{"id":"https://openalex.org/W4413156425","doi":"https://doi.org/10.1109/cvpr52734.2025.00400","title":"Forensics-Bench: A Comprehensive Forgery Detection Benchmark Suite for Large Vision Language Models","display_name":"Forensics-Bench: A Comprehensive Forgery Detection Benchmark Suite for Large Vision Language Models","publication_year":2025,"publication_date":"2025-06-10","ids":{"openalex":"https://openalex.org/W4413156425","doi":"https://doi.org/10.1109/cvpr52734.2025.00400"},"language":"en","primary_location":{"id":"doi:10.1109/cvpr52734.2025.00400","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr52734.2025.00400","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)","raw_type":"proceedings-article"},"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/A5113414416","display_name":"Jin Wang","orcid":"https://orcid.org/0000-0002-8298-4378"},"institutions":[{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Jin Wang","raw_affiliation_strings":["The University of Hong Kong"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The University of Hong Kong","institution_ids":["https://openalex.org/I889458895"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076625548","display_name":"Chenghui Lv","orcid":null},"institutions":[{"id":"https://openalex.org/I4210137766","display_name":"Institute for Advanced Study","ror":"https://ror.org/03xg85719","country_code":"DE","type":"facility","lineage":["https://openalex.org/I4210137766"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Chenghui Lv","raw_affiliation_strings":["Hangzhou Institute for Advanced Study"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hangzhou Institute for Advanced Study","institution_ids":["https://openalex.org/I4210137766"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100767220","display_name":"Xian Li","orcid":"https://orcid.org/0000-0002-1225-3238"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xian Li","raw_affiliation_strings":["Zhejiang University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zhejiang University","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017665185","display_name":"Shichao Dong","orcid":null},"institutions":[{"id":"https://openalex.org/I45928872","display_name":"Alibaba Group (China)","ror":"https://ror.org/00k642b80","country_code":"CN","type":"company","lineage":["https://openalex.org/I45928872"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shichao Dong","raw_affiliation_strings":["Alibaba,Beijing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Alibaba,Beijing,China","institution_ids":["https://openalex.org/I45928872"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103166454","display_name":"H. Li","orcid":"https://orcid.org/0009-0004-4865-6540"},"institutions":[{"id":"https://openalex.org/I4210109870","display_name":"Vi Technology (United States)","ror":"https://ror.org/016mnbp44","country_code":"US","type":"company","lineage":["https://openalex.org/I4210109870"]},{"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":["US"],"is_corresponding":false,"raw_author_name":"Huadong Li","raw_affiliation_strings":["MEGVII Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"MEGVII Technology","institution_ids":["https://openalex.org/I4210109870","https://openalex.org/I4401726805"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043579482","display_name":"Kelu Yao","orcid":"https://orcid.org/0000-0002-4891-3197"},"institutions":[{"id":"https://openalex.org/I4210123185","display_name":"Zhejiang Lab","ror":"https://ror.org/02m2h7991","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210123185"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kelu Yao","raw_affiliation_strings":["Zhejiang Laboratory"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zhejiang Laboratory","institution_ids":["https://openalex.org/I4210123185"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100323157","display_name":"Chao Li","orcid":"https://orcid.org/0000-0002-0734-0011"},"institutions":[{"id":"https://openalex.org/I4210123185","display_name":"Zhejiang Lab","ror":"https://ror.org/02m2h7991","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210123185"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chao Li","raw_affiliation_strings":["Zhejiang Laboratory"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zhejiang Laboratory","institution_ids":["https://openalex.org/I4210123185"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101827257","display_name":"Wenqi Shao","orcid":"https://orcid.org/0000-0003-3781-4086"},"institutions":[{"id":"https://openalex.org/I4210122302","display_name":"ShangHai JiAi Genetics & IVF Institute","ror":"https://ror.org/02rgbry52","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210122302"]},{"id":"https://openalex.org/I4391012619","display_name":"Shanghai Artificial Intelligence Laboratory","ror":"https://ror.org/03wkvpx79","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4391012619"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenqi Shao","raw_affiliation_strings":["Shanghai AI Laboratory"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai AI Laboratory","institution_ids":["https://openalex.org/I4210122302","https://openalex.org/I4391012619"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074680606","display_name":"Ping Luo","orcid":null},"institutions":[{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Ping Luo","raw_affiliation_strings":["The University of Hong Kong"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The University of Hong Kong","institution_ids":["https://openalex.org/I889458895"]}]}],"institutions":[],"countries_distinct_count":4,"institutions_distinct_count":9,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"4233","last_page":"4245"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9591000080108643,"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"}},"topics":[{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9591000080108643,"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/T12034","display_name":"Digital and Cyber Forensics","score":0.9524999856948853,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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":0.9483000040054321,"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/suite","display_name":"Suite","score":0.8596704602241516},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7524331212043762},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.7390440702438354},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.45073097944259644},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.413247287273407}],"concepts":[{"id":"https://openalex.org/C79581498","wikidata":"https://www.wikidata.org/wiki/Q1367530","display_name":"Suite","level":2,"score":0.8596704602241516},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7524331212043762},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.7390440702438354},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45073097944259644},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.413247287273407},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C95457728","wikidata":"https://www.wikidata.org/wiki/Q309","display_name":"History","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cvpr52734.2025.00400","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr52734.2025.00400","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5600000023841858,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":58,"referenced_works":["https://openalex.org/W1482998036","https://openalex.org/W1861492603","https://openalex.org/W2560730294","https://openalex.org/W2811414481","https://openalex.org/W2886641317","https://openalex.org/W2896689692","https://openalex.org/W2947312908","https://openalex.org/W2982058372","https://openalex.org/W3031973383","https://openalex.org/W3034196597","https://openalex.org/W3034577585","https://openalex.org/W3034713808","https://openalex.org/W3034900344","https://openalex.org/W3035063907","https://openalex.org/W3092879151","https://openalex.org/W3096672325","https://openalex.org/W3156355701","https://openalex.org/W3161417217","https://openalex.org/W3174508664","https://openalex.org/W3175342695","https://openalex.org/W3178572954","https://openalex.org/W3178708968","https://openalex.org/W3180355996","https://openalex.org/W3183999072","https://openalex.org/W3188897163","https://openalex.org/W3189718486","https://openalex.org/W4210241935","https://openalex.org/W4283811667","https://openalex.org/W4312388562","https://openalex.org/W4312516166","https://openalex.org/W4312846625","https://openalex.org/W4312865419","https://openalex.org/W4312933868","https://openalex.org/W4386071472","https://openalex.org/W4386071484","https://openalex.org/W4386071953","https://openalex.org/W4386075856","https://openalex.org/W4386076380","https://openalex.org/W4386076652","https://openalex.org/W4386215278","https://openalex.org/W4390872011","https://openalex.org/W4390873235","https://openalex.org/W4402716253","https://openalex.org/W4402716330","https://openalex.org/W4402716477","https://openalex.org/W4402727075","https://openalex.org/W4402727669","https://openalex.org/W4402727764","https://openalex.org/W4402917263","https://openalex.org/W4403081466","https://openalex.org/W4403791323","https://openalex.org/W4403791383","https://openalex.org/W4403791888","https://openalex.org/W4403792403","https://openalex.org/W4404124961","https://openalex.org/W4404575065","https://openalex.org/W4405595839","https://openalex.org/W4410974031"],"related_works":["https://openalex.org/W4379115841","https://openalex.org/W2083794993","https://openalex.org/W1511772879","https://openalex.org/W4394660363","https://openalex.org/W2186315912","https://openalex.org/W2588591308","https://openalex.org/W2248125223","https://openalex.org/W2910542634","https://openalex.org/W2127898439","https://openalex.org/W3082894236"],"abstract_inverted_index":{"Recently,":[0],"the":[1,9,16,30,37,169,185,189,199],"rapid":[2],"development":[3],"of":[4,11,40,67,172,191,201],"AIGC":[5],"has":[6],"significantly":[7],"boosted":[8],"diversities":[10],"fake":[12,34],"media":[13,35],"spread":[14],"in":[15,36,198],"Internet,":[17],"posing":[18],"unprecedented":[19],"threats":[20],"to":[21,46,53,59,78,101,187],"social":[22],"security,":[23],"politics,":[24],"law,":[25],"and":[26,113,145,156,164],"etc.":[27],"To":[28,87],"detect":[29],"ever-increasingly":[31],"diverse":[32,117],"malicious":[33],"new":[38,95],"era":[39,200],"AIGC,":[41],"recent":[42],"studies":[43],"have":[44],"proposed":[45],"exploit":[47],"Large":[48],"Vision":[49],"Language":[50],"Models":[51],"(LVLMs)":[52],"design":[54],"robust":[55],"forgery":[56,85,96,106,131,137,139,141,143,146,174,196],"detectors":[57,197],"due":[58],"their":[60],"impressive":[61],"performance":[62],"on":[63,84,116,152],"a":[64,74,94],"wide":[65],"range":[66],"multimodal":[68],"tasks.":[69],"However,":[70],"it":[71],"still":[72],"lacks":[73],"comprehensive":[75,110,173],"benchmark":[76,99],"designed":[77],"comprehensively":[79],"assess":[80,102],"LVLMs'":[81],"discerning":[82],"capabilities":[83,115],"media.":[86],"fill":[88],"this":[89],"gap,":[90],"we":[91],"present":[92],"Forensics-Bench,":[93],"detection":[97,107,132,175],"evaluation":[98],"suite":[100],"LVLMs":[103,155],"across":[104],"massive":[105],"tasks,":[108,142],"requiring":[109],"recognition,":[111],"location":[112],"reasoning":[114],"forgeries.":[118],"Forensics-Bench":[119,182],"comprises":[120],"63,":[121],"292":[122],"meticulously":[123],"curated":[124],"multi-choice":[125],"visual":[126],"questions,":[127],"covering":[128],"112":[129],"unique":[130],"types":[133,144],"from":[134],"5":[135],"perspectives:":[136],"semantics,":[138],"modalities,":[140],"models.":[147],"We":[148,179],"conduct":[149],"thorough":[150],"evaluations":[151],"22":[153],"open-sourced":[154],"3":[157],"proprietary":[158],"models":[159],"GPT-4o,":[160],"Gemini":[161],"1.5":[162],"Pro,":[163],"Claude":[165],"3.5":[166],"Sonnet,":[167],"highlighting":[168],"significant":[170],"challenges":[171],"posed":[176],"by":[177],"Forensics-Bench.":[178],"anticipate":[180],"that":[181],"will":[183,205],"motivate":[184],"community":[186],"advance":[188],"frontier":[190],"LVLMs,":[192],"striving":[193],"for":[194],"all-around":[195],"AIGC.":[202],"The":[203],"deliverables":[204],"be":[206],"updated":[207],"here.":[208]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}
