of":[5,43,49,58],"information":[6],"attack,":[7],"pose":[8],"serious":[9],"threats":[10],"to":[11,23,91],"security":[12],"and":[13,80,109],"privacy.":[14],"Deepfake":[15],"voice":[16,60,122],"attacks,":[17],"in":[18,106],"particular,":[19],"have":[20],"the":[21,41,56,89],"potential":[22],"cause":[24],"widespread":[25],"disruption,":[26],"creating":[27],"urgent":[29],"need":[30],"for":[31],"effective":[33],"detection":[34,61],"system.":[35],"In":[36],"this":[37],"research,":[38],"we":[39],"propose":[40],"Trident":[42],"Poseidon":[44],"-":[45],"a":[46],"novel":[47],"set":[48],"triad":[50],"training":[51],"strategies":[52],"aimed":[53],"at":[54],"enhancing":[55],"generalizability":[57],"deepfake":[59,121],"models.":[62],"Our":[63,96],"solution":[64],"comprises":[65],"three":[66],"key":[67],"components:":[68],"(1)":[69],"Supervised":[70],"Contrastive":[71],"Learning,":[72],"(2)":[73],"Hard":[74],"Negative":[75],"Mining":[76],"by":[77],"Audio":[78],"Re-synthesizing,":[79],"(3)":[81],"Effective":[82],"Proactive":[83],"Batch":[84],"Sampling.":[85],"Together,":[86],"these":[87],"enable":[88],"model":[90],"learn":[92],"more":[93],"robust":[94],"features.":[95],"extensive":[97],"experiments":[98],"demonstrate":[99],"that":[100],"our":[101],"approach":[102],"outperforms":[103],"existing":[104],"methods":[105],"both":[107],"in-domain":[108],"out-of-domain":[110],"testing":[111],"scenarios,":[112],"making":[113],"significant":[114],"strides":[115],"toward":[116],"securing":[117],"digital":[118],"media":[119],"against":[120],"attacks.":[123]},"counts_by_year":[{"year":2025,"cited_by_count":5}],"updated_date":"2026-04-03T22:45:19.894376","created_date":"2025-10-10T00:00:00"}
