{"id":"https://openalex.org/W4415428673","doi":"https://doi.org/10.3233/faia250906","title":"AMCR: A Framework for Assessing and Mitigating Copyright Risks in Generative Models","display_name":"AMCR: A Framework for Assessing and Mitigating Copyright Risks in Generative Models","publication_year":2025,"publication_date":"2025-10-21","ids":{"openalex":"https://openalex.org/W4415428673","doi":"https://doi.org/10.3233/faia250906"},"language":null,"primary_location":{"id":"doi:10.3233/faia250906","is_oa":true,"landing_page_url":"https://doi.org/10.3233/faia250906","pdf_url":null,"source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"},"type":"book-chapter","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.3233/faia250906","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5076425497","display_name":"Zhipeng Yin","orcid":"https://orcid.org/0009-0001-0816-5630"},"institutions":[{"id":"https://openalex.org/I19700959","display_name":"Florida International University","ror":"https://ror.org/02gz6gg07","country_code":"US","type":"education","lineage":["https://openalex.org/I19700959"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Zhipeng Yin","raw_affiliation_strings":["Florida International University, Miami, Florida, United States"],"affiliations":[{"raw_affiliation_string":"Florida International University, Miami, Florida, United States","institution_ids":["https://openalex.org/I19700959"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011724269","display_name":"Zichong Wang","orcid":"https://orcid.org/0000-0001-6091-6609"},"institutions":[{"id":"https://openalex.org/I19700959","display_name":"Florida International University","ror":"https://ror.org/02gz6gg07","country_code":"US","type":"education","lineage":["https://openalex.org/I19700959"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zichong Wang","raw_affiliation_strings":["Florida International University, Miami, Florida, United States"],"affiliations":[{"raw_affiliation_string":"Florida International University, Miami, Florida, United States","institution_ids":["https://openalex.org/I19700959"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5117614377","display_name":"Avash Palikhe","orcid":"https://orcid.org/0009-0008-2676-3731"},"institutions":[{"id":"https://openalex.org/I19700959","display_name":"Florida International University","ror":"https://ror.org/02gz6gg07","country_code":"US","type":"education","lineage":["https://openalex.org/I19700959"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Avash Palikhe","raw_affiliation_strings":["Florida International University, Miami, Florida, United States"],"affiliations":[{"raw_affiliation_string":"Florida International University, Miami, Florida, United States","institution_ids":["https://openalex.org/I19700959"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100412044","display_name":"Zhen Liu","orcid":"https://orcid.org/0000-0002-3143-1976"},"institutions":[{"id":"https://openalex.org/I186272606","display_name":"Guangdong University of Foreign Studies","ror":"https://ror.org/00fhc9y79","country_code":"CN","type":"education","lineage":["https://openalex.org/I186272606"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhen Liu","raw_affiliation_strings":["Guangdong University of Foreign Studies, Guangzhou, Guangdong, China"],"affiliations":[{"raw_affiliation_string":"Guangdong University of Foreign Studies, Guangzhou, Guangdong, China","institution_ids":["https://openalex.org/I186272606"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100362043","display_name":"Jun Liu","orcid":"https://orcid.org/0009-0004-8026-3704"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jun Liu","raw_affiliation_strings":["Carnegie Mellon University, Pittsburgh, Pennsylvania, United States"],"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University, Pittsburgh, Pennsylvania, United States","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100710816","display_name":"Wenbin Zhang","orcid":"https://orcid.org/0000-0003-4746-9570"},"institutions":[{"id":"https://openalex.org/I19700959","display_name":"Florida International University","ror":"https://ror.org/02gz6gg07","country_code":"US","type":"education","lineage":["https://openalex.org/I19700959"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wenbin Zhang","raw_affiliation_strings":["Florida International University, Miami, Florida, United States"],"affiliations":[{"raw_affiliation_string":"Florida International University, Miami, Florida, United States","institution_ids":["https://openalex.org/I19700959"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5076425497"],"corresponding_institution_ids":["https://openalex.org/I19700959"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.50782971,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13851","display_name":"Law, AI, and Intellectual Property","score":0.8331999778747559,"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/T13851","display_name":"Law, AI, and Intellectual Property","score":0.8331999778747559,"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/T13999","display_name":"Digital Rights Management and Security","score":0.8235999941825867,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/safer","display_name":"SAFER","score":0.652899980545044},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.5410000085830688},{"id":"https://openalex.org/keywords/software-deployment","display_name":"Software deployment","score":0.5041000247001648},{"id":"https://openalex.org/keywords/replicate","display_name":"Replicate","score":0.43059998750686646},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.3878999948501587},{"id":"https://openalex.org/keywords/restructuring","display_name":"Restructuring","score":0.3666999936103821}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6735000014305115},{"id":"https://openalex.org/C2776654903","wikidata":"https://www.wikidata.org/wiki/Q2601463","display_name":"SAFER","level":2,"score":0.652899980545044},{"id":"https://openalex.org/C112930515","wikidata":"https://www.wikidata.org/wiki/Q4389547","display_name":"Risk analysis (engineering)","level":1,"score":0.6043999791145325},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.5410000085830688},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.5041000247001648},{"id":"https://openalex.org/C2781162219","wikidata":"https://www.wikidata.org/wiki/Q26250693","display_name":"Replicate","level":2,"score":0.43059998750686646},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.3878999948501587},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3813999891281128},{"id":"https://openalex.org/C45237549","wikidata":"https://www.wikidata.org/wiki/Q1376796","display_name":"Restructuring","level":2,"score":0.3666999936103821},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.3582000136375427},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.32850000262260437},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.32420000433921814},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3098999857902527},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.29170000553131104},{"id":"https://openalex.org/C39389867","wikidata":"https://www.wikidata.org/wiki/Q380767","display_name":"Corporate governance","level":2,"score":0.2581000030040741},{"id":"https://openalex.org/C108827166","wikidata":"https://www.wikidata.org/wiki/Q175975","display_name":"Internet privacy","level":1,"score":0.2531999945640564}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/faia250906","is_oa":true,"landing_page_url":"https://doi.org/10.3233/faia250906","pdf_url":null,"source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"}],"best_oa_location":{"id":"doi:10.3233/faia250906","is_oa":true,"landing_page_url":"https://doi.org/10.3233/faia250906","pdf_url":null,"source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Generative":[0],"models":[1,25],"have":[2,52],"achieved":[3],"impressive":[4],"results":[5],"in":[6,79,88,164],"text":[7],"to":[8,56,73,99,149],"image":[9,155],"tasks,":[10],"significantly":[11],"advancing":[12],"visual":[13],"content":[14],"creation.":[15],"However,":[16],"this":[17,106],"progress":[18],"comes":[19],"at":[20],"a":[21,115],"cost,":[22],"as":[23],"such":[24],"rely":[26],"heavily":[27],"on":[28],"large-scale":[29],"training":[30],"data":[31],"and":[32,41,110,131,142,166,174],"may":[33],"unintentionally":[34],"replicate":[35],"copyrighted":[36],"elements,":[37],"creating":[38],"serious":[39],"legal":[40],"ethical":[42],"challenges":[43],"for":[44,176],"real-world":[45],"deployment.":[46],"To":[47,102],"address":[48,103],"these":[49,83,104],"concerns,":[50],"researchers":[51],"proposed":[53],"various":[54],"strategies":[55,123],"mitigate":[57],"copyright":[58,151,169],"risks,":[59,170],"most":[60],"of":[61,162,180],"which":[62,118],"are":[63],"prompt":[64],"based":[65],"methods":[66],"that":[67],"filter":[68],"or":[69],"rewrite":[70],"user":[71],"inputs":[72],"prevent":[74],"explicit":[75],"infringement.":[76],"While":[77],"effective":[78],"handling":[80],"obvious":[81],"cases,":[82],"approaches":[84],"often":[85],"fall":[86],"short":[87],"more":[89],"subtle":[90],"situations,":[91],"where":[92],"seemingly":[93],"benign":[94],"prompts":[95,128],"can":[96],"still":[97],"lead":[98],"infringing":[100],"outputs.":[101],"limitations,":[105],"paper":[107],"introduces":[108],"Assessing":[109],"Mitigating":[111],"Copyright":[112],"Risks":[113],"(AMCR),":[114],"comprehensive":[116],"framework":[117],"i)":[119],"builds":[120],"upon":[121],"prompt-based":[122],"by":[124],"systematically":[125],"restructuring":[126],"risky":[127],"into":[129],"safe":[130],"non-sensitive":[132],"forms,":[133],"ii)":[134],"detects":[135],"partial":[136],"infringements":[137],"through":[138],"attention-based":[139],"similarity":[140],"analysis,":[141],"iii)":[143],"adaptively":[144],"mitigates":[145],"risks":[146],"during":[147],"generation":[148],"reduce":[150],"violations":[152],"without":[153],"compromising":[154],"quality.":[156],"Extensive":[157],"experiments":[158],"validate":[159],"the":[160,177],"effectiveness":[161],"AMCR":[163],"revealing":[165],"mitigating":[167],"latent":[168],"offering":[171],"practical":[172],"insights":[173],"benchmarks":[175],"safer":[178],"deployment":[179],"generative":[181],"models.":[182]},"counts_by_year":[],"updated_date":"2026-03-07T16:01:11.037858","created_date":"2025-10-24T00:00:00"}
