{"id":"https://openalex.org/W4389665665","doi":"https://doi.org/10.1109/iros55552.2023.10341559","title":"BRNES: Enabling Security and Privacy-Aware Experience Sharing in Multiagent Robotic and Autonomous Systems","display_name":"BRNES: Enabling Security and Privacy-Aware Experience Sharing in Multiagent Robotic and Autonomous Systems","publication_year":2023,"publication_date":"2023-10-01","ids":{"openalex":"https://openalex.org/W4389665665","doi":"https://doi.org/10.1109/iros55552.2023.10341559"},"language":"en","primary_location":{"id":"doi:10.1109/iros55552.2023.10341559","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros55552.2023.10341559","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)","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/A5058057730","display_name":"Md Tamjid Hossain","orcid":"https://orcid.org/0000-0002-5674-7918"},"institutions":[{"id":"https://openalex.org/I134113660","display_name":"University of Nevada, Reno","ror":"https://ror.org/01keh0577","country_code":"US","type":"education","lineage":["https://openalex.org/I134113660"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Md Tamjid Hossain","raw_affiliation_strings":["University of Nevada,The Advanced Robotics and Automation Lab, Computer Science and Engineering,Reno,Nevada,USA","The Advanced Robotics and Automation Lab, Computer Science and Engineering, University of Nevada, Reno, Nevada, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Nevada,The Advanced Robotics and Automation Lab, Computer Science and Engineering,Reno,Nevada,USA","institution_ids":["https://openalex.org/I134113660"]},{"raw_affiliation_string":"The Advanced Robotics and Automation Lab, Computer Science and Engineering, University of Nevada, Reno, Nevada, USA","institution_ids":["https://openalex.org/I134113660"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060555317","display_name":"Hung Manh La","orcid":"https://orcid.org/0000-0003-2183-2634"},"institutions":[{"id":"https://openalex.org/I134113660","display_name":"University of Nevada, Reno","ror":"https://ror.org/01keh0577","country_code":"US","type":"education","lineage":["https://openalex.org/I134113660"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hung Manh La","raw_affiliation_strings":["University of Nevada,The Advanced Robotics and Automation Lab, Computer Science and Engineering,Reno,Nevada,USA","The Advanced Robotics and Automation Lab, Computer Science and Engineering, University of Nevada, Reno, Nevada, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Nevada,The Advanced Robotics and Automation Lab, Computer Science and Engineering,Reno,Nevada,USA","institution_ids":["https://openalex.org/I134113660"]},{"raw_affiliation_string":"The Advanced Robotics and Automation Lab, Computer Science and Engineering, University of Nevada, Reno, Nevada, USA","institution_ids":["https://openalex.org/I134113660"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103008848","display_name":"Shahriar Badsha","orcid":"https://orcid.org/0000-0001-6663-2164"},"institutions":[{"id":"https://openalex.org/I4210120115","display_name":"Robert Bosch (United States)","ror":"https://ror.org/02venad53","country_code":"US","type":"company","lineage":["https://openalex.org/I4210120115","https://openalex.org/I889804353"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shahriar Badsha","raw_affiliation_strings":["Bosch Engineering,North America","Bosch Engineering, North America"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Bosch Engineering,North America","institution_ids":["https://openalex.org/I4210120115"]},{"raw_affiliation_string":"Bosch Engineering, North America","institution_ids":["https://openalex.org/I4210120115"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055421257","display_name":"Anton Netchaev","orcid":"https://orcid.org/0000-0002-8463-1779"},"institutions":[{"id":"https://openalex.org/I1304082316","display_name":"United States Department of the Army","ror":"https://ror.org/035w1gb98","country_code":"US","type":"government","lineage":["https://openalex.org/I1304082316","https://openalex.org/I1330347796"]},{"id":"https://openalex.org/I1306490931","display_name":"United States Army Corps of Engineers","ror":"https://ror.org/05w4e8v21","country_code":"US","type":"government","lineage":["https://openalex.org/I1304082316","https://openalex.org/I1306490931","https://openalex.org/I1330347796"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Anton Netchaev","raw_affiliation_strings":["The U.S. Army Corps"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The U.S. Army Corps","institution_ids":["https://openalex.org/I1304082316","https://openalex.org/I1306490931"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.218,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.49228697,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"9269","last_page":"9276"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9998999834060669,"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/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9998999834060669,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9959999918937683,"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/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9959999918937683,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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/adversarial-system","display_name":"Adversarial system","score":0.8366838693618774},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7987650036811829},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.6434749960899353},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.623732328414917},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.5457101464271545},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.5327173471450806},{"id":"https://openalex.org/keywords/differential-privacy","display_name":"Differential privacy","score":0.5297361612319946},{"id":"https://openalex.org/keywords/private-information-retrieval","display_name":"Private information retrieval","score":0.5142807364463806},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.47672906517982483},{"id":"https://openalex.org/keywords/pseudonym","display_name":"Pseudonym","score":0.46391168236732483},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4589044451713562},{"id":"https://openalex.org/keywords/information-leakage","display_name":"Information leakage","score":0.4563484787940979},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.39257219433784485},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.20498988032341003}],"concepts":[{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.8366838693618774},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7987650036811829},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6434749960899353},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.623732328414917},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.5457101464271545},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.5327173471450806},{"id":"https://openalex.org/C23130292","wikidata":"https://www.wikidata.org/wiki/Q5275358","display_name":"Differential privacy","level":2,"score":0.5297361612319946},{"id":"https://openalex.org/C99221444","wikidata":"https://www.wikidata.org/wiki/Q1532069","display_name":"Private information retrieval","level":2,"score":0.5142807364463806},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.47672906517982483},{"id":"https://openalex.org/C2776021475","wikidata":"https://www.wikidata.org/wiki/Q61002","display_name":"Pseudonym","level":2,"score":0.46391168236732483},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4589044451713562},{"id":"https://openalex.org/C2779201187","wikidata":"https://www.wikidata.org/wiki/Q2775060","display_name":"Information leakage","level":2,"score":0.4563484787940979},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.39257219433784485},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.20498988032341003},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iros55552.2023.10341559","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros55552.2023.10341559","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5482045354","display_name":null,"funder_award_id":"NSF-CAREER: 1846513,NSF-PFI-TT: 1919127","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W2014556603","https://openalex.org/W2097272254","https://openalex.org/W2120510885","https://openalex.org/W2620645529","https://openalex.org/W2794674331","https://openalex.org/W2813428123","https://openalex.org/W2911978475","https://openalex.org/W2928977918","https://openalex.org/W2940805057","https://openalex.org/W2970356364","https://openalex.org/W2979229105","https://openalex.org/W2990850608","https://openalex.org/W3008145398","https://openalex.org/W3093537510","https://openalex.org/W3108439758","https://openalex.org/W3127561923","https://openalex.org/W3156248677","https://openalex.org/W3186333353","https://openalex.org/W3200331505","https://openalex.org/W3212907084","https://openalex.org/W3213784935","https://openalex.org/W4221102161","https://openalex.org/W4283796812","https://openalex.org/W6735698609","https://openalex.org/W6749304979","https://openalex.org/W6775850705","https://openalex.org/W6797949073","https://openalex.org/W6860737519","https://openalex.org/W6908509362"],"related_works":["https://openalex.org/W4296973715","https://openalex.org/W3093310219","https://openalex.org/W3080908196","https://openalex.org/W4387193529","https://openalex.org/W3101646702","https://openalex.org/W2784486299","https://openalex.org/W3122800147","https://openalex.org/W3002570285","https://openalex.org/W3128892202","https://openalex.org/W4226134241"],"abstract_inverted_index":{"Although":[0],"experience":[1,123],"sharing":[2],"(ES)":[3],"accelerates":[4],"multiagent":[5,19],"reinforcement":[6],"learning":[7,60,117],"(MARL)":[8],"in":[9,38,87,164,201],"an":[10,63,68,202],"advisor-advisee":[11],"framework,":[12],"attempts":[13],"to":[14,17,52,74,126,132,169,175],"apply":[15],"ES":[16,84,153],"decentralized":[18],"systems":[20],"have":[21],"so":[22],"far":[23],"relied":[24],"on":[25],"trusted":[26],"environments":[27],"and":[28,35,55,80,94,119,173,194],"over-looked":[29],"the":[30,53,58,76,82,134,145,152,162,167,183,190,198],"possibility":[31],"of":[32,89,166],"adversarial":[33,140,203],"manipulation":[34],"inference.":[36],"Nevertheless,":[37],"a":[39,100,108,121],"real-world":[40],"setting,":[41],"some":[42],"Byzantine":[43,128],"attackers,":[44],"disguised":[45,66],"as":[46,67],"advisors,":[47],"may":[48,70],"provide":[49],"false":[50],"advice":[51],"advisee":[54,114],"catastrophically":[56],"degrade":[57],"overall":[59],"performance.":[61],"Also,":[62],"inference":[64,141],"attacker,":[65],"advisee,":[69],"conduct":[71],"several":[72],"queries":[73],"infer":[75],"advisors'":[77],"private":[78,136,199],"information":[79,137],"make":[81],"entire":[83],"process":[85],"questionable":[86],"terms":[88,165],"privacy":[90,148],"leakage.":[91],"To":[92],"address":[93],"tackle":[95],"these":[96],"issues,":[97],"we":[98,143],"propose":[99],"novel":[101],"MARL":[102],"framework":[103,160,185],"(BRNES)":[104],"that":[105,158,182],"heuristically":[106],"selects":[107],"dynamic":[109],"neighbor":[110],"zone":[111],"for":[112],"each":[113,116],"at":[115],"step":[118],"adopts":[120],"weighted":[122],"aggregation":[124],"technique":[125],"reduce":[127],"attack":[129],"impact.":[130],"Furthermore,":[131],"keep":[133],"agent's":[135],"safe":[138],"from":[139],"attacks,":[142],"leverage":[144],"local":[146],"differential":[147],"(LDP)-induced":[149],"noise":[150],"during":[151],"process.":[154],"Our":[155],"experiments":[156],"show":[157],"our":[159,179],"outperforms":[161],"state-of-the-art":[163],"steps":[168],"goal,":[170],"obtained":[171],"reward,":[172],"time":[174],"goal":[176],"metrics.":[177],"Particularly,":[178],"evaluation":[180],"shows":[181],"proposed":[184],"is":[186],"8.32x":[187],"faster":[188,196],"than":[189,197],"current":[191],"non-private":[192],"frameworks":[193,200],"1.41x":[195],"setting.":[204]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}