{"id":"https://openalex.org/W4285044753","doi":"https://doi.org/10.1109/icme52920.2022.9859586","title":"Towards Intrinsic Common Discriminative Features Learning for Face Forgery Detection Using Adversarial Learning","display_name":"Towards Intrinsic Common Discriminative Features Learning for Face Forgery Detection Using Adversarial Learning","publication_year":2022,"publication_date":"2022-07-18","ids":{"openalex":"https://openalex.org/W4285044753","doi":"https://doi.org/10.1109/icme52920.2022.9859586"},"language":"en","primary_location":{"id":"doi:10.1109/icme52920.2022.9859586","doi":"https://doi.org/10.1109/icme52920.2022.9859586","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme52920.2022.9859586","pdf_url":null,"source":{"id":"https://openalex.org/S4363607799","display_name":"IEEE International Conference on Multimedia and Expo (ICME)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Multimedia and Expo (ICME)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2207.03776","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5088627439","display_name":"Wanyi Zhuang","orcid":"https://orcid.org/0000-0001-9305-1189","observed_orcids":["https://orcid.org/0000-0001-9305-1189"]},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wanyi Zhuang","raw_affiliation_strings":["University of Science and Technology of China,CAS Key Laboratory of Electromagnetic Space Information","CAS Key Laboratory of Electromagnetic Space Information, University of Science and Technology of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China,CAS Key Laboratory of Electromagnetic Space Information","institution_ids":["https://openalex.org/I126520041","https://openalex.org/I19820366"]},{"raw_affiliation_string":"CAS Key Laboratory of Electromagnetic Space Information, University of Science and Technology of China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045938154","display_name":"Qi Chu","orcid":"https://orcid.org/0000-0003-3028-0755","observed_orcids":["https://orcid.org/0000-0003-3028-0755"]},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qi Chu","raw_affiliation_strings":["University of Science and Technology of China,CAS Key Laboratory of Electromagnetic Space Information","CAS Key Laboratory of Electromagnetic Space Information, University of Science and Technology of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China,CAS Key Laboratory of Electromagnetic Space Information","institution_ids":["https://openalex.org/I126520041","https://openalex.org/I19820366"]},{"raw_affiliation_string":"CAS Key Laboratory of Electromagnetic Space Information, University of Science and Technology of China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100829793","display_name":"Haojie Yuan","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haojie Yuan","raw_affiliation_strings":["University of Science and Technology of China,CAS Key Laboratory of Electromagnetic Space Information","CAS Key Laboratory of Electromagnetic Space Information, University of Science and Technology of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China,CAS Key Laboratory of Electromagnetic Space Information","institution_ids":["https://openalex.org/I126520041","https://openalex.org/I19820366"]},{"raw_affiliation_string":"CAS Key Laboratory of Electromagnetic Space Information, University of Science and Technology of China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077867418","display_name":"Changtao Miao","orcid":"https://orcid.org/0000-0002-7634-9992","observed_orcids":["https://orcid.org/0000-0002-7634-9992"]},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Changtao Miao","raw_affiliation_strings":["University of Science and Technology of China,CAS Key Laboratory of Electromagnetic Space Information","CAS Key Laboratory of Electromagnetic Space Information, University of Science and Technology of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China,CAS Key Laboratory of Electromagnetic Space Information","institution_ids":["https://openalex.org/I126520041","https://openalex.org/I19820366"]},{"raw_affiliation_string":"CAS Key Laboratory of Electromagnetic Space Information, University of Science and Technology of China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100395493","display_name":"Bin Liu","orcid":"https://orcid.org/0000-0002-3977-8800","observed_orcids":["https://orcid.org/0000-0002-3977-8800"]},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bin Liu","raw_affiliation_strings":["University of Science and Technology of China,CAS Key Laboratory of Electromagnetic Space Information","CAS Key Laboratory of Electromagnetic Space Information, University of Science and Technology of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China,CAS Key Laboratory of Electromagnetic Space Information","institution_ids":["https://openalex.org/I126520041","https://openalex.org/I19820366"]},{"raw_affiliation_string":"CAS Key Laboratory of Electromagnetic Space Information, University of Science and Technology of China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064573190","display_name":"Nenghai Yu","orcid":"https://orcid.org/0000-0003-4417-9316","observed_orcids":["https://orcid.org/0000-0003-4417-9316"]},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Nenghai Yu","raw_affiliation_strings":["University of Science and Technology of China,CAS Key Laboratory of Electromagnetic Space Information","CAS Key Laboratory of Electromagnetic Space Information, University of Science and Technology of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China,CAS Key Laboratory of Electromagnetic Space Information","institution_ids":["https://openalex.org/I126520041","https://openalex.org/I19820366"]},{"raw_affiliation_string":"CAS Key Laboratory of Electromagnetic Space Information, University of Science and Technology of China","institution_ids":["https://openalex.org/I126520041"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.3992,"has_fulltext":true,"cited_by_count":22,"citation_normalized_percentile":{"value":0.88657495,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12357","display_name":"Digital Media Forensic Detection","score":0.9994999766349792,"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":0.9994999766349792,"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":9.999999747378752e-05,"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":0.0,"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/face-forgery-detection","display_name":"face forgery detection","score":0.9990000128746033},{"id":"https://openalex.org/keywords/adversarial-machine-learning","display_name":"adversarial learning","score":0.9440000057220459},{"id":"https://openalex.org/keywords/discriminative-representation-learning","display_name":"discriminative feature learning","score":0.7860000133514404},{"id":"https://openalex.org/keywords/cross-dataset-generalization","display_name":"cross-dataset generalization","score":0.7409999966621399}],"concepts":[{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.8418009281158447},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8051894903182983},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7574822902679443},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6735652089118958},{"id":"https://openalex.org/C2779803651","wikidata":"https://www.wikidata.org/wiki/Q5282088","display_name":"Discriminator","level":3,"score":0.6419600248336792},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.5673388242721558},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5518803596496582},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.5151111483573914},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.45058295130729675},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.4155259132385254},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.41394883394241333},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.35416823625564575},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12963348627090454},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.08274000883102417},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/icme52920.2022.9859586","doi":"https://doi.org/10.1109/icme52920.2022.9859586","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme52920.2022.9859586","pdf_url":null,"source":{"id":"https://openalex.org/S4363607799","display_name":"IEEE International Conference on Multimedia and Expo (ICME)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Multimedia and Expo (ICME)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2207.03776","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2207.03776","pdf_url":"https://arxiv.org/pdf/2207.03776","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-sa","license_id":"https://openalex.org/licenses/cc-by-nc-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.2207.03776","doi":"https://doi.org/10.48550/arxiv.2207.03776","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2207.03776","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2207.03776","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2207.03776","pdf_url":"https://arxiv.org/pdf/2207.03776","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-sa","license_id":"https://openalex.org/licenses/cc-by-nc-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"study_designs":[],"awards":[{"id":"https://openalex.org/G175089312","display_name":null,"funder_award_id":"U20B2047","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3003546210","display_name":null,"funder_award_id":"62002336,U20B2047","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4260595822","display_name":null,"funder_award_id":"YD3480002001","funder_id":"https://openalex.org/F4320325599","funder_display_name":"University of Science and Technology of China"},{"id":"https://openalex.org/G8557816227","display_name":null,"funder_award_id":"62002336","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320325599","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4285044753.pdf","grobid_xml":"https://content.openalex.org/works/W4285044753.grobid-xml"},"referenced_works_count":26,"referenced_works":["https://openalex.org/W1882958252","https://openalex.org/W2486034530","https://openalex.org/W2531409750","https://openalex.org/W2784874046","https://openalex.org/W2798658180","https://openalex.org/W2898877033","https://openalex.org/W2912336782","https://openalex.org/W2913399670","https://openalex.org/W2914447220","https://openalex.org/W2942074357","https://openalex.org/W2963351448","https://openalex.org/W2963720850","https://openalex.org/W2964313012","https://openalex.org/W3034196597","https://openalex.org/W3034301684","https://openalex.org/W3034713808","https://openalex.org/W3035063907","https://openalex.org/W3035263140","https://openalex.org/W3048341421","https://openalex.org/W3094728142","https://openalex.org/W3095986900","https://openalex.org/W3166873596","https://openalex.org/W3174508664","https://openalex.org/W3174656926","https://openalex.org/W3183999072","https://openalex.org/W3207353304"],"related_works":["https://openalex.org/W4386158999","https://openalex.org/W4210246814","https://openalex.org/W4399175798","https://openalex.org/W4200635057","https://openalex.org/W4402980032","https://openalex.org/W4413398882","https://openalex.org/W7163019776","https://openalex.org/W4416999617","https://openalex.org/W4404442209","https://openalex.org/W7163077042"],"abstract_inverted_index":{"Existing":[0],"face":[1,7,110,136],"forgery":[2,8,58,67,94,111],"detection":[3,9,68],"methods":[4,59,95],"usually":[5],"treat":[6],"as":[10,57],"a":[11,80,125],"binary":[12],"classification":[13,49,101],"problem":[14],"and":[15,60,96,151],"adopt":[16],"deep":[17],"convolution":[18],"neural":[19],"networks":[20,50],"to":[21,33,53,87,103],"learn":[22,104],"discriminative":[23,27,107],"features.":[24],"The":[25],"ideal":[26],"features":[28,45,108],"should":[29],"be":[30],"only":[31],"related":[32],"the":[34,44,72,89,142,145],"real/fake":[35],"labels":[36],"of":[37,92,120,144],"facial":[38,61,97,121],"images.":[39],"However,":[40],"we":[41,78,123],"observe":[42],"that":[43],"learned":[46],"by":[47,76],"vanilla":[48],"are":[51],"correlated":[52],"unnecessary":[54],"properties,":[55],"such":[56],"identities.":[62],"Such":[63],"phenomenon":[64],"would":[65],"limit":[66],"performance":[69],"especially":[70],"for":[71,109],"generalization":[73],"ability.":[74],"Motivated":[75],"this,":[77],"propose":[79],"novel":[81],"method":[82,147],"which":[83,99],"utilizes":[84],"adversarial":[85],"learning":[86],"eliminate":[88],"negative":[90],"effect":[91],"different":[93],"identities,":[98,122],"helps":[100],"network":[102],"intrinsic":[105],"common":[106],"detection.":[112],"To":[113],"leverage":[114],"data":[115],"lacking":[116],"ground":[117],"truth":[118],"label":[119],"design":[124],"special":[126],"identity":[127],"discriminator":[128],"based":[129],"on":[130],"similarity":[131],"information":[132],"derived":[133],"from":[134],"off-the-shelf":[135],"recognition":[137],"model.":[138],"Extensive":[139],"experiments":[140],"demonstrate":[141],"effectiveness":[143],"proposed":[146],"under":[148],"both":[149],"intra-dataset":[150],"cross-dataset":[152],"evaluation":[153],"settings.":[154]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2}],"updated_date":"2026-10-22T09:42:04.148104","created_date":"2022-07-13T00:00:00"}