{"id":"https://openalex.org/W7147701315","doi":"https://doi.org/10.48550/arxiv.2603.29454","title":"Authorship Impersonation via LLM Prompting does not Evade Authorship Verification Methods","display_name":"Authorship Impersonation via LLM Prompting does not Evade Authorship Verification Methods","publication_year":2026,"publication_date":"2026-03-31","ids":{"openalex":"https://openalex.org/W7147701315","doi":"https://doi.org/10.48550/arxiv.2603.29454"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2603.29454","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.29454","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2603.29454","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5132725289","display_name":"Baoyi Zeng","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Zeng, Baoyi","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5127939671","display_name":"Andrea Nini","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Nini, Andrea","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5132725289"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"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/T12380","display_name":"Authorship Attribution and Profiling","score":0.989300012588501,"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/T12380","display_name":"Authorship Attribution and Profiling","score":0.989300012588501,"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/T12262","display_name":"Hate Speech and Cyberbullying Detection","score":0.003000000026077032,"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/T10028","display_name":"Topic Modeling","score":0.0008999999845400453,"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/stylometry","display_name":"Stylometry","score":0.6456999778747559},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.6377999782562256},{"id":"https://openalex.org/keywords/adversary","display_name":"Adversary","score":0.44920000433921814},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.44369998574256897},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.364300012588501},{"id":"https://openalex.org/keywords/resilience","display_name":"Resilience (materials science)","score":0.35850000381469727},{"id":"https://openalex.org/keywords/diversity","display_name":"Diversity (politics)","score":0.3140999972820282},{"id":"https://openalex.org/keywords/phishing","display_name":"Phishing","score":0.3025999963283539}],"concepts":[{"id":"https://openalex.org/C11192451","wikidata":"https://www.wikidata.org/wiki/Q2032038","display_name":"Stylometry","level":2,"score":0.6456999778747559},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.6377999782562256},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5699999928474426},{"id":"https://openalex.org/C41065033","wikidata":"https://www.wikidata.org/wiki/Q2825412","display_name":"Adversary","level":2,"score":0.44920000433921814},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.44369998574256897},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.41839998960494995},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.364300012588501},{"id":"https://openalex.org/C108827166","wikidata":"https://www.wikidata.org/wiki/Q175975","display_name":"Internet privacy","level":1,"score":0.3589000105857849},{"id":"https://openalex.org/C2779585090","wikidata":"https://www.wikidata.org/wiki/Q3457762","display_name":"Resilience (materials science)","level":2,"score":0.35850000381469727},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.32739999890327454},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3172000050544739},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.31679999828338623},{"id":"https://openalex.org/C2781316041","wikidata":"https://www.wikidata.org/wiki/Q1230584","display_name":"Diversity (politics)","level":2,"score":0.3140999972820282},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.3061999976634979},{"id":"https://openalex.org/C83860907","wikidata":"https://www.wikidata.org/wiki/Q135005","display_name":"Phishing","level":3,"score":0.3025999963283539},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.29989999532699585},{"id":"https://openalex.org/C556601545","wikidata":"https://www.wikidata.org/wiki/Q878553","display_name":"Computer forensics","level":3,"score":0.29899999499320984},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.2944999933242798},{"id":"https://openalex.org/C2779390178","wikidata":"https://www.wikidata.org/wiki/Q29137","display_name":"Cybercrime","level":3,"score":0.2937999963760376},{"id":"https://openalex.org/C164614171","wikidata":"https://www.wikidata.org/wiki/Q5204775","display_name":"DECIPHER","level":2,"score":0.2824000120162964},{"id":"https://openalex.org/C95457728","wikidata":"https://www.wikidata.org/wiki/Q309","display_name":"History","level":0,"score":0.2635999917984009},{"id":"https://openalex.org/C119421448","wikidata":"https://www.wikidata.org/wiki/Q2268776","display_name":"Lying","level":2,"score":0.2597000002861023},{"id":"https://openalex.org/C3020202489","wikidata":"https://www.wikidata.org/wiki/Q2032038","display_name":"Authorship attribution","level":2,"score":0.2558000087738037},{"id":"https://openalex.org/C2781162219","wikidata":"https://www.wikidata.org/wiki/Q26250693","display_name":"Replicate","level":2,"score":0.2533000111579895},{"id":"https://openalex.org/C137176749","wikidata":"https://www.wikidata.org/wiki/Q4105337","display_name":"Psychological resilience","level":2,"score":0.25029999017715454}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2603.29454","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.29454","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2603.29454","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.29454","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},"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":{"Authorship":[0],"verification":[1],"(AV),":[2],"the":[3,84,172,201],"task":[4],"of":[5,21,174],"determining":[6],"whether":[7,63,72],"a":[8,14,18,33,128],"questioned":[9],"text":[10,99],"was":[11],"written":[12],"by":[13,28],"specific":[15],"individual,":[16],"is":[17],"critical":[19],"part":[20],"forensic":[22,38,78],"linguistics.":[23],"While":[24],"manual":[25],"authorial":[26,69,140],"impersonation":[27,89,159,183],"perpetrators":[29],"has":[30],"long":[31],"been":[32],"recognized":[34],"threat":[35],"in":[36,42,198,208],"historical":[37],"cases,":[39],"recent":[40],"advances":[41],"large":[43],"language":[44],"models":[45],"(LLMs)":[46],"raise":[47],"new":[48],"challenges,":[49],"as":[50,83],"adversaries":[51],"may":[52],"exploit":[53],"these":[54,108,167],"tools":[55],"to":[56,137,142,162],"impersonate":[57],"another's":[58],"writing.":[59],"This":[60],"study":[61],"investigates":[62],"prompted":[64],"LLMs":[65],"can":[66,75],"generate":[67],"convincing":[68],"impersonations":[70],"and":[71,101,121,205],"such":[73],"outputs":[74,109],"evade":[76],"existing":[77],"AV":[79,113,145,177],"systems.":[80,146],"Using":[81],"GPT-4o":[82],"adversary":[85],"model,":[86],"we":[87,189],"generated":[88],"texts":[90,135,160],"under":[91],"four":[92],"prompting":[93],"conditions":[94],"across":[95,185],"three":[96],"genres:":[97],"emails,":[98],"messages,":[100],"social":[102],"media":[103],"posts.":[104],"We":[105,147],"then":[106],"evaluated":[107],"against":[110,181],"both":[111],"non-neural":[112],"methods":[114,152],"(n-gram":[115],"tracing,":[116],"Ranking-Based":[117],"Impostors":[118],"Method,":[119],"LambdaG)":[120],"neural":[122],"approaches":[123],"(AdHominem,":[124],"LUAR,":[125],"STAR)":[126],"within":[127],"likelihood-ratio":[129],"framework.":[130],"Results":[131],"show":[132],"that":[133,150,191],"LLM-generated":[134,209],"failed":[136],"sufficiently":[138],"replicate":[139],"individuality":[141],"bypass":[143],"established":[144],"also":[148],"observed":[149],"some":[151],"achieved":[153],"even":[154],"higher":[155,202],"accuracy":[156],"when":[157],"rejecting":[158],"compared":[161],"genuine":[163],"negative":[164],"samples.":[165],"Overall,":[166],"findings":[168],"indicate":[169],"that,":[170],"despite":[171],"accessibility":[173],"LLMs,":[175],"current":[176],"systems":[178],"remain":[179],"robust":[180],"entry-level":[182],"attempts":[184],"multiple":[186],"genres.":[187],"Furthermore,":[188],"demonstrate":[190],"this":[192],"counter-intuitive":[193],"resilience":[194],"stems,":[195],"at":[196],"least":[197],"part,":[199],"from":[200],"lexical":[203],"diversity":[204],"entropy":[206],"inherent":[207],"texts.":[210]},"counts_by_year":[],"updated_date":"2026-04-02T13:53:19.096889","created_date":"2026-04-02T00:00:00"}
