{"id":"https://openalex.org/W7155062958","doi":"https://doi.org/10.48550/arxiv.2604.17803","title":"Adversarial Arena: Crowdsourcing Data Generation through Interactive Competition","display_name":"Adversarial Arena: Crowdsourcing Data Generation through Interactive Competition","publication_year":2026,"publication_date":"2026-04-20","ids":{"openalex":"https://openalex.org/W7155062958","doi":"https://doi.org/10.48550/arxiv.2604.17803"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2604.17803","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.17803","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.2604.17803","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5072713291","display_name":"Prasoon Goyal","orcid":"https://orcid.org/0000-0003-3121-1241"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Goyal, Prasoon","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030667720","display_name":"Sattvik Sahai","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sahai, Sattvik","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5134131917","display_name":"Michael Johnston","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Johnston, Michael","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5134148819","display_name":"Hangjie Shi","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shi, Hangjie","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5134112238","display_name":"Yao Lu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lu, Yao","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021156437","display_name":"Shaohua Liu","orcid":"https://orcid.org/0009-0001-1856-6999"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liu, Shaohua","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071360545","display_name":"Anna Rumshisky","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Rumshisky, Anna","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5134133184","display_name":"Rahul Gupta","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gupta, Rahul","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068850854","display_name":"Anna Gottardi","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gottardi, Anna","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100603762","display_name":"Desheng Zhang","orcid":"https://orcid.org/0000-0001-9307-8736"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Desheng","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042000782","display_name":"Lavina Vaz","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Vaz, Lavina","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032084140","display_name":"Leslie Ball","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ball, Leslie","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5134138641","display_name":"Lucy Hu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hu, Lucy","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038589205","display_name":"Luke Dai","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dai, Luke","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5134154810","display_name":"Samyuth Sagi","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sagi, Samyuth","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5134179189","display_name":"Maureen Murray","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Murray, Maureen","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5090325019","display_name":"Sankaranarayanan Ananthakrishnan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ananthakrishnan, Sankaranarayanan","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":0.33550000190734863,"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":0.33550000190734863,"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/T11644","display_name":"Spam and Phishing Detection","score":0.11029999703168869,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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":0.0997999981045723,"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/crowdsourcing","display_name":"Crowdsourcing","score":0.8693000078201294},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.8689000010490417},{"id":"https://openalex.org/keywords/framing","display_name":"Framing (construction)","score":0.6787999868392944},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.46720001101493835},{"id":"https://openalex.org/keywords/competition","display_name":"Competition (biology)","score":0.46639999747276306},{"id":"https://openalex.org/keywords/data-quality","display_name":"Data quality","score":0.40619999170303345},{"id":"https://openalex.org/keywords/adversary","display_name":"Adversary","score":0.34850001335144043}],"concepts":[{"id":"https://openalex.org/C62230096","wikidata":"https://www.wikidata.org/wiki/Q275969","display_name":"Crowdsourcing","level":2,"score":0.8693000078201294},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.8689000010490417},{"id":"https://openalex.org/C169087156","wikidata":"https://www.wikidata.org/wiki/Q2131593","display_name":"Framing (construction)","level":2,"score":0.6787999868392944},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6784999966621399},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.5335999727249146},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.46720001101493835},{"id":"https://openalex.org/C91306197","wikidata":"https://www.wikidata.org/wiki/Q45767","display_name":"Competition (biology)","level":2,"score":0.46639999747276306},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.41260001063346863},{"id":"https://openalex.org/C24756922","wikidata":"https://www.wikidata.org/wiki/Q1757694","display_name":"Data quality","level":3,"score":0.40619999170303345},{"id":"https://openalex.org/C41065033","wikidata":"https://www.wikidata.org/wiki/Q2825412","display_name":"Adversary","level":2,"score":0.34850001335144043},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3449000120162964},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.31940001249313354},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.3012999892234802},{"id":"https://openalex.org/C40305131","wikidata":"https://www.wikidata.org/wiki/Q2616305","display_name":"Obfuscation","level":2,"score":0.2921999990940094},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.28850001096725464},{"id":"https://openalex.org/C160920958","wikidata":"https://www.wikidata.org/wiki/Q7662746","display_name":"Synthetic data","level":2,"score":0.2842999994754791},{"id":"https://openalex.org/C82578977","wikidata":"https://www.wikidata.org/wiki/Q16773055","display_name":"Data aggregator","level":3,"score":0.28189998865127563},{"id":"https://openalex.org/C184356942","wikidata":"https://www.wikidata.org/wiki/Q830382","display_name":"Best practice","level":2,"score":0.27090001106262207},{"id":"https://openalex.org/C206345919","wikidata":"https://www.wikidata.org/wiki/Q20380951","display_name":"Resource (disambiguation)","level":2,"score":0.2651999890804291},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.2551000118255615}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2604.17803","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.17803","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.2604.17803","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.17803","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":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Post-training":[0],"Large":[1],"Language":[2],"Models":[3],"requires":[4],"diverse,":[5],"high-quality":[6],"data":[7,51],"which":[8],"is":[9],"rare":[10],"and":[11,20,60,73,91,131],"costly":[12],"to":[13],"obtain,":[14],"especially":[15],"in":[16,108,125],"low":[17],"resource":[18],"domains":[19],"for":[21,43],"multi-turn":[22,112],"conversations.":[23,113],"Common":[24],"solutions":[25],"are":[26],"crowdsourcing":[27],"or":[28,36,97],"synthetic":[29],"generation,":[30],"but":[31],"both":[32],"often":[33],"yield":[34],"low-quality":[35],"low-diversity":[37],"data.":[38,75],"We":[39,76],"introduce":[40],"Adversarial":[41],"Arena":[42],"building":[44,95],"high":[45],"quality":[46],"conversational":[47],"datasets":[48],"by":[49,80],"framing":[50],"generation":[52,128],"as":[53],"an":[54,115,122],"adversarial":[55],"task:":[56],"attackers":[57],"create":[58],"prompts,":[59],"defenders":[61],"generate":[62],"responses.":[63],"This":[64],"interactive":[65],"competition":[66,83],"between":[67],"multiple":[68],"teams":[69,87],"naturally":[70],"produces":[71],"diverse":[72],"complex":[74],"validated":[77],"this":[78,119],"approach":[79],"conducting":[81],"a":[82],"with":[84],"10":[85],"academic":[86],"from":[88],"top":[89],"US":[90],"European":[92],"universities,":[93],"each":[94],"attacker":[96],"defender":[98],"bots.":[99],"The":[100],"competition,":[101],"focused":[102],"on":[103,118,129,134],"safety":[104],"alignment":[105],"of":[106],"LLMs":[107],"cybersecurity,":[109],"generated":[110],"19,683":[111],"Fine-tuning":[114],"open-source":[116],"model":[117],"dataset":[120],"produced":[121],"18.47%":[123],"improvement":[124,133],"secure":[126],"code":[127],"CyberSecEval-Instruct":[130],"29.42%":[132],"CyberSecEval-MITRE.":[135]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-04-22T00:00:00"}
