{"id":"https://openalex.org/W7164884130","doi":"https://doi.org/10.1145/3785353.3815097","title":"Cover-Source Mismatch in Deepfake Detection: A Systematic Study","display_name":"Cover-Source Mismatch in Deepfake Detection: A Systematic Study","publication_year":2026,"publication_date":"2026-06-16","ids":{"openalex":"https://openalex.org/W7164884130","doi":"https://doi.org/10.1145/3785353.3815097"},"language":null,"primary_location":{"id":"doi:10.1145/3785353.3815097","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3785353.3815097","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2026 ACM Workshop on Information Hiding and Multimedia Security","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3785353.3815097","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5072419052","display_name":"Jan Franc\u016f","orcid":null},"institutions":[{"id":"https://openalex.org/I44504214","display_name":"Czech Technical University in Prague","ror":"https://ror.org/03kqpb082","country_code":"CZ","type":"education","lineage":["https://openalex.org/I44504214"]}],"countries":["CZ"],"is_corresponding":false,"raw_author_name":"Jan Francu","raw_affiliation_strings":["Faculty of Electrical Engineering, Czech Technical University, Prague, Czech Republic"],"raw_orcid":"https://orcid.org/0000-0002-8588-4217","affiliations":[{"raw_affiliation_string":"Faculty of Electrical Engineering, Czech Technical University, Prague, Czech Republic","institution_ids":["https://openalex.org/I44504214"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050267602","display_name":"Milan Pape\u017e","orcid":"https://orcid.org/0000-0002-6700-081X"},"institutions":[{"id":"https://openalex.org/I44504214","display_name":"Czech Technical University in Prague","ror":"https://ror.org/03kqpb082","country_code":"CZ","type":"education","lineage":["https://openalex.org/I44504214"]}],"countries":["CZ"],"is_corresponding":false,"raw_author_name":"Milan Papez","raw_affiliation_strings":["Faculty of Electrical Engineering, Czech Technical University, Prague, Czech Republic"],"raw_orcid":"https://orcid.org/0000-0002-6700-081X","affiliations":[{"raw_affiliation_string":"Faculty of Electrical Engineering, Czech Technical University, Prague, Czech Republic","institution_ids":["https://openalex.org/I44504214"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5059337672","display_name":"Tom\u00e1\u0161 Pevn\u00fd","orcid":"https://orcid.org/0000-0002-5768-9713"},"institutions":[{"id":"https://openalex.org/I44504214","display_name":"Czech Technical University in Prague","ror":"https://ror.org/03kqpb082","country_code":"CZ","type":"education","lineage":["https://openalex.org/I44504214"]}],"countries":["CZ"],"is_corresponding":false,"raw_author_name":"Tomas Pevny","raw_affiliation_strings":["Faculty of Electrical Engineering, Czech Technical University, Prague, Czech Republic"],"raw_orcid":"https://orcid.org/0000-0002-5768-9713","affiliations":[{"raw_affiliation_string":"Faculty of Electrical Engineering, Czech Technical University, Prague, Czech Republic","institution_ids":["https://openalex.org/I44504214"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I44504214"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.74961661,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"28","last_page":"39"},"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":0.4343999922275543,"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":0.4343999922275543,"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":0.2515999972820282,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.1137000024318695,"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/exploit","display_name":"Exploit","score":0.7099000215530396},{"id":"https://openalex.org/keywords/bottleneck","display_name":"Bottleneck","score":0.6793000102043152},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.669700026512146},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5975000262260437},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.4259999990463257},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.41929998993873596},{"id":"https://openalex.org/keywords/pipeline-transport","display_name":"Pipeline transport","score":0.4016999900341034},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.37529999017715454}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7483999729156494},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.7099000215530396},{"id":"https://openalex.org/C2780513914","wikidata":"https://www.wikidata.org/wiki/Q18210350","display_name":"Bottleneck","level":2,"score":0.6793000102043152},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.669700026512146},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5975000262260437},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5058000087738037},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.4259999990463257},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.41929998993873596},{"id":"https://openalex.org/C175309249","wikidata":"https://www.wikidata.org/wiki/Q725864","display_name":"Pipeline transport","level":2,"score":0.4016999900341034},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.37959998846054077},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.37529999017715454},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.36809998750686646},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.34310001134872437},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.34299999475479126},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.33169999718666077},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.32820001244544983},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3151000142097473},{"id":"https://openalex.org/C2776434776","wikidata":"https://www.wikidata.org/wiki/Q19246213","display_name":"Domain adaptation","level":3,"score":0.30390000343322754},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.29600000381469727},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.2558000087738037},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.2535000145435333},{"id":"https://openalex.org/C70437156","wikidata":"https://www.wikidata.org/wiki/Q7228652","display_name":"Pooling","level":2,"score":0.2529999911785126},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.25290000438690186}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3785353.3815097","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3785353.3815097","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2026 ACM Workshop on Information Hiding and Multimedia Security","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3785353.3815097","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3785353.3815097","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2026 ACM Workshop on Information Hiding and Multimedia Security","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G7608804957","display_name":null,"funder_award_id":"GACR 25-17259K","funder_id":"https://openalex.org/F4320309207","funder_display_name":"Grant Foundation"}],"funders":[{"id":"https://openalex.org/F4320309207","display_name":"Grant Foundation","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W2007861216","https://openalex.org/W2055745001","https://openalex.org/W2108598243","https://openalex.org/W2960934316","https://openalex.org/W2995695852","https://openalex.org/W3033488926","https://openalex.org/W3139371685","https://openalex.org/W3212366440","https://openalex.org/W4288287305","https://openalex.org/W4289106821","https://openalex.org/W4321471472","https://openalex.org/W4380993529","https://openalex.org/W4383472654","https://openalex.org/W4389370799","https://openalex.org/W4401520245","https://openalex.org/W4402726899","https://openalex.org/W4403577912","https://openalex.org/W4415025023","https://openalex.org/W4415936841","https://openalex.org/W4415976079","https://openalex.org/W4417063387","https://openalex.org/W4417172205","https://openalex.org/W7119122088","https://openalex.org/W7133198189"],"related_works":[],"abstract_inverted_index":{"AI-generated":[0],"image":[1,46,130],"detectors":[2,57,79,111],"achieve":[3],"near-perfect":[4],"accuracy":[5],"under":[6,95],"controlled":[7,43],"conditions":[8],"but":[9,33],"fail":[10],"dramatically":[11],"when":[12],"deployed":[13],"on":[14,82],"images":[15,106],"with":[16],"different":[17],"processing":[18,47,131],"pipelines.":[19],"This":[20],"failure":[21],"is":[22,133],"analogous":[23],"to":[24,135],"cover-source":[25],"mismatch":[26],"(CSM),":[27],"well-understood":[28],"in":[29,35,123],"steganalysis":[30],"for":[31],"decades":[32],"unexplored":[34],"deepfake":[36,124],"detection.":[37],"We":[38,76],"investigate":[39],"this":[40],"bottleneck":[41,122],"through":[42],"experiments":[44],"where":[45],"pipelines":[48,132],"and":[49,73,104,126],"semantic":[50,71,87,100],"content":[51,101],"are":[52],"precisely":[53],"manipulated.":[54],"Using":[55],"contemporary":[56],"as":[58],"case":[59],"studies,":[60],"we":[61],"characterize":[62],"robustness":[63],"across":[64],"three":[65],"distribution":[66],"shift":[67],"dimensions:":[68],"pipeline":[69,83],"shifts,":[70,72],"image-space":[74],"shifts.":[75],"find":[77],"that":[78,91,110,128],"rely":[80],"predominantly":[81],"artifacts":[84],"rather":[85],"than":[86],"signals,":[88],"a":[89],"dependence":[90],"renders":[92],"them":[93],"brittle":[94],"real-world":[96],"deployment.":[97],"Notably,":[98],"matching":[99],"between":[102],"generated":[103],"camera":[105],"paradoxically":[107],"degrades":[108],"robustness\u2014evidence":[109],"exploit":[112],"fragile":[113],"pixel-level":[114],"artifacts.":[115],"Our":[116],"work":[117],"formalizes":[118],"the":[119],"domain":[120],"adaptation":[121],"detection":[125],"suggests":[127],"understanding":[129],"fundamental":[134],"building":[136],"generalizable":[137],"detectors.":[138]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2026-06-17T00:00:00"}
