{"id":"https://openalex.org/W7135018369","doi":"https://doi.org/10.48550/arxiv.2603.10010","title":"FERRET: Framework for Expansion Reliant Red Teaming","display_name":"FERRET: Framework for Expansion Reliant Red Teaming","publication_year":2026,"publication_date":"2026-02-17","ids":{"openalex":"https://openalex.org/W7135018369","doi":"https://doi.org/10.48550/arxiv.2603.10010"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2603.10010","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.10010","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","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.2603.10010","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5056269049","display_name":"Ninareh Mehrabi","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mehrabi, Ninareh","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061227377","display_name":"V\u00edtor Albiero","orcid":"https://orcid.org/0000-0002-8607-9914"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Albiero, Vitor","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027704717","display_name":"Maya Pavlova","orcid":"https://orcid.org/0000-0003-2348-3650"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Pavlova, Maya","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5072736125","display_name":"Joanna Bitton","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bitton, Joanna","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":0.4011000096797943,"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":0.4011000096797943,"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":0.094200000166893,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.0640999972820282,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/conversation","display_name":"Conversation","score":0.8144000172615051},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.7275999784469604},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.3982999920845032},{"id":"https://openalex.org/keywords/phase","display_name":"Phase (matter)","score":0.36090001463890076},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.34529998898506165}],"concepts":[{"id":"https://openalex.org/C2777200299","wikidata":"https://www.wikidata.org/wiki/Q52943","display_name":"Conversation","level":2,"score":0.8144000172615051},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.7275999784469604},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5715000033378601},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4092000126838684},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.3982999920845032},{"id":"https://openalex.org/C44280652","wikidata":"https://www.wikidata.org/wiki/Q104837","display_name":"Phase (matter)","level":2,"score":0.36090001463890076},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.34529998898506165},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.3046000003814697},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.29899999499320984},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.2639999985694885},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2556000053882599}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2603.10010","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.10010","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2603.10010","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.10010","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"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":{"We":[0,123],"introduce":[1,25],"a":[2,21,66,121],"multi-faceted":[3],"automated":[4,140],"red":[5,52,107,141],"teaming":[6,142],"framework":[7,126],"in":[8,31,45,71,84,100,153],"which":[9,46,72,101],"the":[10,47,51,73,85,102,106,118,149,167],"goal":[11,48,74,103],"is":[12,49,75,104],"to":[13,55,76,110],"generate":[14,58],"multi-modal":[15,94,114,156],"adversarial":[16,36,157],"conversations":[17,95,158],"that":[18,28,63,81],"would":[19,29,64],"break":[20],"target":[22],"model":[23,54,109],"and":[24,34,57,89,96,134,159],"various":[26,138],"expansions":[27,40],"result":[30],"more":[32,59,112],"effective":[33,60,93,113,155],"efficient":[35],"conversations.":[37],"The":[38],"introduced":[39],"include:":[41],"1.":[42],"Horizontal":[43],"expansion":[44,70,87,99],"for":[50,105,129],"team":[53,108],"self-improve":[56],"conversation":[61,79],"starters":[62,80],"shape":[65],"conversation.":[67,122],"2.":[68],"Vertical":[69],"take":[77],"these":[78],"are":[82],"discovered":[83],"horizontal":[86],"phase":[88],"expand":[90],"them":[91],"into":[92],"3.":[97],"Meta":[98],"discover":[111],"attack":[115],"strategies":[116],"during":[117],"course":[119],"of":[120,151,166],"call":[124],"our":[125,145],"FERRET":[127,152],"(Framework":[128],"Expansion":[130],"Reliant":[131],"Red":[132],"Teaming)":[133],"compare":[135],"it":[136],"with":[137],"existing":[139,164],"approaches.":[143,169],"In":[144],"experiments,":[146],"we":[147],"demonstrate":[148],"effectiveness":[150],"generating":[154],"its":[160],"superior":[161],"performance":[162],"against":[163],"state":[165],"art":[168]},"counts_by_year":[],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2026-03-13T00:00:00"}