{"id":"https://openalex.org/W4408048856","doi":"https://doi.org/10.1109/tifs.2025.3546845","title":"Towards Extensible Detection of AI-Generated Images via Content-Agnostic Adapter-Based Category-Aware Incremental Learning","display_name":"Towards Extensible Detection of AI-Generated Images via Content-Agnostic Adapter-Based Category-Aware Incremental Learning","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4408048856","doi":"https://doi.org/10.1109/tifs.2025.3546845"},"language":"en","primary_location":{"id":"doi:10.1109/tifs.2025.3546845","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tifs.2025.3546845","pdf_url":null,"source":{"id":"https://openalex.org/S61310614","display_name":"IEEE Transactions on Information Forensics and Security","issn_l":"1556-6013","issn":["1556-6013","1556-6021"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Information Forensics and Security","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":null,"display_name":"Shuai Tang","orcid":"https://orcid.org/0009-0006-3255-8713"},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuai Tang","raw_affiliation_strings":["School of Cyber Science and Engineering, Sichuan University, Chengdu, China"],"raw_orcid":"https://orcid.org/0009-0006-3255-8713","affiliations":[{"raw_affiliation_string":"School of Cyber Science and Engineering, Sichuan University, Chengdu, China","institution_ids":["https://openalex.org/I24185976"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032866454","display_name":"Peisong He","orcid":"https://orcid.org/0000-0003-3121-0599"},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peisong He","raw_affiliation_strings":["School of Cyber Science and Engineering, Sichuan University, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0003-3121-0599","affiliations":[{"raw_affiliation_string":"School of Cyber Science and Engineering, Sichuan University, Chengdu, China","institution_ids":["https://openalex.org/I24185976"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040091210","display_name":"Haoliang Li","orcid":"https://orcid.org/0000-0002-8723-8112"},"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, China"],"raw_orcid":"https://orcid.org/0000-0002-8723-8112","affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, City University of Hong Kong, Hong Kong, China","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100391932","display_name":"Wei Wang","orcid":"https://orcid.org/0000-0002-3110-5767"},"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"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Wang","raw_affiliation_strings":["School of Computer and Information Technology, Beijing Jiaotong University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer and Information Technology, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046412453","display_name":"Xinghao Jiang","orcid":"https://orcid.org/0000-0002-9758-0579"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinghao Jiang","raw_affiliation_strings":["School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-9758-0579","affiliations":[{"raw_affiliation_string":"School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100362745","display_name":"Yao Zhao","orcid":"https://orcid.org/0000-0002-8581-9554"},"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"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yao Zhao","raw_affiliation_strings":["School of Computer and Information Technology, Beijing Jiaotong University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-8581-9554","affiliations":[{"raw_affiliation_string":"School of Computer and Information Technology, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":6.0627,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.96319562,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"20","issue":null,"first_page":"2883","last_page":"2898"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9961000084877014,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9961000084877014,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9837999939918518,"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/T10862","display_name":"AI in cancer detection","score":0.9794999957084656,"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":0.8673272132873535},{"id":"https://openalex.org/keywords/adapter","display_name":"Adapter (computing)","score":0.5991278886795044},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5475637912750244},{"id":"https://openalex.org/keywords/extensibility","display_name":"Extensibility","score":0.4278355538845062},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.41962867975234985},{"id":"https://openalex.org/keywords/incremental-learning","display_name":"Incremental learning","score":0.4127127528190613},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.38375338912010193},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.37762540578842163},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.1550581157207489},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.1399555206298828}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8673272132873535},{"id":"https://openalex.org/C177284502","wikidata":"https://www.wikidata.org/wiki/Q1005390","display_name":"Adapter (computing)","level":2,"score":0.5991278886795044},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5475637912750244},{"id":"https://openalex.org/C32833848","wikidata":"https://www.wikidata.org/wiki/Q4115054","display_name":"Extensibility","level":2,"score":0.4278355538845062},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.41962867975234985},{"id":"https://openalex.org/C2780735816","wikidata":"https://www.wikidata.org/wiki/Q28324931","display_name":"Incremental learning","level":2,"score":0.4127127528190613},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.38375338912010193},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.37762540578842163},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.1550581157207489},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.1399555206298828}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tifs.2025.3546845","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tifs.2025.3546845","pdf_url":null,"source":{"id":"https://openalex.org/S61310614","display_name":"IEEE Transactions on Information Forensics and Security","issn_l":"1556-6013","issn":["1556-6013","1556-6021"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Information Forensics and Security","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.46000000834465027}],"awards":[{"id":"https://openalex.org/G847347439","display_name":null,"funder_award_id":"2022YFB4501300","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G8915995589","display_name":null,"funder_award_id":"6142103042309","funder_id":"https://openalex.org/F4320328373","funder_display_name":"National Key Laboratory Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320328373","display_name":"National Key Laboratory Foundation of China","ror":null},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":43,"referenced_works":["https://openalex.org/W1821462560","https://openalex.org/W2473930607","https://openalex.org/W2520774990","https://openalex.org/W2537160348","https://openalex.org/W2560647685","https://openalex.org/W2790392345","https://openalex.org/W2808763756","https://openalex.org/W2888519208","https://openalex.org/W2907295878","https://openalex.org/W2962858109","https://openalex.org/W2963140444","https://openalex.org/W2963240485","https://openalex.org/W2964189064","https://openalex.org/W2975558816","https://openalex.org/W2984862483","https://openalex.org/W3010699567","https://openalex.org/W3034577585","https://openalex.org/W3094502228","https://openalex.org/W3096831136","https://openalex.org/W3174807077","https://openalex.org/W3177151075","https://openalex.org/W3199345990","https://openalex.org/W4221053795","https://openalex.org/W4312358791","https://openalex.org/W4312388283","https://openalex.org/W4312810855","https://openalex.org/W4312933868","https://openalex.org/W4319300674","https://openalex.org/W4385815563","https://openalex.org/W4386071953","https://openalex.org/W4386075764","https://openalex.org/W4387350460","https://openalex.org/W4388189737","https://openalex.org/W4390871965","https://openalex.org/W4390873235","https://openalex.org/W4391468387","https://openalex.org/W4392904083","https://openalex.org/W4393154086","https://openalex.org/W4396240247","https://openalex.org/W4402582789","https://openalex.org/W4402623742","https://openalex.org/W4402716164","https://openalex.org/W4403759655"],"related_works":["https://openalex.org/W2133028525","https://openalex.org/W4229060448","https://openalex.org/W4306381730","https://openalex.org/W1948607442","https://openalex.org/W2981692913","https://openalex.org/W3044188621","https://openalex.org/W3184035966","https://openalex.org/W3004004161","https://openalex.org/W2485605994","https://openalex.org/W2044615423"],"abstract_inverted_index":{"The":[0],"rapid":[1],"evolution":[2],"of":[3,24,44,56,78,120,126,187],"image":[4,26,113,179],"generation":[5,79,133],"techniques":[6],"has":[7,13],"benefited":[8],"several":[9,175],"fields,":[10],"but":[11],"it":[12],"also":[14],"given":[15],"rise":[16],"to":[17,91,107,111,130,143,167,191],"security":[18],"concerns.":[19],"As":[20],"countermeasures,":[21],"a":[22,83,88,97,153],"series":[23],"AI-generated":[25,57],"detection":[27,55],"methods":[28,35,193],"have":[29],"been":[30],"developed":[31],"successfully.":[32],"However,":[33],"existing":[34],"exhibit":[36],"an":[37,60,64,135],"inefficiency":[38],"in":[39,59],"handling":[40],"the":[41,54,74,104,109,118,124,145,185],"continual":[42],"emergence":[43],"new":[45],"generative":[46],"models.":[47],"To":[48],"address":[49],"this":[50],"issue,":[51],"we":[52,71],"formulate":[53],"images":[58,122,128],"extensible":[61,195],"manner":[62],"using":[63,177],"adapter-based":[65],"domain":[66,138,146],"incremental":[67],"learning":[68],"framework.":[69],"Specifically,":[70],"first":[72],"investigate":[73],"global":[75],"consistency":[76],"property":[77],"artifacts":[80],"and":[81,123,161,181],"design":[82],"content-agnostic":[84],"adapter":[85],"equipped":[86],"on":[87,174],"vision":[89],"transformer":[90],"extract":[92],"common":[93],"forensic":[94,163],"features,":[95],"where":[96],"token-level":[98],"shuffling":[99],"strategy":[100],"is":[101,141,165],"constructed":[102],"for":[103,194],"dual-stream":[105],"comparison":[106],"mitigate":[108],"fitting":[110],"specific":[112],"content.":[114],"Then,":[115],"motivated":[116],"by":[117],"compactness":[119],"real":[121],"diversity":[125],"fake":[127],"due":[129],"their":[131],"inherent":[132],"processes,":[134],"asymmetric":[136],"category-aware":[137],"alignment":[139],"method":[140,189],"designed":[142],"reduce":[144],"shift":[147],"arisen":[148],"from":[149],"different":[150],"generators.":[151],"Finally,":[152],"multi-view":[154],"knowledge":[155],"distillation":[156],"module,":[157],"considering":[158],"both":[159],"point-to-point":[160],"structure-to-structure":[162],"knowledge,":[164],"devised":[166],"alleviate":[168],"catastrophic":[169],"forgetting.":[170],"Experiments":[171],"are":[172],"conducted":[173],"protocols":[176],"various":[178],"generators,":[180],"experimental":[182],"results":[183],"verify":[184],"superiority":[186],"our":[188],"compared":[190],"state-of-the-art":[192],"detection.":[196]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":4}],"updated_date":"2025-12-28T23:10:05.387466","created_date":"2025-10-10T00:00:00"}
