{"id":"https://openalex.org/W4405786051","doi":"https://doi.org/10.1109/iros58592.2024.10801337","title":"MADE: Malicious Agent Detection for Robust Multi-Agent Collaborative Perception","display_name":"MADE: Malicious Agent Detection for Robust Multi-Agent Collaborative Perception","publication_year":2024,"publication_date":"2024-10-14","ids":{"openalex":"https://openalex.org/W4405786051","doi":"https://doi.org/10.1109/iros58592.2024.10801337"},"language":"en","primary_location":{"id":"doi:10.1109/iros58592.2024.10801337","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros58592.2024.10801337","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)","raw_type":"proceedings-article"},"type":"article","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/A5011095985","display_name":"Yangheng Zhao","orcid":"https://orcid.org/0000-0002-1467-2989"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yangheng Zhao","raw_affiliation_strings":["Shanghai Jiao Tong University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085283385","display_name":"Zhen Xiang","orcid":"https://orcid.org/0000-0002-4284-2041"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhen Xiang","raw_affiliation_strings":["University of Illinois,Urbana-Champaign"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Illinois,Urbana-Champaign","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101415050","display_name":"Sheng Yin","orcid":"https://orcid.org/0000-0002-7253-2191"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sheng Yin","raw_affiliation_strings":["Shanghai Jiao Tong University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111060271","display_name":"Xianghe Pang","orcid":null},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xianghe Pang","raw_affiliation_strings":["Shanghai Jiao Tong University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100645705","display_name":"Yanfeng Wang","orcid":"https://orcid.org/0000-0002-3196-2347"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanfeng Wang","raw_affiliation_strings":["Shanghai Jiao Tong University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5066373402","display_name":"Siheng Chen","orcid":"https://orcid.org/0000-0002-9144-0583"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Siheng Chen","raw_affiliation_strings":["Shanghai Jiao Tong University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University","institution_ids":["https://openalex.org/I183067930"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.4343,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.93320962,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"13817","last_page":"13823"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10400","display_name":"Network Security and Intrusion Detection","score":0.9983000159263611,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T10400","display_name":"Network Security and Intrusion Detection","score":0.9983000159263611,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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":0.9940000176429749,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9923999905586243,"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/computer-science","display_name":"Computer science","score":0.7229483723640442},{"id":"https://openalex.org/keywords/multi-agent-system","display_name":"Multi-agent system","score":0.5959723591804504},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.4374735355377197},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.3968248665332794},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.35238656401634216}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7229483723640442},{"id":"https://openalex.org/C41550386","wikidata":"https://www.wikidata.org/wiki/Q529909","display_name":"Multi-agent system","level":2,"score":0.5959723591804504},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.4374735355377197},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.3968248665332794},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35238656401634216},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iros58592.2024.10801337","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros58592.2024.10801337","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.4699999988079071,"id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":41,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W1989898472","https://openalex.org/W2105381419","https://openalex.org/W2110065044","https://openalex.org/W2166693382","https://openalex.org/W2222512263","https://openalex.org/W2604505099","https://openalex.org/W2619383789","https://openalex.org/W2790774536","https://openalex.org/W2890048853","https://openalex.org/W2896632748","https://openalex.org/W2925745050","https://openalex.org/W2963726920","https://openalex.org/W2968296999","https://openalex.org/W2984260944","https://openalex.org/W3035098634","https://openalex.org/W3095753995","https://openalex.org/W3097573595","https://openalex.org/W3109154950","https://openalex.org/W3109991383","https://openalex.org/W3167095230","https://openalex.org/W3203789000","https://openalex.org/W3204155906","https://openalex.org/W4213251304","https://openalex.org/W4214619833","https://openalex.org/W4288712624","https://openalex.org/W4293846201","https://openalex.org/W4312604822","https://openalex.org/W4312939270","https://openalex.org/W4389665383","https://openalex.org/W4390873301","https://openalex.org/W6637162671","https://openalex.org/W6728757088","https://openalex.org/W6752111530","https://openalex.org/W6753468839","https://openalex.org/W6754407747","https://openalex.org/W6784094891","https://openalex.org/W6802966573","https://openalex.org/W6842774165","https://openalex.org/W6845937561","https://openalex.org/W6856519790"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"Recently,":[0],"multi-agent":[1],"collaborative":[2,137],"(MAC)":[3],"perception":[4,13,23,32,73],"has":[5],"been":[6],"proposed":[7],"and":[8,84,135,153,171,202],"outperformed":[9],"the":[10,35,43,103,117,125,145,148,154,183,187,190,195],"traditional":[11],"single-agent":[12,31],"in":[14,91,102,189],"many":[15],"applications,":[16],"such":[17],"as":[18],"autonomous":[19],"driving.":[20],"However,":[21],"MAC":[22,72],"is":[24],"more":[25],"vulnerable":[26],"to":[27,34,71,81,150,178],"adversarial":[28],"attacks":[29],"than":[30],"due":[33],"information":[36,52],"exchange.":[37],"The":[38],"attacker":[39],"can":[40,75],"easily":[41],"degrade":[42],"performance":[44],"of":[45,185],"a":[46,54,67,107,113,131,136,166,172],"victim":[47],"agent":[48,56,80,90,101,149,156],"by":[49,78],"sending":[50],"harmful":[51],"from":[53],"malicious":[55,89],"nearby.":[57],"In":[58,96],"this":[59],"paper,":[60],"we":[61,129],"propose":[62,130],"Malicious":[63],"Agent":[64],"Detection":[65],"(MADE),":[66],"reactive":[68],"defense":[69],"specific":[70],"that":[74],"be":[76,151],"deployed":[77,157],"an":[79],"accurately":[82],"detect":[83],"then":[85],"remove":[86],"any":[87],"potential":[88],"its":[92],"local":[93],"collaboration":[94],"network.":[95],"particular,":[97],"MADE":[98,164],"inspects":[99],"each":[100],"network":[104],"independently":[105],"using":[106],"semi-supervised":[108],"anomaly":[109],"detector":[110],"based":[111,143],"on":[112,144,165],"double-hypothesis":[114],"test":[115],"with":[116,158,182,194],"Benjamini-Hochberg":[118],"procedure":[119],"for":[120],"false":[121],"positive":[122],"control.":[123],"For":[124],"two":[126],"hypothesis":[127],"tests,":[128],"match":[132],"loss":[133,139],"statistic":[134],"reconstruction":[138],"statistic,":[140],"respectively,":[141],"both":[142],"consistency":[146],"between":[147],"inspected":[152],"ego":[155],"our":[159],"detector.":[160],"We":[161],"comprehensively":[162],"evaluate":[163],"benchmark":[167],"3D":[168],"dataset,":[169,174],"V2X-sim,":[170],"real-road":[173],"DAIR-V2X,":[175],"comparing":[176],"it":[177],"baseline":[179],"defenses.":[180],"Notably,":[181],"protection":[184],"MADE,":[186],"drops":[188],"average":[191],"precision":[192],"compared":[193],"best-case":[196],"\u2018Oracle\u2019":[197],"defender":[198],"are":[199],"merely":[200],"1.27%":[201],"0.28%,":[203],"respectively.":[204]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":7}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}