{"id":"https://openalex.org/W4416250943","doi":"https://doi.org/10.1109/ijcnn64981.2025.11227963","title":"Strategic Behavioral Deception in Cooperative-Competitive Multi-Agent Systems","display_name":"Strategic Behavioral Deception in Cooperative-Competitive Multi-Agent Systems","publication_year":2025,"publication_date":"2025-06-30","ids":{"openalex":"https://openalex.org/W4416250943","doi":"https://doi.org/10.1109/ijcnn64981.2025.11227963"},"language":null,"primary_location":{"id":"doi:10.1109/ijcnn64981.2025.11227963","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn64981.2025.11227963","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102397981","display_name":"Wei Hao","orcid":"https://orcid.org/0009-0001-3033-1404"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Hao","raw_affiliation_strings":["Nanjing University,Nanjing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanjing University,Nanjing,China","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041101317","display_name":"Huaping Liu","orcid":"https://orcid.org/0000-0002-4042-6044"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huaping Liu","raw_affiliation_strings":["Tsinghua University,Beijing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua University,Beijing,China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028621949","display_name":"Huanhuan Lv","orcid":"https://orcid.org/0000-0001-9181-6037"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huanhuan Lv","raw_affiliation_strings":["Nanjing University,Nanjing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanjing University,Nanjing,China","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100408989","display_name":"Wenjie Li","orcid":"https://orcid.org/0000-0003-2717-9031"},"institutions":[{"id":"https://openalex.org/I1313079697","display_name":"Southwest University of Political Science & Law","ror":"https://ror.org/02pz16m08","country_code":"CN","type":"education","lineage":["https://openalex.org/I1313079697"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenjie Li","raw_affiliation_strings":["Southwest University of Political Science and Law,Chongqing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Southwest University of Political Science and Law,Chongqing,China","institution_ids":["https://openalex.org/I1313079697"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017171263","display_name":"W.M Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wubin Chen","raw_affiliation_strings":["Nanjing University,Nanjing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanjing University,Nanjing,China","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100398623","display_name":"Lijun Chen","orcid":"https://orcid.org/0000-0002-4685-4533"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lijun Chen","raw_affiliation_strings":["Nanjing University,Nanjing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanjing University,Nanjing,China","institution_ids":["https://openalex.org/I881766915"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"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":"1","last_page":"10"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9639000296592712,"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":0.9639000296592712,"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/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.004800000227987766,"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":0.004600000102072954,"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/exploit","display_name":"Exploit","score":0.7293000221252441},{"id":"https://openalex.org/keywords/deception","display_name":"Deception","score":0.720300018787384},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.7008000016212463},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.5885000228881836},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.49630001187324524},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.4300999939441681}],"concepts":[{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.7293000221252441},{"id":"https://openalex.org/C2779267917","wikidata":"https://www.wikidata.org/wiki/Q170028","display_name":"Deception","level":2,"score":0.720300018787384},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.7008000016212463},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6987000107765198},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.5885000228881836},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5633000135421753},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.49630001187324524},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.4300999939441681},{"id":"https://openalex.org/C2777617010","wikidata":"https://www.wikidata.org/wiki/Q18957","display_name":"Mainstream","level":2,"score":0.36000001430511475},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.34130001068115234},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32670000195503235},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.2825999855995178},{"id":"https://openalex.org/C41065033","wikidata":"https://www.wikidata.org/wiki/Q2825412","display_name":"Adversary","level":2,"score":0.27149999141693115},{"id":"https://openalex.org/C48243021","wikidata":"https://www.wikidata.org/wiki/Q932522","display_name":"Strategic planning","level":2,"score":0.26350000500679016},{"id":"https://openalex.org/C154908896","wikidata":"https://www.wikidata.org/wiki/Q2167404","display_name":"Security policy","level":2,"score":0.2619999945163727},{"id":"https://openalex.org/C43091099","wikidata":"https://www.wikidata.org/wiki/Q1067788","display_name":"Through-the-lens metering","level":3,"score":0.26080000400543213},{"id":"https://openalex.org/C63882131","wikidata":"https://www.wikidata.org/wiki/Q17122954","display_name":"Strengths and weaknesses","level":2,"score":0.2515999972820282}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn64981.2025.11227963","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn64981.2025.11227963","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W2001771035","https://openalex.org/W2172968643","https://openalex.org/W2617547828","https://openalex.org/W2901296176","https://openalex.org/W2908261578","https://openalex.org/W2941205169","https://openalex.org/W2963178695","https://openalex.org/W3015001695","https://openalex.org/W3048888572","https://openalex.org/W3112680002","https://openalex.org/W3116666954","https://openalex.org/W3140377724","https://openalex.org/W3149785004","https://openalex.org/W3200885897","https://openalex.org/W3203120581","https://openalex.org/W3211999566","https://openalex.org/W3213419929","https://openalex.org/W4214619833","https://openalex.org/W4285798688","https://openalex.org/W4308558696","https://openalex.org/W4309375096","https://openalex.org/W4313140285","https://openalex.org/W4362582226","https://openalex.org/W4366828030","https://openalex.org/W4387546320","https://openalex.org/W4387582204","https://openalex.org/W4399597132","https://openalex.org/W4402299892"],"related_works":[],"abstract_inverted_index":{"Adversarial":[0],"attacks":[1],"represent":[2],"a":[3,30,53,72],"fundamental":[4,120],"security":[5,121],"challenge":[6],"for":[7],"artificial":[8],"intelligence":[9],"systems,":[10],"particularly":[11],"in":[12,33,47,123,132],"multi-agent":[13,125],"deployments.":[14],"While":[15],"existing":[16,124],"works":[17],"predominantly":[18],"focus":[19],"on":[20],"direct":[21],"manipulation":[22],"of":[23,64,146],"observations":[24],"or":[25],"model":[26],"parameters,":[27],"we":[28,51,85,106],"identify":[29],"critical":[31],"gap":[32],"understanding":[34],"vulnerabilities":[35],"that":[36,56,75,93,108,139],"emerge":[37],"from":[38],"dynamic":[39],"agent":[40,74],"interactions.":[41],"Two":[42],"key":[43],"objectives":[44],"are":[45],"achieved":[46],"this":[48],"study.":[49],"First,":[50],"propose":[52],"hierarchical":[54],"framework":[55],"develops":[57],"robust":[58],"swarm":[59],"strategies":[60],"through":[61],"multi-round":[62],"training":[63],"intra-swarm":[65],"collaboration":[66],"and":[67,97],"inter-swarm":[68],"competition,":[69],"then":[70],"introduces":[71],"deceptive":[73,103,117],"learns":[76],"to":[77,101,115,152],"exploit":[78],"policy":[79],"weaknesses":[80],"while":[81],"maintaining":[82],"stealth.":[83],"Second,":[84],"introduce":[86],"an":[87,133],"Meta-Deceptive":[88],"Policy":[89],"Learning":[90],"(MDPL)":[91],"algorithm":[92],"leverages":[94],"curriculum":[95],"learning":[96,127],"strategic":[98],"value":[99],"estimation":[100],"optimize":[102],"behaviors.":[104],"Notably,":[105],"discover":[107],"even":[109],"robustly":[110],"trained":[111],"swarms":[112],"remain":[113],"vulnerable":[114],"single-agent":[116],"attacks,":[118],"revealing":[119],"challenges":[122],"reinforcement":[126],"(MARL)":[128],"approaches.":[129],"Extensive":[130],"experiments":[131],"Heterogeneous":[134],"Air-Ground":[135],"Multi-Agent":[136],"environment":[137],"demonstrate":[138],"our":[140],"method":[141],"increases":[142],"the":[143],"win":[144],"rates":[145],"mainstream":[147],"MARL":[148],"algorithms":[149],"by":[150],"11%":[151],"37%.":[153],"A":[154],"demonstration":[155],"video":[156],"is":[157],"available":[158],"at:":[159],"https://youtu.be/zIpyX9H4Z2c.":[160]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-11-14T00:00:00"}
