{"id":"https://openalex.org/W7162092709","doi":"https://doi.org/10.48550/arxiv.2605.21674","title":"Adversarial Reframing: A Framework for Targeted Generation in Language Models","display_name":"Adversarial Reframing: A Framework for Targeted Generation in Language Models","publication_year":2026,"publication_date":"2026-05-20","ids":{"openalex":"https://openalex.org/W7162092709","doi":"https://doi.org/10.48550/arxiv.2605.21674"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2605.21674","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.21674","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":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.2605.21674","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5087605515","display_name":"Shahnewaz Karim Sakib","orcid":"https://orcid.org/0000-0002-5043-3061"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sakib, Shahnewaz Karim","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016947876","display_name":"Swati Kar","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kar, Swati","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5029951257","display_name":"Anindya Bijoy Das","orcid":"https://orcid.org/0000-0002-3615-7400"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Das, Anindya Bijoy","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":false,"primary_topic":{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.8934000134468079,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.8934000134468079,"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":0.023000000044703484,"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/T10883","display_name":"Ethics and Social Impacts of AI","score":0.013100000098347664,"subfield":{"id":"https://openalex.org/subfields/3311","display_name":"Safety Research"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.786899983882904},{"id":"https://openalex.org/keywords/cognitive-reframing","display_name":"Cognitive reframing","score":0.7443000078201294},{"id":"https://openalex.org/keywords/threat-model","display_name":"Threat model","score":0.4302999973297119},{"id":"https://openalex.org/keywords/position","display_name":"Position (finance)","score":0.39640000462532043},{"id":"https://openalex.org/keywords/position-paper","display_name":"Position paper","score":0.3935000002384186},{"id":"https://openalex.org/keywords/language-model","display_name":"Language model","score":0.3727000057697296},{"id":"https://openalex.org/keywords/sociotechnical-system","display_name":"Sociotechnical system","score":0.33799999952316284}],"concepts":[{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.786899983882904},{"id":"https://openalex.org/C187029079","wikidata":"https://www.wikidata.org/wiki/Q958679","display_name":"Cognitive reframing","level":2,"score":0.7443000078201294},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6597999930381775},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.5339000225067139},{"id":"https://openalex.org/C140547941","wikidata":"https://www.wikidata.org/wiki/Q7797194","display_name":"Threat model","level":2,"score":0.4302999973297119},{"id":"https://openalex.org/C112930515","wikidata":"https://www.wikidata.org/wiki/Q4389547","display_name":"Risk analysis (engineering)","level":1,"score":0.42879998683929443},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.39640000462532043},{"id":"https://openalex.org/C78780964","wikidata":"https://www.wikidata.org/wiki/Q7233193","display_name":"Position paper","level":2,"score":0.3935000002384186},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.3727000057697296},{"id":"https://openalex.org/C127627568","wikidata":"https://www.wikidata.org/wiki/Q1639361","display_name":"Sociotechnical system","level":2,"score":0.33799999952316284},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.33149999380111694},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.28459998965263367},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.2833000123500824},{"id":"https://openalex.org/C12174686","wikidata":"https://www.wikidata.org/wiki/Q1058438","display_name":"Risk assessment","level":2,"score":0.26910001039505005},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.25760000944137573},{"id":"https://openalex.org/C95713431","wikidata":"https://www.wikidata.org/wiki/Q631425","display_name":"Vulnerability (computing)","level":2,"score":0.2565999925136566},{"id":"https://openalex.org/C2780966255","wikidata":"https://www.wikidata.org/wiki/Q5474306","display_name":"Foundation (evidence)","level":2,"score":0.2531999945640564},{"id":"https://openalex.org/C179603123","wikidata":"https://www.wikidata.org/wiki/Q1941921","display_name":"Modeling language","level":3,"score":0.25220000743865967},{"id":"https://openalex.org/C11693617","wikidata":"https://www.wikidata.org/wiki/Q181839","display_name":"Pragmatics","level":2,"score":0.2500999867916107}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2605.21674","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.21674","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":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.2605.21674","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.21674","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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.658291757106781,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Large":[0],"Language":[1],"Models":[2],"(LLMs)":[3],"are":[4],"widely":[5],"deployed":[6],"in":[7,42,99,121],"diverse":[8,74],"real-world":[9],"settings,":[10],"yet":[11],"remain":[12],"vulnerable":[13],"to":[14,47],"jailbreaking,":[15],"where":[16],"prompt-based":[17],"attacks":[18],"bypass":[19],"safety":[20,135],"filters.":[21],"We":[22,52],"present":[23],"THREAT":[24,79,126],"(Targeted":[25],"Harmful":[26],"generation":[27],"via":[28],"Reframing":[29],"and":[30,61,69,76,124],"Exploitation":[31],"of":[32,103,136],"Adversarial":[33],"Tactics),":[34],"a":[35,57,128],"reasoning-driven":[36],"framework":[37],"that":[38,66],"coordinates":[39],"multiple":[40],"LLMs":[41,123],"an":[43,63],"iterative":[44],"search":[45],"loop":[46],"find":[48],"textual":[49],"jailbreak":[50],"prompts.":[51,114],"formulate":[53],"prompt":[54],"discovery":[55],"as":[56,97,127],"nonconvex":[58],"optimization":[59],"problem":[60],"provide":[62],"efficient":[64],"solution":[65],"lowers":[67],"runtime":[68],"improves":[70],"attack":[71,82],"effectiveness.":[72],"Across":[73],"datasets":[75],"model":[77],"architectures,":[78],"delivers":[80],"higher":[81],"success":[83],"rates":[84],"with":[85,106],"lower":[86],"computational":[87],"cost":[88],"than":[89,101],"prior":[90],"methods.":[91],"The":[92],"crafted":[93],"prompts":[94],"were":[95],"flagged":[96],"harmful":[98],"fewer":[100],"1%":[102],"cases,":[104],"compared":[105],"about":[107],"50%":[108],"refusals":[109],"for":[110,131],"the":[111,134],"corresponding":[112],"unmodified":[113],"These":[115],"findings":[116],"reveal":[117],"previously":[118],"undetected":[119],"vulnerabilities":[120],"aligned":[122],"position":[125],"practical":[129],"tool":[130],"proactively":[132],"strengthening":[133],"foundation":[137],"models.":[138]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-05-23T00:00:00"}
