{"id":"https://openalex.org/W7101637647","doi":"https://doi.org/10.48550/arxiv.2510.21983","title":"Uncovering the Persuasive Fingerprint of LLMs in Jailbreaking Attacks","display_name":"Uncovering the Persuasive Fingerprint of LLMs in Jailbreaking Attacks","publication_year":2025,"publication_date":"2025-10-24","ids":{"openalex":"https://openalex.org/W7101637647","doi":"https://doi.org/10.48550/arxiv.2510.21983"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2510.21983","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2510.21983","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2510.21983","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Noughabi, Havva Alizadeh","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Noughabi, Havva Alizadeh","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Serbanescu, Julien","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Serbanescu, Julien","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Zarrinkalam, Fattane","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zarrinkalam, Fattane","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":null,"display_name":"Dehghantanha, Ali","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dehghantanha, Ali","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"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":true,"primary_topic":{"id":"https://openalex.org/T12262","display_name":"Hate Speech and Cyberbullying Detection","score":0.15880000591278076,"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/T12262","display_name":"Hate Speech and Cyberbullying Detection","score":0.15880000591278076,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.09560000151395798,"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/T12268","display_name":"Deception detection and forensic psychology","score":0.06069999933242798,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/persuasion","display_name":"Persuasion","score":0.7631000280380249},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.669700026512146},{"id":"https://openalex.org/keywords/readability","display_name":"Readability","score":0.6255999803543091},{"id":"https://openalex.org/keywords/fingerprint","display_name":"Fingerprint (computing)","score":0.4041999876499176},{"id":"https://openalex.org/keywords/interrogative","display_name":"Interrogative","score":0.39649999141693115},{"id":"https://openalex.org/keywords/sophistication","display_name":"Sophistication","score":0.39089998602867126}],"concepts":[{"id":"https://openalex.org/C2781310500","wikidata":"https://www.wikidata.org/wiki/Q1231428","display_name":"Persuasion","level":2,"score":0.7631000280380249},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.669700026512146},{"id":"https://openalex.org/C2778143727","wikidata":"https://www.wikidata.org/wiki/Q1820650","display_name":"Readability","level":2,"score":0.6255999803543091},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.49390000104904175},{"id":"https://openalex.org/C108827166","wikidata":"https://www.wikidata.org/wiki/Q175975","display_name":"Internet privacy","level":1,"score":0.4641000032424927},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.4544000029563904},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.41029998660087585},{"id":"https://openalex.org/C2777826928","wikidata":"https://www.wikidata.org/wiki/Q3745713","display_name":"Fingerprint (computing)","level":2,"score":0.4041999876499176},{"id":"https://openalex.org/C57098296","wikidata":"https://www.wikidata.org/wiki/Q12021746","display_name":"Interrogative","level":2,"score":0.39649999141693115},{"id":"https://openalex.org/C168725872","wikidata":"https://www.wikidata.org/wiki/Q991663","display_name":"Sophistication","level":2,"score":0.39089998602867126},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3774000108242035},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.34049999713897705},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.32839998602867126},{"id":"https://openalex.org/C2778223634","wikidata":"https://www.wikidata.org/wiki/Q224952","display_name":"Suspect","level":2,"score":0.311599999666214},{"id":"https://openalex.org/C120936955","wikidata":"https://www.wikidata.org/wiki/Q2155640","display_name":"Empirical research","level":2,"score":0.31029999256134033},{"id":"https://openalex.org/C131158328","wikidata":"https://www.wikidata.org/wiki/Q1307337","display_name":"Social influence","level":2,"score":0.29170000553131104},{"id":"https://openalex.org/C115086926","wikidata":"https://www.wikidata.org/wiki/Q17004651","display_name":"Causal reasoning","level":3,"score":0.2849000096321106},{"id":"https://openalex.org/C2779732396","wikidata":"https://www.wikidata.org/wiki/Q2207288","display_name":"Craft","level":2,"score":0.2761000096797943},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.26969999074935913},{"id":"https://openalex.org/C188147891","wikidata":"https://www.wikidata.org/wiki/Q147638","display_name":"Cognitive science","level":1,"score":0.2578999996185303}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2510.21983","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2510.21983","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2510.21983","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2510.21983","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[{"score":0.567752480506897,"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":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Despite":[0],"recent":[1],"advances,":[2],"Large":[3],"Language":[4],"Models":[5],"remain":[6],"vulnerable":[7],"to":[8,38,50,73,104,141],"jailbreak":[9,123,143],"attacks":[10],"that":[11,44,63,91,119,132],"bypass":[12,136],"alignment":[13,80],"safeguards":[14],"and":[15,31,41,163],"elicit":[16],"harmful":[17],"outputs.":[18],"While":[19],"prior":[20],"research":[21,62],"has":[22,35],"proposed":[23],"various":[24],"attack":[25],"strategies":[26],"differing":[27],"in":[28,82,121,153],"human":[29],"readability":[30],"transferability,":[32],"little":[33],"attention":[34],"been":[36,94],"paid":[37],"the":[39,70,148,155],"linguistic":[40],"psychological":[42],"mechanisms":[43],"may":[45,100],"influence":[46],"a":[47],"model's":[48],"susceptibility":[49],"such":[51],"attacks.":[52],"In":[53],"this":[54],"paper,":[55],"we":[56,89,110],"examine":[57],"an":[58],"interdisciplinary":[59],"line":[60],"of":[61,67,78,150,158],"leverages":[64],"foundational":[65],"theories":[66],"persuasion":[68],"from":[69],"social":[71],"sciences":[72],"craft":[74],"adversarial":[75],"prompts":[76,105,134],"capable":[77],"circumventing":[79],"constraints":[81],"LLMs.":[83],"Drawing":[84],"on":[85,96],"well-established":[86],"persuasive":[87,107,117],"strategies,":[88],"hypothesize":[90],"LLMs,":[92],"having":[93],"trained":[95],"large-scale":[97],"human-generated":[98],"text,":[99],"respond":[101],"more":[102],"compliantly":[103],"with":[106],"structures.":[108],"Furthermore,":[109],"investigate":[111],"whether":[112],"LLMs":[113,130],"themselves":[114],"exhibit":[115],"distinct":[116],"fingerprints":[118],"emerge":[120],"their":[122,139],"responses.":[124],"Empirical":[125],"evaluations":[126],"across":[127],"multiple":[128],"aligned":[129],"reveal":[131],"persuasion-aware":[133],"significantly":[135],"safeguards,":[137],"demonstrating":[138],"potential":[140],"induce":[142],"behaviors.":[144],"This":[145],"work":[146],"underscores":[147],"importance":[149],"cross-disciplinary":[151],"insight":[152],"addressing":[154],"evolving":[156],"challenges":[157],"LLM":[159],"safety.":[160],"The":[161],"code":[162],"data":[164],"are":[165],"available.":[166]},"counts_by_year":[],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2025-10-29T00:00:00"}