{"id":"https://openalex.org/W7153322935","doi":"https://doi.org/10.48550/arxiv.2604.08184","title":"AT-ADD: All-Type Audio Deepfake Detection Challenge Evaluation Plan","display_name":"AT-ADD: All-Type Audio Deepfake Detection Challenge Evaluation Plan","publication_year":2026,"publication_date":"2026-04-09","ids":{"openalex":"https://openalex.org/W7153322935","doi":"https://doi.org/10.48550/arxiv.2604.08184"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2604.08184","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.08184","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2604.08184","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5133326592","display_name":"Yuankun Xie","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xie, Yuankun","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133337723","display_name":"Haonan Cheng","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Cheng, Haonan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133375788","display_name":"Jiayi Zhou","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhou, Jiayi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133343765","display_name":"Xiaoxuan Guo","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Guo, Xiaoxuan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133355683","display_name":"Tao Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Tao","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100783447","display_name":"Jian Liu","orcid":"https://orcid.org/0000-0003-0756-2260"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liu, Jian","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015751117","display_name":"Weiqiang Wang","orcid":"https://orcid.org/0009-0001-0181-2946"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Weiqiang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133366068","display_name":"Ruibo Fu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Fu, Ruibo","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133354910","display_name":"Xiaopeng Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Xiaopeng","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053365556","display_name":"Hengyan Huang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Huang, Hengyan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133352452","display_name":"Xiaoying Huang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Huang, Xiaoying","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133338598","display_name":"Long Ye","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ye, Long","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5133320964","display_name":"Guangtao Zhai","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhai, Guangtao","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"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":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12357","display_name":"Digital Media Forensic Detection","score":0.4325999915599823,"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":0.4325999915599823,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.1664000004529953,"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/T10201","display_name":"Speech Recognition and Synthesis","score":0.12370000034570694,"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/robustness","display_name":"Robustness (evolution)","score":0.5899999737739563},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.5781000256538391},{"id":"https://openalex.org/keywords/audio-analyzer","display_name":"Audio analyzer","score":0.4189000129699707},{"id":"https://openalex.org/keywords/audio-signal","display_name":"Audio signal","score":0.2976999878883362},{"id":"https://openalex.org/keywords/workflow","display_name":"Workflow","score":0.28529998660087585},{"id":"https://openalex.org/keywords/audio-signal-processing","display_name":"Audio signal processing","score":0.2815000116825104}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8339999914169312},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5899999737739563},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.5781000256538391},{"id":"https://openalex.org/C160372630","wikidata":"https://www.wikidata.org/wiki/Q4819855","display_name":"Audio analyzer","level":5,"score":0.4189000129699707},{"id":"https://openalex.org/C49774154","wikidata":"https://www.wikidata.org/wiki/Q131765","display_name":"Multimedia","level":1,"score":0.3603000044822693},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3425999879837036},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.32839998602867126},{"id":"https://openalex.org/C64922751","wikidata":"https://www.wikidata.org/wiki/Q4650799","display_name":"Audio signal","level":3,"score":0.2976999878883362},{"id":"https://openalex.org/C177212765","wikidata":"https://www.wikidata.org/wiki/Q627335","display_name":"Workflow","level":2,"score":0.28529998660087585},{"id":"https://openalex.org/C127220857","wikidata":"https://www.wikidata.org/wiki/Q2719318","display_name":"Audio signal processing","level":4,"score":0.2815000116825104},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.27810001373291016},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.27790001034736633},{"id":"https://openalex.org/C13895895","wikidata":"https://www.wikidata.org/wiki/Q3270773","display_name":"Speech coding","level":2,"score":0.2635999917984009},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.2630000114440918},{"id":"https://openalex.org/C174348530","wikidata":"https://www.wikidata.org/wiki/Q188635","display_name":"Bridging (networking)","level":2,"score":0.2628999948501587},{"id":"https://openalex.org/C157657479","wikidata":"https://www.wikidata.org/wiki/Q2367247","display_name":"Closed captioning","level":3,"score":0.25920000672340393},{"id":"https://openalex.org/C48798503","wikidata":"https://www.wikidata.org/wiki/Q877546","display_name":"Reputation","level":2,"score":0.25119999051094055}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2604.08184","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.08184","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2604.08184","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.08184","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[{"score":0.7552970051765442,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"The":[0],"rapid":[1],"advancement":[2],"of":[3,16,187,206],"Audio":[4,103,148],"Large":[5],"Language":[6],"Models":[7],"(ALLMs)":[8],"has":[9],"enabled":[10],"cost-effective,":[11],"high-fidelity":[12],"generation":[13,143],"and":[14,19,27,34,42,53,64,75,91,138,145,161,169,178,189,200],"manipulation":[15],"both":[17],"speech":[18,142,155],"non-speech":[20],"audio,":[21],"including":[22],"sound":[23],"effects,":[24],"singing":[25],"voices,":[26],"music.":[28,170],"While":[29],"these":[30,97],"capabilities":[31],"foster":[32],"creativity":[33],"content":[35],"production,":[36],"they":[37],"also":[38],"introduce":[39],"significant":[40],"security":[41],"trust":[43],"challenges,":[44],"as":[45,82,84],"realistic":[46],"audio":[47,58,89,159,191],"deepfakes":[48],"can":[49],"now":[50],"be":[51],"generated":[52],"disseminated":[54],"at":[55],"scale.":[56],"Existing":[57],"deepfake":[59],"detection":[60,153],"(ADD)":[61],"countermeasures":[62],"(CMs)":[63],"benchmarks,":[65],"however,":[66],"remain":[67],"largely":[68],"speech-centric,":[69],"often":[70],"relying":[71],"on":[72],"speech-specific":[73],"artifacts":[74],"exhibiting":[76],"limited":[77],"robustness":[78],"to":[79,87,114,156,183],"real-world":[80,136],"distortions,":[81],"well":[83],"restricted":[85],"generalization":[86,164],"heterogeneous":[88],"types":[90,160],"emerging":[92],"spoofing":[93],"techniques.":[94],"To":[95],"address":[96],"gaps,":[98],"we":[99],"propose":[100],"the":[101,185],"All-Type":[102,147],"Deepfake":[104,130,149],"Detection":[105],"(AT-ADD)":[106],"Grand":[107],"Challenge":[108],"for":[109],"ACM":[110],"Multimedia":[111],"2026,":[112],"designed":[113],"bridge":[115],"controlled":[116],"academic":[117],"evaluation":[118,176],"with":[119],"practical":[120],"multimedia":[121],"forensics.":[122],"AT-ADD":[123,181],"comprises":[124],"two":[125],"tracks:":[126],"(1)":[127],"Robust":[128],"Speech":[129],"Detection,":[131,150],"which":[132,151],"evaluates":[133],"detectors":[134],"under":[135],"scenarios":[137],"against":[139],"unseen,":[140],"state-of-the-art":[141],"methods;":[144],"(2)":[146],"extends":[152],"beyond":[154],"diverse,":[157],"unknown":[158],"promotes":[162],"type-agnostic":[163],"across":[165],"speech,":[166],"sound,":[167],"singing,":[168],"By":[171],"providing":[172],"standardized":[173],"datasets,":[174],"rigorous":[175],"protocols,":[177],"reproducible":[179],"baselines,":[180],"aims":[182],"accelerate":[184],"development":[186],"robust":[188],"generalizable":[190],"forensic":[192],"technologies,":[193],"supporting":[194],"secure":[195],"communication,":[196],"reliable":[197],"media":[198],"verification,":[199],"responsible":[201],"governance":[202],"in":[203],"an":[204],"era":[205],"pervasive":[207],"synthetic":[208],"audio.":[209]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-04-11T00:00:00"}
