{"id":"https://openalex.org/W4412876909","doi":"https://doi.org/10.1145/3711896.3737399","title":"HiDF: A Human-Indistinguishable Deepfake Dataset","display_name":"HiDF: A Human-Indistinguishable Deepfake Dataset","publication_year":2025,"publication_date":"2025-08-03","ids":{"openalex":"https://openalex.org/W4412876909","doi":"https://doi.org/10.1145/3711896.3737399"},"language":"en","primary_location":{"id":"doi:10.1145/3711896.3737399","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3711896.3737399","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3711896.3737399","source":null,"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.2","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3711896.3737399","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5084396746","display_name":"Chaewon Kang","orcid":"https://orcid.org/0009-0008-5255-540X"},"institutions":[{"id":"https://openalex.org/I848706","display_name":"Sungkyunkwan University","ror":"https://ror.org/04q78tk20","country_code":"KR","type":"education","lineage":["https://openalex.org/I848706"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Chaewon Kang","raw_affiliation_strings":["Sungkyunkwan University, Seoul, Republic of Korea"],"raw_orcid":"https://orcid.org/0009-0008-5255-540X","affiliations":[{"raw_affiliation_string":"Sungkyunkwan University, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I848706"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109767484","display_name":"Seoyoon Jeong","orcid":null},"institutions":[{"id":"https://openalex.org/I848706","display_name":"Sungkyunkwan University","ror":"https://ror.org/04q78tk20","country_code":"KR","type":"education","lineage":["https://openalex.org/I848706"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Seoyoon Jeong","raw_affiliation_strings":["Sungkyunkwan University, Seoul, Republic of Korea"],"raw_orcid":"https://orcid.org/0009-0004-4601-5766","affiliations":[{"raw_affiliation_string":"Sungkyunkwan University, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I848706"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038842836","display_name":"J. Lee","orcid":null},"institutions":[{"id":"https://openalex.org/I848706","display_name":"Sungkyunkwan University","ror":"https://ror.org/04q78tk20","country_code":"KR","type":"education","lineage":["https://openalex.org/I848706"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jonghyun Lee","raw_affiliation_strings":["Sungkyunkwan University, Seoul, Republic of Korea"],"raw_orcid":"https://orcid.org/0009-0000-9824-3112","affiliations":[{"raw_affiliation_string":"Sungkyunkwan University, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I848706"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060507302","display_name":"Daejin Choi","orcid":"https://orcid.org/0000-0001-5070-360X"},"institutions":[{"id":"https://openalex.org/I146429904","display_name":"Incheon National University","ror":"https://ror.org/02xf7p935","country_code":"KR","type":"education","lineage":["https://openalex.org/I146429904"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Daejin Choi","raw_affiliation_strings":["Incheon National University, Incheon, Republic of Korea and Ewha Women's University, Seoul, Republic of Korea"],"raw_orcid":"https://orcid.org/0000-0001-5070-360X","affiliations":[{"raw_affiliation_string":"Incheon National University, Incheon, Republic of Korea and Ewha Women's University, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I146429904"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033106393","display_name":"Simon S. Woo","orcid":"https://orcid.org/0000-0002-8983-1542"},"institutions":[{"id":"https://openalex.org/I848706","display_name":"Sungkyunkwan University","ror":"https://ror.org/04q78tk20","country_code":"KR","type":"education","lineage":["https://openalex.org/I848706"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Simon S. Woo","raw_affiliation_strings":["Sungkyunkwan University, Suwon, Republic of Korea"],"raw_orcid":"https://orcid.org/0000-0002-8983-1542","affiliations":[{"raw_affiliation_string":"Sungkyunkwan University, Suwon, Republic of Korea","institution_ids":["https://openalex.org/I848706"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5012872041","display_name":"Jinyoung Han","orcid":"https://orcid.org/0000-0002-8911-2791"},"institutions":[{"id":"https://openalex.org/I848706","display_name":"Sungkyunkwan University","ror":"https://ror.org/04q78tk20","country_code":"KR","type":"education","lineage":["https://openalex.org/I848706"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jinyoung Han","raw_affiliation_strings":["Sungkyunkwan University, Seoul, Republic of Korea"],"raw_orcid":"https://orcid.org/0000-0002-8911-2791","affiliations":[{"raw_affiliation_string":"Sungkyunkwan University, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I848706"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"5527","last_page":"5538"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9983999729156494,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9983999729156494,"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/T11448","display_name":"Face recognition and analysis","score":0.9912999868392944,"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/T12357","display_name":"Digital Media Forensic Detection","score":0.9854999780654907,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6905839443206787},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3614257276058197}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6905839443206787},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3614257276058197}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3711896.3737399","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3711896.3737399","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3711896.3737399","source":null,"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.2","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3711896.3737399","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3711896.3737399","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3711896.3737399","source":null,"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.2","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4412876909.pdf"},"referenced_works_count":56,"referenced_works":["https://openalex.org/W1834627138","https://openalex.org/W1982471090","https://openalex.org/W2057780053","https://openalex.org/W2252355370","https://openalex.org/W2486034530","https://openalex.org/W2500279295","https://openalex.org/W2808631503","https://openalex.org/W2907327270","https://openalex.org/W2942074357","https://openalex.org/W2962770929","https://openalex.org/W2963684180","https://openalex.org/W2969985801","https://openalex.org/W2982058372","https://openalex.org/W2984700035","https://openalex.org/W2998605827","https://openalex.org/W3033037258","https://openalex.org/W3034795015","https://openalex.org/W3035574324","https://openalex.org/W3081492798","https://openalex.org/W3092709185","https://openalex.org/W3094359535","https://openalex.org/W3101631197","https://openalex.org/W3104218139","https://openalex.org/W3108281670","https://openalex.org/W3120485916","https://openalex.org/W3158766194","https://openalex.org/W3162380077","https://openalex.org/W3165842532","https://openalex.org/W3171662898","https://openalex.org/W3173850174","https://openalex.org/W3174171554","https://openalex.org/W3174508664","https://openalex.org/W3176990204","https://openalex.org/W3178572954","https://openalex.org/W3186436325","https://openalex.org/W3196204467","https://openalex.org/W4214684483","https://openalex.org/W4283802557","https://openalex.org/W4311185636","https://openalex.org/W4312388562","https://openalex.org/W4312823378","https://openalex.org/W4313127140","https://openalex.org/W4360993864","https://openalex.org/W4367318734","https://openalex.org/W4382318331","https://openalex.org/W4383337695","https://openalex.org/W4385801058","https://openalex.org/W4386071484","https://openalex.org/W4386075957","https://openalex.org/W4386076638","https://openalex.org/W4386076652","https://openalex.org/W4388851105","https://openalex.org/W4398226154","https://openalex.org/W4402715910","https://openalex.org/W4402772264","https://openalex.org/W6847681605"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"The":[0],"rapid":[1],"development":[2],"and":[3,19,97,105,131,153],"prevalence":[4],"of":[5,41,49,75,102,126],"generative":[6],"AI":[7],"have":[8,24,53,119],"made":[9],"it":[10,33,141],"easy":[11],"for":[12,148,159],"people":[13],"to":[14,36],"create":[15],"high-quality":[16,96],"deepfake":[17,43,61,80,92,99,133,149,161],"images":[18,104],"videos,":[20],"but":[21],"their":[22,76],"abuses":[23],"also":[25],"increased":[26],"exponentially.":[27],"To":[28,84],"mitigate":[29],"potential":[30],"social":[31],"disruption,":[32],"is":[34,109,138],"crucial":[35],"quickly":[37],"detect":[38],"the":[39,60,70,127],"authenticity":[40],"each":[42],"content":[44],"hidden":[45],"in":[46,64,73],"a":[47,90,95,110,144],"sea":[48],"information.":[50],"While":[51],"researchers":[52],"worked":[54],"on":[55],"developing":[56],"deep":[57],"learning-based":[58],"methods,":[59],"datasets":[62,81,134],"utilized":[63],"these":[65],"studies":[66],"are":[67,82,156],"far":[68],"from":[69],"real":[71],"world":[72],"terms":[74],"qualities;":[77],"most":[78],"popular":[79],"human-distinguishable.":[83],"address":[85],"this":[86],"problem,":[87],"we":[88],"present":[89],"novel":[91],"dataset,":[93],"HiDF,":[94],"human-indistinguishable":[98],"dataset":[100,113,147],"consisting":[101],"62K":[103],"8K":[106],"videos.":[107],"HiDF":[108,130,137],"meticulously":[111],"curated":[112],"that":[114,118,136],"includes":[115],"diverse":[116],"subjects":[117],"undergone":[120],"rigorous":[121],"quality":[122,128],"checks.":[123],"A":[124],"comparison":[125],"between":[129],"existing":[132],"demonstrates":[135],"human-indistinguishable.":[139],"Hence,":[140],"can":[142],"be":[143],"valuable":[145],"benchmark":[146],"detection":[150,162],"tasks.":[151],"Data":[152],"code":[154],"(https://github.com/DSAIL-SKKU/HiDF)":[155],"publicly":[157],"available":[158],"future":[160],"research.":[163]},"counts_by_year":[{"year":2026,"cited_by_count":6}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}