{"id":"https://openalex.org/W7160624873","doi":"https://doi.org/10.1007/s11633-025-1616-7","title":"GTCP: A General Traces Compensation Purifier for Enhancing the Adversarial Robustness of Deepfake Detection","display_name":"GTCP: A General Traces Compensation Purifier for Enhancing the Adversarial Robustness of Deepfake Detection","publication_year":2026,"publication_date":"2026-05-08","ids":{"openalex":"https://openalex.org/W7160624873","doi":"https://doi.org/10.1007/s11633-025-1616-7"},"language":"en","primary_location":{"id":"doi:10.1007/s11633-025-1616-7","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s11633-025-1616-7","pdf_url":null,"source":{"id":"https://openalex.org/S28082686","display_name":"Machine Intelligence Research","issn_l":"1476-8186","issn":["1476-8186","1751-8520","2731-538X","2731-5398"],"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":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Machine Intelligence Research","raw_type":"journal-article"},"type":"article","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/A5135717483","display_name":"Yu Chen","orcid":"https://orcid.org/0000-0003-4546-1700"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]},{"id":"https://openalex.org/I4210160776","display_name":"Chinese Academy of International Trade and Economic Cooperation","ror":"https://ror.org/058dmkn21","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210160776"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu Chen","raw_affiliation_strings":["Institute of Information Science, Beijing Jiaotong University, Beijing, 100044, China","Visual Intelligence +X International Cooperation Joint Laboratory of MOE, Beijing, 100044, China"],"raw_orcid":"https://orcid.org/0000-0003-4546-1700","affiliations":[{"raw_affiliation_string":"Institute of Information Science, Beijing Jiaotong University, Beijing, 100044, China","institution_ids":["https://openalex.org/I21193070"]},{"raw_affiliation_string":"Visual Intelligence +X International Cooperation Joint Laboratory of MOE, Beijing, 100044, China","institution_ids":["https://openalex.org/I4210160776"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5127800565","display_name":"Y Y Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I204553293","display_name":"China University of Petroleum, Beijing","ror":"https://ror.org/041qf4r12","country_code":"CN","type":"education","lineage":["https://openalex.org/I204553293"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Yu","raw_affiliation_strings":["Department of Electronic Information Engineering, School of Information Science and Engineering, China University of Petroleum, Beijing, 102200, China"],"raw_orcid":"https://orcid.org/0000-0002-5204-2929","affiliations":[{"raw_affiliation_string":"Department of Electronic Information Engineering, School of Information Science and Engineering, China University of Petroleum, Beijing, 102200, China","institution_ids":["https://openalex.org/I204553293"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101587013","display_name":"Rui Zhai","orcid":"https://orcid.org/0009-0002-1797-8139"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]},{"id":"https://openalex.org/I4210160776","display_name":"Chinese Academy of International Trade and Economic Cooperation","ror":"https://ror.org/058dmkn21","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210160776"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rui Zhai","raw_affiliation_strings":["Institute of Information Science, Beijing Jiaotong University, Beijing, 100044, China","Visual Intelligence +X International Cooperation Joint Laboratory of MOE, Beijing, 100044, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Information Science, Beijing Jiaotong University, Beijing, 100044, China","institution_ids":["https://openalex.org/I21193070"]},{"raw_affiliation_string":"Visual Intelligence +X International Cooperation Joint Laboratory of MOE, Beijing, 100044, China","institution_ids":["https://openalex.org/I4210160776"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135714590","display_name":"Rongrong Ni","orcid":"https://orcid.org/0000-0002-5096-8752"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]},{"id":"https://openalex.org/I4210160776","display_name":"Chinese Academy of International Trade and Economic Cooperation","ror":"https://ror.org/058dmkn21","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210160776"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Rongrong Ni","raw_affiliation_strings":["Institute of Information Science, Beijing Jiaotong University, Beijing, 100044, China","Visual Intelligence +X International Cooperation Joint Laboratory of MOE, Beijing, 100044, China"],"raw_orcid":"https://orcid.org/0000-0002-5096-8752","affiliations":[{"raw_affiliation_string":"Institute of Information Science, Beijing Jiaotong University, Beijing, 100044, China","institution_ids":["https://openalex.org/I21193070"]},{"raw_affiliation_string":"Visual Intelligence +X International Cooperation Joint Laboratory of MOE, Beijing, 100044, China","institution_ids":["https://openalex.org/I4210160776"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065859286","display_name":"Hui Li","orcid":"https://orcid.org/0000-0001-9198-3951"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Haoliang Li","raw_affiliation_strings":["Department of Electrical Engineering, City University of Hong Kong, Hong Kong, 999077, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, City University of Hong Kong, Hong Kong, 999077, China","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028288607","display_name":"W Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]},{"id":"https://openalex.org/I4210160776","display_name":"Chinese Academy of International Trade and Economic Cooperation","ror":"https://ror.org/058dmkn21","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210160776"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Wang","raw_affiliation_strings":["Institute of Information Science, Beijing Jiaotong University, Beijing, 100044, China","Visual Intelligence +X International Cooperation Joint Laboratory of MOE, Beijing, 100044, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Information Science, Beijing Jiaotong University, Beijing, 100044, China","institution_ids":["https://openalex.org/I21193070"]},{"raw_affiliation_string":"Visual Intelligence +X International Cooperation Joint Laboratory of MOE, Beijing, 100044, China","institution_ids":["https://openalex.org/I4210160776"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5135679991","display_name":"Yao Zhao","orcid":null},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]},{"id":"https://openalex.org/I4210160776","display_name":"Chinese Academy of International Trade and Economic Cooperation","ror":"https://ror.org/058dmkn21","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210160776"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yao Zhao","raw_affiliation_strings":["Institute of Information Science, Beijing Jiaotong University, Beijing, 100044, China","Visual Intelligence +X International Cooperation Joint Laboratory of MOE, Beijing, 100044, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Information Science, Beijing Jiaotong University, Beijing, 100044, China","institution_ids":["https://openalex.org/I21193070"]},{"raw_affiliation_string":"Visual Intelligence +X International Cooperation Joint Laboratory of MOE, Beijing, 100044, China","institution_ids":["https://openalex.org/I4210160776"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5135714590"],"corresponding_institution_ids":["https://openalex.org/I21193070","https://openalex.org/I4210160776"],"apc_list":{"value":2890,"currency":"USD","value_usd":2890},"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.54489832,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"23","issue":"4","first_page":"855","last_page":"872"},"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":0.3601999878883362,"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":0.3601999878883362,"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":0.3334999978542328,"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"}},{"id":"https://openalex.org/T12357","display_name":"Digital Media Forensic Detection","score":0.12540000677108765,"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/adversarial-system","display_name":"Adversarial system","score":0.7836999893188477},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.7149999737739563},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.4722000062465668},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.44130000472068787},{"id":"https://openalex.org/keywords/trace","display_name":"TRACE (psycholinguistics)","score":0.4341999888420105},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.40849998593330383},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.3628999888896942},{"id":"https://openalex.org/keywords/labeled-data","display_name":"Labeled data","score":0.36079999804496765},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.34850001335144043}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7878000140190125},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.7836999893188477},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7149999737739563},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6101999878883362},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.483599990606308},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.4722000062465668},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.44130000472068787},{"id":"https://openalex.org/C75291252","wikidata":"https://www.wikidata.org/wiki/Q1315756","display_name":"TRACE (psycholinguistics)","level":2,"score":0.4341999888420105},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4212000072002411},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.40849998593330383},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.3628999888896942},{"id":"https://openalex.org/C2776145971","wikidata":"https://www.wikidata.org/wiki/Q30673951","display_name":"Labeled data","level":2,"score":0.36079999804496765},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.34850001335144043},{"id":"https://openalex.org/C190470478","wikidata":"https://www.wikidata.org/wiki/Q2370229","display_name":"Invariant (physics)","level":2,"score":0.3450999855995178},{"id":"https://openalex.org/C147764199","wikidata":"https://www.wikidata.org/wiki/Q6865248","display_name":"Minification","level":2,"score":0.34369999170303345},{"id":"https://openalex.org/C63584917","wikidata":"https://www.wikidata.org/wiki/Q333286","display_name":"Bounding overwatch","level":2,"score":0.32330000400543213},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.3125999867916107},{"id":"https://openalex.org/C66746571","wikidata":"https://www.wikidata.org/wiki/Q1134833","display_name":"ENCODE","level":3,"score":0.31150001287460327},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.3082999885082245},{"id":"https://openalex.org/C2780023022","wikidata":"https://www.wikidata.org/wiki/Q1338171","display_name":"Compensation (psychology)","level":2,"score":0.29440000653266907},{"id":"https://openalex.org/C136886441","wikidata":"https://www.wikidata.org/wiki/Q926129","display_name":"Normalization (sociology)","level":2,"score":0.2818000018596649},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.2734000086784363},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.2551000118255615},{"id":"https://openalex.org/C29265498","wikidata":"https://www.wikidata.org/wiki/Q7047719","display_name":"Noise measurement","level":3,"score":0.2531999945640564},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.2531999945640564},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.25270000100135803},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.250900000333786}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s11633-025-1616-7","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s11633-025-1616-7","pdf_url":null,"source":{"id":"https://openalex.org/S28082686","display_name":"Machine Intelligence Research","issn_l":"1476-8186","issn":["1476-8186","1751-8520","2731-538X","2731-5398"],"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":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Machine Intelligence Research","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.44636115431785583,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":55,"referenced_works":["https://openalex.org/W2027913322","https://openalex.org/W2194775991","https://openalex.org/W2531409750","https://openalex.org/W2732096896","https://openalex.org/W2795727551","https://openalex.org/W2963857521","https://openalex.org/W2982058372","https://openalex.org/W2998082509","https://openalex.org/W3034196597","https://openalex.org/W3034713808","https://openalex.org/W3036426855","https://openalex.org/W3091254548","https://openalex.org/W3094728142","https://openalex.org/W3118479706","https://openalex.org/W3154326567","https://openalex.org/W3173775919","https://openalex.org/W3174656926","https://openalex.org/W3176241004","https://openalex.org/W3185067909","https://openalex.org/W3196551054","https://openalex.org/W3200547907","https://openalex.org/W4214809420","https://openalex.org/W4221041116","https://openalex.org/W4281693914","https://openalex.org/W4281861252","https://openalex.org/W4287080402","https://openalex.org/W4292596009","https://openalex.org/W4293057337","https://openalex.org/W4313042644","https://openalex.org/W4313177092","https://openalex.org/W4316661146","https://openalex.org/W4322576470","https://openalex.org/W4361003656","https://openalex.org/W4382318331","https://openalex.org/W4385750077","https://openalex.org/W4386074714","https://openalex.org/W4386076635","https://openalex.org/W4386272941","https://openalex.org/W4386275888","https://openalex.org/W4387730149","https://openalex.org/W4387968020","https://openalex.org/W4387968109","https://openalex.org/W4387968251","https://openalex.org/W4387969599","https://openalex.org/W4388189737","https://openalex.org/W4390796821","https://openalex.org/W4390813334","https://openalex.org/W4391020241","https://openalex.org/W4391274667","https://openalex.org/W4392623241","https://openalex.org/W4394595619","https://openalex.org/W4394842464","https://openalex.org/W4399177554","https://openalex.org/W4409607517","https://openalex.org/W4410854201"],"related_works":[],"abstract_inverted_index":null,"counts_by_year":[],"updated_date":"2026-07-30T17:31:21.811387","created_date":"2026-05-09T00:00:00"}