{"id":"https://openalex.org/W4415535672","doi":"https://doi.org/10.1145/3746027.3755027","title":"CopyJudge: Automated Copyright Infringement Identification and Mitigation in Text-to-Image Diffusion Models","display_name":"CopyJudge: Automated Copyright Infringement Identification and Mitigation in Text-to-Image Diffusion Models","publication_year":2025,"publication_date":"2025-10-25","ids":{"openalex":"https://openalex.org/W4415535672","doi":"https://doi.org/10.1145/3746027.3755027"},"language":null,"primary_location":{"id":"doi:10.1145/3746027.3755027","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3746027.3755027","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 33rd ACM International Conference on Multimedia","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://infoscience.epfl.ch/handle/20.500.14299/255264","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5086881096","display_name":"Shunchang Liu","orcid":"https://orcid.org/0000-0003-0373-5478"},"institutions":[{"id":"https://openalex.org/I5124864","display_name":"\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne","ror":"https://ror.org/02s376052","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I5124864"]}],"countries":["CH"],"is_corresponding":true,"raw_author_name":"Shunchang Liu","raw_affiliation_strings":["EPFL, Lausanne, Switzerland"],"affiliations":[{"raw_affiliation_string":"EPFL, Lausanne, Switzerland","institution_ids":["https://openalex.org/I5124864"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078707812","display_name":"Zhuan Shi","orcid":"https://orcid.org/0000-0003-4239-3546"},"institutions":[{"id":"https://openalex.org/I5023651","display_name":"McGill University","ror":"https://ror.org/01pxwe438","country_code":"CA","type":"education","lineage":["https://openalex.org/I5023651"]},{"id":"https://openalex.org/I4210164802","display_name":"Mila - Quebec Artificial Intelligence Institute","ror":"https://ror.org/05c22rx21","country_code":"CA","type":"facility","lineage":["https://openalex.org/I4210164802"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Zhuan Shi","raw_affiliation_strings":["Mila - Quebec AI Institute, Montreal, Canada and McGill University, Montreal, Canada"],"affiliations":[{"raw_affiliation_string":"Mila - Quebec AI Institute, Montreal, Canada and McGill University, Montreal, Canada","institution_ids":["https://openalex.org/I4210164802","https://openalex.org/I5023651"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112842753","display_name":"Lei Lyu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lingjuan Lyu","raw_affiliation_strings":["Sony AI, Zurich, Switzerland"],"affiliations":[{"raw_affiliation_string":"Sony AI, Zurich, Switzerland","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032314861","display_name":"Yaochu Jin","orcid":"https://orcid.org/0000-0003-1100-0631"},"institutions":[{"id":"https://openalex.org/I3133055985","display_name":"Westlake University","ror":"https://ror.org/05hfa4n20","country_code":"CN","type":"education","lineage":["https://openalex.org/I3133055985"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yaochu Jin","raw_affiliation_strings":["Westlake University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Westlake University, Hangzhou, China","institution_ids":["https://openalex.org/I3133055985"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060427576","display_name":"Boi Faltings","orcid":"https://orcid.org/0000-0002-7188-7230"},"institutions":[{"id":"https://openalex.org/I5124864","display_name":"\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne","ror":"https://ror.org/02s376052","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I5124864"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Boi Faltings","raw_affiliation_strings":["EPFL, Lausanne, Switzerland"],"affiliations":[{"raw_affiliation_string":"EPFL, Lausanne, Switzerland","institution_ids":["https://openalex.org/I5124864"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5086881096"],"corresponding_institution_ids":["https://openalex.org/I5124864"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.45926496,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"11347","last_page":"11356"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13999","display_name":"Digital Rights Management and Security","score":0.9768999814987183,"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"}},"topics":[{"id":"https://openalex.org/T13999","display_name":"Digital Rights Management and Security","score":0.9768999814987183,"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":0.9757000207901001,"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/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.9520000219345093,"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/identification","display_name":"Identification (biology)","score":0.7709000110626221},{"id":"https://openalex.org/keywords/interpretability","display_name":"Interpretability","score":0.7135999798774719},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.5458999872207642},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.48669999837875366},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.42149999737739563},{"id":"https://openalex.org/keywords/space","display_name":"Space (punctuation)","score":0.36579999327659607},{"id":"https://openalex.org/keywords/copyright-infringement","display_name":"Copyright infringement","score":0.365200012922287}],"concepts":[{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.7709000110626221},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.739799976348877},{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.7135999798774719},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.5458999872207642},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.48669999837875366},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4700999855995178},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4368000030517578},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.42149999737739563},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.384799987077713},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.36579999327659607},{"id":"https://openalex.org/C2779776346","wikidata":"https://www.wikidata.org/wiki/Q647578","display_name":"Copyright infringement","level":3,"score":0.365200012922287},{"id":"https://openalex.org/C30038468","wikidata":"https://www.wikidata.org/wiki/Q4354775","display_name":"Memorization","level":2,"score":0.34529998898506165},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.3012999892234802},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.29649999737739563},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.287200003862381},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.28630000352859497},{"id":"https://openalex.org/C2777029862","wikidata":"https://www.wikidata.org/wiki/Q7144498","display_name":"Patent infringement","level":3,"score":0.28529998660087585},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.275299996137619},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.25130000710487366}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3746027.3755027","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3746027.3755027","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 33rd ACM International Conference on Multimedia","raw_type":"proceedings-article"},{"id":"pmh:oai:infoscience.epfl.ch:20.500.14299/255264","is_oa":true,"landing_page_url":"https://infoscience.epfl.ch/handle/20.500.14299/255264","pdf_url":null,"source":{"id":"https://openalex.org/S4306400487","display_name":"Infoscience (Ecole Polytechnique F\u00e9d\u00e9rale de Lausanne)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"conference proceedings"}],"best_oa_location":{"id":"pmh:oai:infoscience.epfl.ch:20.500.14299/255264","is_oa":true,"landing_page_url":"https://infoscience.epfl.ch/handle/20.500.14299/255264","pdf_url":null,"source":{"id":"https://openalex.org/S4306400487","display_name":"Infoscience (Ecole Polytechnique F\u00e9d\u00e9rale de Lausanne)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"conference proceedings"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W2962785568","https://openalex.org/W3154155772","https://openalex.org/W4312442470","https://openalex.org/W4312933868","https://openalex.org/W4386076098","https://openalex.org/W4390873054","https://openalex.org/W4390874260","https://openalex.org/W4402916987"],"related_works":[],"abstract_inverted_index":{"Assessing":[0],"whether":[1],"AI-generated":[2],"images":[3,47],"are":[4],"substantially":[5],"similar":[6],"to":[7,36,65],"copyrighted":[8,46],"works":[9],"is":[10],"a":[11,83],"crucial":[12],"step":[13],"in":[14],"resolving":[15],"copyright":[16,26],"disputes.":[17],"In":[18],"this":[19],"paper,":[20],"we":[21,56,80],"propose":[22],"CopyJudge,":[23],"an":[24,58],"automated":[25],"infringement":[27,70,160],"identification":[28,131],"framework":[29,61],"that":[30,88,129,149],"leverages":[31],"large":[32],"vision-language":[33],"models":[34],"(LVLMs)":[35],"simulate":[37],"practical":[38],"court":[39],"processes":[40],"for":[41],"determining":[42],"substantial":[43],"similarity":[44],"between":[45],"and":[48,71,141,148,158],"those":[49],"generated":[50],"by":[51,93,108],"text-to-image":[52],"diffusion":[53,115],"models.":[54],"Specifically,":[55],"employ":[57],"abstraction-filtration-comparison":[59],"test":[60],"with":[62],"multi-LVLM":[63],"debate":[64],"assess":[66],"the":[67,78,99,114,124],"likelihood":[68],"of":[69,146],"provide":[72],"detailed":[73],"judgment":[74],"rationales.":[75],"Based":[76],"on":[77],"judgments,":[79],"further":[81],"introduce":[82],"general":[84],"LVLM-based":[85],"mitigation":[86,151],"strategy":[87],"automatically":[89],"optimizes":[90],"infringing":[91],"prompts":[92],"avoiding":[94],"sensitive":[95],"expressions":[96],"while":[97,137],"preserving":[98],"non-infringing":[100,110,163],"content.":[101],"Besides,":[102],"our":[103,130,150],"approach":[104],"can":[105],"be":[106],"enhanced":[107],"exploring":[109],"noise":[111],"vectors":[112],"within":[113],"latent":[116],"space":[117],"via":[118],"reinforcement":[119],"learning,":[120],"even":[121],"without":[122,161],"modifying":[123],"original":[125],"prompts.Experimental":[126],"results":[127],"show":[128],"method":[132,152],"achieves":[133],"comparable":[134],"state-of-the-art":[135],"performance,":[136],"offering":[138],"superior":[139],"generalization":[140],"interpretability":[142],"across":[143],"various":[144],"forms":[145],"infringement,":[147],"could":[153],"more":[154],"effectively":[155],"mitigate":[156],"memorization":[157],"IP":[159],"losing":[162],"expressions.":[164]},"counts_by_year":[],"updated_date":"2026-03-07T16:01:11.037858","created_date":"2025-10-25T00:00:00"}