{"id":"https://openalex.org/W4391778999","doi":"https://doi.org/10.1186/s13640-024-00621-8","title":"Assessment framework for deepfake detection in real-world situations","display_name":"Assessment framework for deepfake detection in real-world situations","publication_year":2024,"publication_date":"2024-02-13","ids":{"openalex":"https://openalex.org/W4391778999","doi":"https://doi.org/10.1186/s13640-024-00621-8"},"language":"en","primary_location":{"id":"doi:10.1186/s13640-024-00621-8","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13640-024-00621-8","pdf_url":"https://jivp-eurasipjournals.springeropen.com/counter/pdf/10.1186/s13640-024-00621-8","source":{"id":"https://openalex.org/S153767265","display_name":"EURASIP Journal on Image and Video Processing","issn_l":"1687-5176","issn":["1687-5176","1687-5281"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Image and Video Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://jivp-eurasipjournals.springeropen.com/counter/pdf/10.1186/s13640-024-00621-8","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101616392","display_name":"Yuhang Lu","orcid":"https://orcid.org/0000-0001-8191-3167"},"institutions":[{"id":"https://openalex.org/I5124864","display_name":"\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne","ror":"https://ror.org/02s376052","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I5124864"]}],"countries":["CH"],"is_corresponding":true,"raw_author_name":"Yuhang Lu","raw_affiliation_strings":["Multimedia Signal Processing Group (MMSPG), \u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne (EPFL), Lausanne, Switzerland"],"raw_orcid":"https://orcid.org/0000-0001-8191-3167","affiliations":[{"raw_affiliation_string":"Multimedia Signal Processing Group (MMSPG), \u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne (EPFL), Lausanne, Switzerland","institution_ids":["https://openalex.org/I5124864"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082188773","display_name":"Touradj Ebrahimi","orcid":"https://orcid.org/0000-0002-9900-3687"},"institutions":[{"id":"https://openalex.org/I5124864","display_name":"\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne","ror":"https://ror.org/02s376052","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I5124864"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Touradj Ebrahimi","raw_affiliation_strings":["Multimedia Signal Processing Group (MMSPG), \u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne (EPFL), Lausanne, Switzerland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Multimedia Signal Processing Group (MMSPG), \u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne (EPFL), Lausanne, Switzerland","institution_ids":["https://openalex.org/I5124864"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5101616392"],"corresponding_institution_ids":["https://openalex.org/I5124864"],"apc_list":{"value":1665,"currency":"USD","value_usd":1665},"apc_paid":{"value":1634,"currency":"EUR","value_usd":1762},"fwci":7.8857,"has_fulltext":true,"cited_by_count":50,"citation_normalized_percentile":{"value":0.98541955,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"2024","issue":"1","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":0.9998000264167786,"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/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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9995999932289124,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.998199999332428,"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/biometrics","display_name":"Biometrics","score":0.7620612382888794},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5568472146987915},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.44891294836997986},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.34956806898117065}],"concepts":[{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.7620612382888794},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5568472146987915},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44891294836997986},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.34956806898117065}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1186/s13640-024-00621-8","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13640-024-00621-8","pdf_url":"https://jivp-eurasipjournals.springeropen.com/counter/pdf/10.1186/s13640-024-00621-8","source":{"id":"https://openalex.org/S153767265","display_name":"EURASIP Journal on Image and Video Processing","issn_l":"1687-5176","issn":["1687-5176","1687-5281"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Image and Video Processing","raw_type":"journal-article"},{"id":"pmh:oai:infoscience.epfl.ch:307791","is_oa":true,"landing_page_url":"https://infoscience.epfl.ch/handle/20.500.14299/203755","pdf_url":"https://infoscience.epfl.ch/bitstreams/c0b810ec-88e4-4a05-ad8e-d86e3c31a36b/download","source":{"id":"https://openalex.org/S4306400487","display_name":"Infoscience (Ecole Polytechnique F\u00e9d\u00e9rale de Lausanne)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"research article"},{"id":"pmh:oai:doaj.org/article:11f252d5043e48d4b53a245a40e91a82","is_oa":true,"landing_page_url":"https://doaj.org/article/11f252d5043e48d4b53a245a40e91a82","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"EURASIP Journal on Image and Video Processing, Vol 2024, Iss 1, Pp 1-27 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1186/s13640-024-00621-8","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13640-024-00621-8","pdf_url":"https://jivp-eurasipjournals.springeropen.com/counter/pdf/10.1186/s13640-024-00621-8","source":{"id":"https://openalex.org/S153767265","display_name":"EURASIP Journal on Image and Video Processing","issn_l":"1687-5176","issn":["1687-5176","1687-5281"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Image and Video Processing","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2724542678","display_name":null,"funder_award_id":"CHIST-ERA-19-XAI-011","funder_id":"https://openalex.org/F4320338463","funder_display_name":"CHIST-ERA"},{"id":"https://openalex.org/G4515944146","display_name":"Measuring and Improving Explainability for AI-based Face Recognition","funder_award_id":"195532","funder_id":"https://openalex.org/F4320320924","funder_display_name":"Schweizerischer Nationalfonds zur F\u00f6rderung der Wissenschaftlichen Forschung"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320320924","display_name":"Schweizerischer Nationalfonds zur F\u00f6rderung der Wissenschaftlichen Forschung","ror":"https://ror.org/00yjd3n13"},{"id":"https://openalex.org/F4320338463","display_name":"CHIST-ERA","ror":"https://ror.org/00rbzpz17"}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4391778999.pdf"},"referenced_works_count":52,"referenced_works":["https://openalex.org/W1493698890","https://openalex.org/W2019405222","https://openalex.org/W2108598243","https://openalex.org/W2136035751","https://openalex.org/W2508457857","https://openalex.org/W2511484725","https://openalex.org/W2531409750","https://openalex.org/W2755255259","https://openalex.org/W2902962850","https://openalex.org/W2911424785","https://openalex.org/W2942074357","https://openalex.org/W2952841512","https://openalex.org/W2962770929","https://openalex.org/W2962958939","https://openalex.org/W2963684180","https://openalex.org/W2963720850","https://openalex.org/W2963980515","https://openalex.org/W2967767914","https://openalex.org/W2981803355","https://openalex.org/W2982058372","https://openalex.org/W2984700035","https://openalex.org/W2990452356","https://openalex.org/W3017837134","https://openalex.org/W3034196597","https://openalex.org/W3034713808","https://openalex.org/W3034900344","https://openalex.org/W3035063907","https://openalex.org/W3035574324","https://openalex.org/W3036576316","https://openalex.org/W3083246145","https://openalex.org/W3094470648","https://openalex.org/W3094728142","https://openalex.org/W3100911280","https://openalex.org/W3104668471","https://openalex.org/W3106297436","https://openalex.org/W3108854358","https://openalex.org/W3133560326","https://openalex.org/W3174508664","https://openalex.org/W3174656926","https://openalex.org/W3174884257","https://openalex.org/W3175342695","https://openalex.org/W3176241004","https://openalex.org/W3177027279","https://openalex.org/W3183999072","https://openalex.org/W3184424762","https://openalex.org/W3196204467","https://openalex.org/W3207649350","https://openalex.org/W4292200154","https://openalex.org/W4297991541","https://openalex.org/W4308098456","https://openalex.org/W4312388562","https://openalex.org/W4312967678"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2076845124","https://openalex.org/W2183964146","https://openalex.org/W2062586268","https://openalex.org/W2379932303","https://openalex.org/W4300873085","https://openalex.org/W2019582947","https://openalex.org/W3147744369","https://openalex.org/W4241440711","https://openalex.org/W3212688212"],"abstract_inverted_index":{"Abstract":[0],"Detecting":[1],"digital":[2],"face":[3],"manipulation":[4],"in":[5,100,163],"images":[6],"and":[7,37,66,70,144,151],"video":[8,67],"has":[9,77],"attracted":[10],"extensive":[11,149],"attention":[12],"due":[13],"to":[14,18,92],"the":[15,23,43,61,94,105,112,124,142,147,184],"potential":[16],"risk":[17],"public":[19],"trust.":[20],"To":[21,104,140],"counteract":[22],"malicious":[24],"usage":[25,145],"of":[26,45,63,96,107,146,154,186],"such":[27,46],"techniques,":[28],"deep":[29],"learning-based":[30,97],"deepfake":[31,98,118,157,187],"detection":[32,75,158],"methods":[33,159],"have":[34,38],"been":[35,79],"employed":[36],"exhibited":[39],"remarkable":[40],"performance.":[41],"However,":[42],"performance":[44,95,126],"detectors":[47,99,119],"is":[48,90,111,179],"often":[49],"assessed":[50],"on":[51,74],"related":[52],"benchmarks":[53],"that":[54,120],"hardly":[55],"reflect":[56],"real-world":[57,128],"situations.":[58],"For":[59],"example,":[60],"impact":[62],"various":[64],"image":[65],"processing":[68,138,177],"operations":[69,178],"typical":[71],"workflow":[72],"distortions":[73],"accuracy":[76],"not":[78,121],"systematically":[80],"measured.":[81],"In":[82,166],"this":[83,164],"paper,":[84],"a":[85,168],"more":[86,101],"reliable":[87],"assessment":[88,115],"framework":[89],"proposed":[91],"evaluate":[93],"realistic":[102,176],"settings.":[103],"best":[106],"our":[108],"acknowledgment,":[109],"it":[110],"first":[113],"systematic":[114],"approach":[116],"for":[117],"only":[122],"reports":[123],"general":[125],"under":[127],"conditions":[129],"but":[130],"also":[131],"quantitatively":[132],"measures":[133],"their":[134],"robustness":[135,185],"toward":[136],"different":[137],"operations.":[139],"demonstrate":[141],"effectiveness":[143],"framework,":[148],"experiments":[150],"detailed":[152],"analysis":[153],"four":[155],"popular":[156],"are":[160],"further":[161],"presented":[162],"paper.":[165],"addition,":[167],"stochastic":[169],"degradation-based":[170],"data":[171],"augmentation":[172],"method":[173],"driven":[174],"by":[175],"designed,":[180],"which":[181],"significantly":[182],"improves":[183],"detectors.":[188]},"counts_by_year":[{"year":2026,"cited_by_count":10},{"year":2025,"cited_by_count":24},{"year":2024,"cited_by_count":14},{"year":2023,"cited_by_count":2}],"updated_date":"2026-07-23T08:03:31.855105","created_date":"2025-10-10T00:00:00"}