{"id":"https:\/\/openalex.org\/W4403723852","doi":"https:\/\/doi.org\/10.1109\/dsaa61799.2024.10722818","title":"Model Attribution in LLM-Generated Disinformation: A Domain Generalization Approach with Supervised Contrastive Learning","display_name":"Model Attribution in LLM-Generated Disinformation: A Domain Generalization Approach with Supervised Contrastive Learning","publication_year":2024,"publication_date":"2024-10-06","ids":{"openalex":"https:\/\/openalex.org\/W4403723852","doi":"https:\/\/doi.org\/10.1109\/dsaa61799.2024.10722818"},"language":"en","primary_location":{"id":"doi:10.1109\/dsaa61799.2024.10722818","is_oa":false,"landing_page_url":"https:\/\/doi.org\/10.1109\/dsaa61799.2024.10722818","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 11th International Conference on Data Science and Advanced Analytics (DSAA)","raw_type":"proceedings-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\/A5114129610","display_name":"Alimohammad Beigi","orcid":"https:\/\/orcid.org\/0009-0009-6637-0761"},"institutions":[{"id":"https:\/\/openalex.org\/I55732556","display_name":"Arizona State University","ror":"https:\/\/ror.org\/03efmqc40","country_code":"US","type":"education","lineage":["https:\/\/openalex.org\/I55732556"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Alimohammad Beigi","raw_affiliation_strings":["School of Computing and AI, Arizona State University,Tempe,AZ"],"affiliations":[{"raw_affiliation_string":"School of Computing and AI, Arizona State University,Tempe,AZ","institution_ids":["https:\/\/openalex.org\/I55732556"]}]},{"author_position":"middle","author":{"id":"https:\/\/openalex.org\/A5101997705","display_name":"Zhen Tan","orcid":"https:\/\/orcid.org\/0009-0004-2082-8566"},"institutions":[{"id":"https:\/\/openalex.org\/I55732556","display_name":"Arizona State University","ror":"https:\/\/ror.org\/03efmqc40","country_code":"US","type":"education","lineage":["https:\/\/openalex.org\/I55732556"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhen Tan","raw_affiliation_strings":["School of Computing and AI, Arizona State University,Tempe,AZ"],"affiliations":[{"raw_affiliation_string":"School of Computing and AI, Arizona State University,Tempe,AZ","institution_ids":["https:\/\/openalex.org\/I55732556"]}]},{"author_position":"middle","author":{"id":"https:\/\/openalex.org\/A5073609142","display_name":"Nivedh Mudiam","orcid":"https:\/\/orcid.org\/0009-0000-1133-1401"},"institutions":[{"id":"https:\/\/openalex.org\/I55732556","display_name":"Arizona State University","ror":"https:\/\/ror.org\/03efmqc40","country_code":"US","type":"education","lineage":["https:\/\/openalex.org\/I55732556"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nivedh Mudiam","raw_affiliation_strings":["School of Computing and AI, Arizona State University,Tempe,AZ"],"affiliations":[{"raw_affiliation_string":"School of Computing and AI, Arizona State University,Tempe,AZ","institution_ids":["https:\/\/openalex.org\/I55732556"]}]},{"author_position":"middle","author":{"id":"https:\/\/openalex.org\/A5041743309","display_name":"Canyu Chen","orcid":"https:\/\/orcid.org\/0000-0003-0937-1046"},"institutions":[{"id":"https:\/\/openalex.org\/I180949307","display_name":"Illinois Institute of Technology","ror":"https:\/\/ror.org\/037t3ry66","country_code":"US","type":"education","lineage":["https:\/\/openalex.org\/I180949307"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Canyu Chen","raw_affiliation_strings":["Illinois Institute of Technology,Department of Computer Science,Chicago,IL"],"affiliations":[{"raw_affiliation_string":"Illinois Institute of Technology,Department of Computer Science,Chicago,IL","institution_ids":["https:\/\/openalex.org\/I180949307"]}]},{"author_position":"middle","author":{"id":"https:\/\/openalex.org\/A5010533974","display_name":"Kai Shu","orcid":"https:\/\/orcid.org\/0009-0007-3302-6003"},"institutions":[{"id":"https:\/\/openalex.org\/I150468666","display_name":"Emory University","ror":"https:\/\/ror.org\/03czfpz43","country_code":"US","type":"education","lineage":["https:\/\/openalex.org\/I150468666"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kai Shu","raw_affiliation_strings":["Emory University,Department of Computer Science,Atlanta,GA"],"affiliations":[{"raw_affiliation_string":"Emory University,Department of Computer Science,Atlanta,GA","institution_ids":["https:\/\/openalex.org\/I150468666"]}]},{"author_position":"last","author":{"id":"https:\/\/openalex.org\/A5100338946","display_name":"Huan Liu","orcid":"https:\/\/orcid.org\/0000-0002-3264-7904"},"institutions":[{"id":"https:\/\/openalex.org\/I55732556","display_name":"Arizona State University","ror":"https:\/\/ror.org\/03efmqc40","country_code":"US","type":"education","lineage":["https:\/\/openalex.org\/I55732556"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Huan Liu","raw_affiliation_strings":["School of Computing and AI, Arizona State University,Tempe,AZ"],"affiliations":[{"raw_affiliation_string":"School of Computing and AI, Arizona State University,Tempe,AZ","institution_ids":["https:\/\/openalex.org\/I55732556"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https:\/\/openalex.org\/A5114129610"],"corresponding_institution_ids":["https:\/\/openalex.org\/I55732556"],"apc_list":null,"apc_paid":null,"fwci":0.3862,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.68428352,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"10"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https:\/\/openalex.org\/T10028","display_name":"Topic Modeling","score":0.8125,"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\/T10028","display_name":"Topic Modeling","score":0.8125,"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\/T10181","display_name":"Natural Language Processing Techniques","score":0.8125,"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\/disinformation","display_name":"Disinformation","score":0.8220269680023193},{"id":"https:\/\/openalex.org\/keywords\/generalization","display_name":"Generalization","score":0.7180479168891907},{"id":"https:\/\/openalex.org\/keywords\/computer-science","display_name":"Computer science","score":0.6675742268562317},{"id":"https:\/\/openalex.org\/keywords\/artificial-intelligence","display_name":"Artificial intelligence","score":0.5951072573661804},{"id":"https:\/\/openalex.org\/keywords\/domain","display_name":"Domain (mathematical analysis)","score":0.5660018920898438},{"id":"https:\/\/openalex.org\/keywords\/natural-language-processing","display_name":"Natural language processing","score":0.5280704498291016},{"id":"https:\/\/openalex.org\/keywords\/mathematics","display_name":"Mathematics","score":0.12773698568344116},{"id":"https:\/\/openalex.org\/keywords\/social-media","display_name":"Social media","score":0.08861631155014038},{"id":"https:\/\/openalex.org\/keywords\/world-wide-web","display_name":"World Wide Web","score":0.08389043807983398}],"concepts":[{"id":"https:\/\/openalex.org\/C2776552730","wikidata":"https:\/\/www.wikidata.org\/wiki\/Q189656","display_name":"Disinformation","level":3,"score":0.8220269680023193},{"id":"https:\/\/openalex.org\/C177148314","wikidata":"https:\/\/www.wikidata.org\/wiki\/Q170084","display_name":"Generalization","level":2,"score":0.7180479168891907},{"id":"https:\/\/openalex.org\/C41008148","wikidata":"https:\/\/www.wikidata.org\/wiki\/Q21198","display_name":"Computer science","level":0,"score":0.6675742268562317},{"id":"https:\/\/openalex.org\/C154945302","wikidata":"https:\/\/www.wikidata.org\/wiki\/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5951072573661804},{"id":"https:\/\/openalex.org\/C36503486","wikidata":"https:\/\/www.wikidata.org\/wiki\/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5660018920898438},{"id":"https:\/\/openalex.org\/C204321447","wikidata":"https:\/\/www.wikidata.org\/wiki\/Q30642","display_name":"Natural language processing","level":1,"score":0.5280704498291016},{"id":"https:\/\/openalex.org\/C33923547","wikidata":"https:\/\/www.wikidata.org\/wiki\/Q395","display_name":"Mathematics","level":0,"score":0.12773698568344116},{"id":"https:\/\/openalex.org\/C518677369","wikidata":"https:\/\/www.wikidata.org\/wiki\/Q202833","display_name":"Social media","level":2,"score":0.08861631155014038},{"id":"https:\/\/openalex.org\/C136764020","wikidata":"https:\/\/www.wikidata.org\/wiki\/Q466","display_name":"World Wide Web","level":1,"score":0.08389043807983398},{"id":"https:\/\/openalex.org\/C134306372","wikidata":"https:\/\/www.wikidata.org\/wiki\/Q7754","display_name":"Mathematical analysis","level":1,"score":0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109\/dsaa61799.2024.10722818","is_oa":false,"landing_page_url":"https:\/\/doi.org\/10.1109\/dsaa61799.2024.10722818","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 11th International Conference on Data Science and Advanced Analytics (DSAA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https:\/\/openalex.org\/G2916052176","display_name":null,"funder_award_id":"17STQAC00001-08-00","funder_id":"https:\/\/openalex.org\/F4320306110","funder_display_name":"U.S. Department of Homeland Security"},{"id":"https:\/\/openalex.org\/G8162872396","display_name":null,"funder_award_id":"IIS-2229461,SaTC-2241068,IIS-2339198","funder_id":"https:\/\/openalex.org\/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https:\/\/openalex.org\/F4320306076","display_name":"National Science Foundation","ror":"https:\/\/ror.org\/021nxhr62"},{"id":"https:\/\/openalex.org\/F4320306110","display_name":"U.S. Department of Homeland Security","ror":"https:\/\/ror.org\/00jyr0d86"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https:\/\/openalex.org\/W1682403713","https:\/\/openalex.org\/W2067549128","https:\/\/openalex.org\/W2164943005","https:\/\/openalex.org\/W2514769532","https:\/\/openalex.org\/W2798813225","https:\/\/openalex.org\/W2920890733","https:\/\/openalex.org\/W2963683654","https:\/\/openalex.org\/W3011573535","https:\/\/openalex.org\/W3031781733","https:\/\/openalex.org\/W3035524453","https:\/\/openalex.org\/W3036847733","https:\/\/openalex.org\/W3114610051","https:\/\/openalex.org\/W3156636935","https:\/\/openalex.org\/W3156800454","https:\/\/openalex.org\/W3176108833","https:\/\/openalex.org\/W4316660917","https:\/\/openalex.org\/W4381789739","https:\/\/openalex.org\/W4387191723","https:\/\/openalex.org\/W4389041348","https:\/\/openalex.org\/W4389519606","https:\/\/openalex.org\/W4392637286","https:\/\/openalex.org\/W4392669928","https:\/\/openalex.org\/W4394717795","https:\/\/openalex.org\/W4395117550","https:\/\/openalex.org\/W4395703241","https:\/\/openalex.org\/W4403724445","https:\/\/openalex.org\/W6637618735","https:\/\/openalex.org\/W6683124652","https:\/\/openalex.org\/W6754770232","https:\/\/openalex.org\/W6764632358","https:\/\/openalex.org\/W6776700526","https:\/\/openalex.org\/W6784874100"],"related_works":["https:\/\/openalex.org\/W3043508177","https:\/\/openalex.org\/W4382752644","https:\/\/openalex.org\/W4309170162","https:\/\/openalex.org\/W3049488969","https:\/\/openalex.org\/W2043544044","https:\/\/openalex.org\/W3209170404","https:\/\/openalex.org\/W2067549128","https:\/\/openalex.org\/W4226303916","https:\/\/openalex.org\/W4388052379","https:\/\/openalex.org\/W3204019825"],"abstract_inverted_index":{"Model":[0],"attribution":[1,70,89,184],"for":[2],"LLM-generated":[3],"disinformation":[4,29,42],"poses":[5],"a":[6,72,81,120],"significant":[7],"challenge":[8],"in":[9,36,103,139,182],"understanding":[10],"its":[11,15],"origins":[12],"and":[13,141,163,165,172,191],"mitigating":[14],"spread.":[16],"This":[17,128],"task":[18],"is":[19,130],"especially":[20],"challenging":[21],"because":[22],"modern":[23],"large":[24],"language":[25],"models":[26,107],"(LLMs)":[27],"produce":[28],"with":[30],"human-like":[31],"quality.":[32],"Additionally,":[33],"the":[34,55,59,66,105,134,177],"diversity":[35],"prompting":[37,78,159],"methods":[38,48],"used":[39],"to":[40,94,132,137],"generate":[41],"complicates":[43],"accurate":[44],"source":[45,147],"attribution.":[46],"These":[47],"introduce":[49,65,119],"domain-specific":[50,96],"features":[51],"that":[52,86],"can":[53],"mask":[54],"fundamental":[56],"characteristics":[57],"of":[58,68,179],"models.":[60],"In":[61],"this":[62],"paper,":[63],"we":[64,118],"concept":[67],"model":[69,90,152,183],"as":[71],"domain":[73],"generalization":[74],"problem,":[75],"where":[76],"each":[77],"method":[79,129],"represents":[80],"unique":[82],"domain.":[83],"We":[84,149],"argue":[85],"an":[87],"effective":[88],"must":[91],"be":[92,101],"invariant":[93],"these":[95],"features.":[97],"It":[98],"should":[99],"also":[100],"proficient":[102],"identifying":[104],"originating":[106],"across":[108,189],"all":[109],"scenarios,":[110],"reflecting":[111],"real-world":[112],"detection":[113],"challenges.":[114],"To":[115],"address":[116],"this,":[117],"novel":[121],"approach":[122,181],"based":[123],"on":[124,143],"Supervised":[125],"Contrastive":[126],"Learning.":[127],"designed":[131],"enhance":[133],"model's":[135],"robustness":[136],"variations":[138],"prompts":[140],"focuses":[142],"distinguishing":[144],"between":[145],"different":[146],"LLMs.":[148],"evaluate":[150],"our":[151,180],"through":[153],"rigorous":[154],"experiments":[155],"involving":[156],"three":[157,166],"common":[158],"methods:":[160],"\u201copen-ended\u201d,":[161],"\u201crewriting\u201d,":[162],"\u201cparaphrasing\u201d,":[164],"advanced":[167],"LLMs:":[168],"\u201cllama":[169],"2\u201d,":[170],"\u201cchatgpt\u201d,":[171],"\u201cvicuna\u201d.":[173],"Our":[174],"results":[175],"demonstrate":[176],"effectiveness":[178],"tasks,":[185],"achieving":[186],"state-of-the-art":[187],"performance":[188],"diverse":[190],"unseen":[192],"datasets.":[193]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2025-12-27T23:08:20.325037","created_date":"2025-10-10T00:00:00"}