{"id":"https://openalex.org/W4362660681","doi":"https://doi.org/10.1145/3579987.3586562","title":"Deepfake Detection","display_name":"Deepfake Detection","publication_year":2023,"publication_date":"2023-04-06","ids":{"openalex":"https://openalex.org/W4362660681","doi":"https://doi.org/10.1145/3579987.3586562"},"language":"en","primary_location":{"id":"doi:10.1145/3579987.3586562","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3579987.3586562","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 9th ACM International Workshop on Security and Privacy Analytics","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/A5067060148","display_name":"Md. Shohel Rana","orcid":"https://orcid.org/0000-0001-6626-4189"},"institutions":[{"id":"https://openalex.org/I201193091","display_name":"Stephen F. Austin State University","ror":"https://ror.org/00hq0e369","country_code":"US","type":"education","lineage":["https://openalex.org/I201193091"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Md Shohel Rana","raw_affiliation_strings":["Stephen F. Austin State University, Nacogdoches, TX, USA"],"raw_orcid":"https://orcid.org/0000-0001-6626-4189","affiliations":[{"raw_affiliation_string":"Stephen F. Austin State University, Nacogdoches, TX, USA","institution_ids":["https://openalex.org/I201193091"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5027821975","display_name":"Andrew H. Sung","orcid":"https://orcid.org/0009-0005-0815-3102"},"institutions":[{"id":"https://openalex.org/I44854399","display_name":"University of Southern Mississippi","ror":"https://ror.org/0270vfa57","country_code":"US","type":"education","lineage":["https://openalex.org/I4210141039","https://openalex.org/I44854399"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Andrew H. Sung","raw_affiliation_strings":["The University of Southern Mississippi, Hattiesburg, MS, USA"],"raw_orcid":"https://orcid.org/0009-0005-0815-3102","affiliations":[{"raw_affiliation_string":"The University of Southern Mississippi, Hattiesburg, MS, USA","institution_ids":["https://openalex.org/I44854399"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.0924,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.84686469,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"55","last_page":"56"},"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":0.9998000264167786,"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":0.9998000264167786,"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":0.9998000264167786,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9957000017166138,"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":0.8237574696540833},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6343699097633362},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.6054379940032959},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5373223423957825},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4688466787338257},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.4541068971157074},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.45029187202453613}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8237574696540833},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6343699097633362},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.6054379940032959},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5373223423957825},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4688466787338257},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4541068971157074},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.45029187202453613},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","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},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3579987.3586562","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3579987.3586562","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 9th ACM International Workshop on Security and Privacy Analytics","raw_type":"proceedings-article"},{"id":"pmh:oai:aquila.usm.edu:fac_pubs-22347","is_oa":false,"landing_page_url":"https://aquila.usm.edu/fac_pubs/21004","pdf_url":null,"source":{"id":"https://openalex.org/S4306402529","display_name":"Aquila Digital Community (University of Southern Mississippi)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I44854399","host_organization_name":"University of Southern Mississippi","host_organization_lineage":["https://openalex.org/I44854399"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Faculty Publications","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.4300000071525574}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W1834627138","https://openalex.org/W2738406145","https://openalex.org/W2906447902","https://openalex.org/W2962793481","https://openalex.org/W2982058372","https://openalex.org/W3034713808","https://openalex.org/W4213449918","https://openalex.org/W4245551996"],"related_works":["https://openalex.org/W2378211422","https://openalex.org/W2745001401","https://openalex.org/W4321353415","https://openalex.org/W2130974462","https://openalex.org/W972276598","https://openalex.org/W4246352526","https://openalex.org/W2028665553","https://openalex.org/W4230315250","https://openalex.org/W2086519370","https://openalex.org/W4380075502"],"abstract_inverted_index":{"This":[0],"tutorial":[1,39],"presents":[2],"developments":[3],"on":[4],"the":[5,94,114,121],"detection":[6,43,78,97,103,127],"of":[7,96,101,123],"Deepfakes,":[8],"which":[9],"are":[10,90],"realistic":[11],"images,":[12],"audios":[13],"and":[14,29,36,45,87,111,129,135],"videos":[15],"created":[16],"using":[17],"deep":[18],"learning":[19],"techniques.":[20],"Deepfakes":[21,66],"can":[22,62],"be":[23],"readily":[24],"used":[25],"for":[26,120],"malicious":[27],"purposes":[28],"pose":[30],"a":[31],"serious":[32],"threat":[33],"to":[34,51,75,92,107,131],"privacy":[35],"security.":[37],"The":[38,80],"summarizes":[40],"recent":[41],"Deepfake":[42,102,126],"techniques":[44,104],"evaluates":[46],"their":[47],"effectiveness":[48],"with":[49],"respect":[50],"several":[52],"benchmark":[53],"datasets.":[54],"Our":[55],"study":[56,81],"finds":[57],"that":[58,84],"no":[59],"single":[60],"method":[61],"reliably":[63],"detect":[64],"all":[65],"and,":[67],"therefore,":[68],"combining":[69],"multiple":[70],"methods":[71,128],"is":[72,105],"often":[73],"necessary":[74],"achieve":[76],"high":[77],"rates.":[79],"also":[82],"suggests":[83],"more":[85,124],"extensive":[86],"diverse":[88],"datasets":[89],"needed":[91],"improve":[93],"accuracy":[95],"algorithms.":[98],"A":[99],"taxonomy":[100],"introduced":[106],"aid":[108],"future":[109],"research":[110],"development":[112,122],"in":[113],"field.":[115],"We":[116],"conclude":[117],"by":[118],"calling":[119],"effective":[125],"countermeasures":[130],"combat":[132],"this":[133],"evolving":[134],"spreading":[136],"threat.":[137]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":5}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2023-04-07T00:00:00"}
