{"id":"https://openalex.org/W4312865419","doi":"https://doi.org/10.1007/978-3-031-19781-9_2","title":"Explaining Deepfake Detection by\u00a0Analysing Image Matching","display_name":"Explaining Deepfake Detection by\u00a0Analysing Image Matching","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4312865419","doi":"https://doi.org/10.1007/978-3-031-19781-9_2"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-031-19781-9_2","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-031-19781-9_2","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"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/A5021819442","display_name":"Shichao Dong","orcid":"https://orcid.org/0000-0002-2043-7942"},"institutions":[{"id":"https://openalex.org/I4401726805","display_name":"Megvii (China)","ror":"https://ror.org/040b32p69","country_code":null,"type":"company","lineage":["https://openalex.org/I4401726805"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shichao Dong","raw_affiliation_strings":["MEGVII Technology, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"MEGVII Technology, Beijing, China","institution_ids":["https://openalex.org/I4401726805"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113414416","display_name":"Jin Wang","orcid":"https://orcid.org/0000-0002-8298-4378"},"institutions":[{"id":"https://openalex.org/I4401726805","display_name":"Megvii (China)","ror":"https://ror.org/040b32p69","country_code":null,"type":"company","lineage":["https://openalex.org/I4401726805"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jin Wang","raw_affiliation_strings":["MEGVII Technology, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"MEGVII Technology, Beijing, China","institution_ids":["https://openalex.org/I4401726805"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007289699","display_name":"Jiajun Liang","orcid":"https://orcid.org/0000-0001-5586-340X"},"institutions":[{"id":"https://openalex.org/I4401726805","display_name":"Megvii (China)","ror":"https://ror.org/040b32p69","country_code":null,"type":"company","lineage":["https://openalex.org/I4401726805"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiajun Liang","raw_affiliation_strings":["MEGVII Technology, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"MEGVII Technology, Beijing, China","institution_ids":["https://openalex.org/I4401726805"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080414420","display_name":"Haoqiang Fan","orcid":"https://orcid.org/0000-0002-7398-6873"},"institutions":[{"id":"https://openalex.org/I4401726805","display_name":"Megvii (China)","ror":"https://ror.org/040b32p69","country_code":null,"type":"company","lineage":["https://openalex.org/I4401726805"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haoqiang Fan","raw_affiliation_strings":["MEGVII Technology, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"MEGVII Technology, Beijing, China","institution_ids":["https://openalex.org/I4401726805"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000687163","display_name":"Renhe Ji","orcid":null},"institutions":[{"id":"https://openalex.org/I4401726805","display_name":"Megvii (China)","ror":"https://ror.org/040b32p69","country_code":null,"type":"company","lineage":["https://openalex.org/I4401726805"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Renhe Ji","raw_affiliation_strings":["MEGVII Technology, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"MEGVII Technology, Beijing, China","institution_ids":["https://openalex.org/I4401726805"]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4401726805"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":4.438,"has_fulltext":false,"cited_by_count":54,"citation_normalized_percentile":{"value":0.96066709,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"18","last_page":"35"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12357","display_name":"Digital Media Forensic Detection","score":0.9998999834060669,"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":0.9998999834060669,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9976000189781189,"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":0.8691905736923218},{"id":"https://openalex.org/keywords/artifact","display_name":"Artifact (error)","score":0.8396780490875244},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.7703465223312378},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6792580485343933},{"id":"https://openalex.org/keywords/perspective","display_name":"Perspective (graphical)","score":0.6627544164657593},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.629289984703064},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5282952785491943},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4652723968029022},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.45218557119369507},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.4341098666191101},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.42057543992996216},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.34033703804016113},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08501440286636353},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.056813716888427734}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8691905736923218},{"id":"https://openalex.org/C2779010991","wikidata":"https://www.wikidata.org/wiki/Q2720909","display_name":"Artifact (error)","level":2,"score":0.8396780490875244},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.7703465223312378},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6792580485343933},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.6627544164657593},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.629289984703064},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5282952785491943},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4652723968029022},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.45218557119369507},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.4341098666191101},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.42057543992996216},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.34033703804016113},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08501440286636353},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.056813716888427734},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-031-19781-9_2","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-031-19781-9_2","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.550000011920929}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W1593575857","https://openalex.org/W1849277567","https://openalex.org/W1915485278","https://openalex.org/W2009130368","https://openalex.org/W2073231946","https://openalex.org/W2117539524","https://openalex.org/W2194775991","https://openalex.org/W2295107390","https://openalex.org/W2301937176","https://openalex.org/W2412509443","https://openalex.org/W2487898712","https://openalex.org/W2603123944","https://openalex.org/W2735904389","https://openalex.org/W2752782242","https://openalex.org/W2765793020","https://openalex.org/W2786289897","https://openalex.org/W2891145043","https://openalex.org/W2942074357","https://openalex.org/W2962858109","https://openalex.org/W2962883557","https://openalex.org/W2963610729","https://openalex.org/W2963720850","https://openalex.org/W2963989815","https://openalex.org/W2979997102","https://openalex.org/W2982058372","https://openalex.org/W3034196597","https://openalex.org/W3034223443","https://openalex.org/W3034713808","https://openalex.org/W3121356232","https://openalex.org/W3122244192","https://openalex.org/W3174508664","https://openalex.org/W3174656926","https://openalex.org/W3175342695","https://openalex.org/W3176241004","https://openalex.org/W3183999072","https://openalex.org/W3188897163","https://openalex.org/W3192932902","https://openalex.org/W4214680478","https://openalex.org/W4214691743","https://openalex.org/W4226024856","https://openalex.org/W6600617704","https://openalex.org/W6638553918"],"related_works":["https://openalex.org/W52840052","https://openalex.org/W1741504538","https://openalex.org/W1687852313","https://openalex.org/W3029243869","https://openalex.org/W2019696434","https://openalex.org/W2502336004","https://openalex.org/W3162837891","https://openalex.org/W4308623176","https://openalex.org/W2358078963","https://openalex.org/W2023249001"],"abstract_inverted_index":null,"counts_by_year":[{"year":2026,"cited_by_count":6},{"year":2025,"cited_by_count":19},{"year":2024,"cited_by_count":20},{"year":2023,"cited_by_count":9}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
