{"id":"https://openalex.org/W4402352198","doi":"https://doi.org/10.1109/ijcnn60899.2024.10650213","title":"STARNet: Sensor Trustworthiness and Anomaly Recognition via Lightweight Likelihood Regret for Robust Edge Autonomy","display_name":"STARNet: Sensor Trustworthiness and Anomaly Recognition via Lightweight Likelihood Regret for Robust Edge Autonomy","publication_year":2024,"publication_date":"2024-06-30","ids":{"openalex":"https://openalex.org/W4402352198","doi":"https://doi.org/10.1109/ijcnn60899.2024.10650213"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn60899.2024.10650213","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn60899.2024.10650213","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Joint Conference on Neural Networks (IJCNN)","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/A5087116179","display_name":"Nastaran Darabi","orcid":"https://orcid.org/0000-0003-2163-4267"},"institutions":[{"id":"https://openalex.org/I39422238","display_name":"University of Illinois Chicago","ror":"https://ror.org/02mpq6x41","country_code":"US","type":"education","lineage":["https://openalex.org/I39422238"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Nastaran Darabi","raw_affiliation_strings":["University of Illinois,Department of Electrical and Computer Engineering,Chicago,IL,USA,60607"],"affiliations":[{"raw_affiliation_string":"University of Illinois,Department of Electrical and Computer Engineering,Chicago,IL,USA,60607","institution_ids":["https://openalex.org/I39422238"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5092418505","display_name":"Sina Tayebati","orcid":"https://orcid.org/0009-0002-4322-5210"},"institutions":[{"id":"https://openalex.org/I39422238","display_name":"University of Illinois Chicago","ror":"https://ror.org/02mpq6x41","country_code":"US","type":"education","lineage":["https://openalex.org/I39422238"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sina Tayebati","raw_affiliation_strings":["University of Illinois,Department of Electrical and Computer Engineering,Chicago,IL,USA,60607"],"affiliations":[{"raw_affiliation_string":"University of Illinois,Department of Electrical and Computer Engineering,Chicago,IL,USA,60607","institution_ids":["https://openalex.org/I39422238"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006032828","display_name":"S. Senthilkumar","orcid":null},"institutions":[{"id":"https://openalex.org/I39422238","display_name":"University of Illinois Chicago","ror":"https://ror.org/02mpq6x41","country_code":"US","type":"education","lineage":["https://openalex.org/I39422238"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sureshkumar Senthilkumar","raw_affiliation_strings":["University of Illinois,Department of Electrical and Computer Engineering,Chicago,IL,USA,60607"],"affiliations":[{"raw_affiliation_string":"University of Illinois,Department of Electrical and Computer Engineering,Chicago,IL,USA,60607","institution_ids":["https://openalex.org/I39422238"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013620938","display_name":"Dinithi Jayasuriya","orcid":"https://orcid.org/0009-0007-9229-3590"},"institutions":[{"id":"https://openalex.org/I39422238","display_name":"University of Illinois Chicago","ror":"https://ror.org/02mpq6x41","country_code":"US","type":"education","lineage":["https://openalex.org/I39422238"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dinithi Jayasuriya","raw_affiliation_strings":["University of Illinois,Department of Electrical and Computer Engineering,Chicago,IL,USA,60607"],"affiliations":[{"raw_affiliation_string":"University of Illinois,Department of Electrical and Computer Engineering,Chicago,IL,USA,60607","institution_ids":["https://openalex.org/I39422238"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036537097","display_name":"Sathya N. Ravi","orcid":"https://orcid.org/0000-0003-3881-6323"},"institutions":[{"id":"https://openalex.org/I39422238","display_name":"University of Illinois Chicago","ror":"https://ror.org/02mpq6x41","country_code":"US","type":"education","lineage":["https://openalex.org/I39422238"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sathya Ravi","raw_affiliation_strings":["University of Illinois,Department of Computer Science,Chicago,IL,USA,60607"],"affiliations":[{"raw_affiliation_string":"University of Illinois,Department of Computer Science,Chicago,IL,USA,60607","institution_ids":["https://openalex.org/I39422238"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062751346","display_name":"Theja Tulabandhula","orcid":"https://orcid.org/0000-0001-9111-7519"},"institutions":[{"id":"https://openalex.org/I4210133369","display_name":"Decision Sciences (United States)","ror":"https://ror.org/03gcvf773","country_code":"US","type":"company","lineage":["https://openalex.org/I4210133369"]},{"id":"https://openalex.org/I39422238","display_name":"University of Illinois Chicago","ror":"https://ror.org/02mpq6x41","country_code":"US","type":"education","lineage":["https://openalex.org/I39422238"]},{"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":"Theja Tulabandhula","raw_affiliation_strings":["University of Illinois,Department of Information and Decision Sciences,Chicago,IL,USA,60607"],"affiliations":[{"raw_affiliation_string":"University of Illinois,Department of Information and Decision Sciences,Chicago,IL,USA,60607","institution_ids":["https://openalex.org/I4210133369","https://openalex.org/I39422238","https://openalex.org/I157725225"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028132107","display_name":"Amit Ranjan Trivedi","orcid":"https://orcid.org/0000-0001-5436-7922"},"institutions":[{"id":"https://openalex.org/I39422238","display_name":"University of Illinois Chicago","ror":"https://ror.org/02mpq6x41","country_code":"US","type":"education","lineage":["https://openalex.org/I39422238"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Amit R. Trivedi","raw_affiliation_strings":["University of Illinois,Department of Electrical and Computer Engineering,Chicago,IL,USA,60607"],"affiliations":[{"raw_affiliation_string":"University of Illinois,Department of Electrical and Computer Engineering,Chicago,IL,USA,60607","institution_ids":["https://openalex.org/I39422238"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5087116179"],"corresponding_institution_ids":["https://openalex.org/I39422238"],"apc_list":null,"apc_paid":null,"fwci":2.7035,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.91130661,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9994999766349792,"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":0.9994999766349792,"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":0.9983000159263611,"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/T10917","display_name":"Smart Grid Security and Resilience","score":0.9923999905586243,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/regret","display_name":"Regret","score":0.8039959669113159},{"id":"https://openalex.org/keywords/trustworthiness","display_name":"Trustworthiness","score":0.6595017313957214},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.6017601490020752},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5894601941108704},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.566646933555603},{"id":"https://openalex.org/keywords/autonomy","display_name":"Autonomy","score":0.4942472279071808},{"id":"https://openalex.org/keywords/anomaly","display_name":"Anomaly (physics)","score":0.47029873728752136},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3966345191001892},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3740915358066559},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.27849072217941284},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.17567238211631775},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.056163668632507324},{"id":"https://openalex.org/keywords/political-science","display_name":"Political science","score":0.05244123935699463}],"concepts":[{"id":"https://openalex.org/C50817715","wikidata":"https://www.wikidata.org/wiki/Q79895177","display_name":"Regret","level":2,"score":0.8039959669113159},{"id":"https://openalex.org/C153701036","wikidata":"https://www.wikidata.org/wiki/Q659974","display_name":"Trustworthiness","level":2,"score":0.6595017313957214},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.6017601490020752},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5894601941108704},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.566646933555603},{"id":"https://openalex.org/C65414064","wikidata":"https://www.wikidata.org/wiki/Q484105","display_name":"Autonomy","level":2,"score":0.4942472279071808},{"id":"https://openalex.org/C12997251","wikidata":"https://www.wikidata.org/wiki/Q567560","display_name":"Anomaly (physics)","level":2,"score":0.47029873728752136},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3966345191001892},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3740915358066559},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.27849072217941284},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.17567238211631775},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.056163668632507324},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.05244123935699463},{"id":"https://openalex.org/C26873012","wikidata":"https://www.wikidata.org/wiki/Q214781","display_name":"Condensed matter physics","level":1,"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/ijcnn60899.2024.10650213","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn60899.2024.10650213","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Climate action","id":"https://metadata.un.org/sdg/13","score":0.6200000047683716}],"awards":[],"funders":[{"id":"https://openalex.org/F4320306087","display_name":"Semiconductor Research Corporation","ror":"https://ror.org/047z4n946"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W2029463628","https://openalex.org/W2116961669","https://openalex.org/W2125896931","https://openalex.org/W2410733619","https://openalex.org/W2531327146","https://openalex.org/W2565104410","https://openalex.org/W2586338891","https://openalex.org/W2753738274","https://openalex.org/W2772692493","https://openalex.org/W2867167548","https://openalex.org/W2897141862","https://openalex.org/W2925745050","https://openalex.org/W2945263848","https://openalex.org/W2962888833","https://openalex.org/W2970946347","https://openalex.org/W2971197296","https://openalex.org/W2976969310","https://openalex.org/W2996156127","https://openalex.org/W3009328596","https://openalex.org/W3083021344","https://openalex.org/W3177165561","https://openalex.org/W3194885736","https://openalex.org/W4232263905","https://openalex.org/W4234552385","https://openalex.org/W4288103143","https://openalex.org/W4306179591","https://openalex.org/W4313293021","https://openalex.org/W4363647318","https://openalex.org/W4390873140","https://openalex.org/W6714879114","https://openalex.org/W6728622933","https://openalex.org/W6744627333","https://openalex.org/W6752760542","https://openalex.org/W6762924995","https://openalex.org/W6763422710","https://openalex.org/W6767666165","https://openalex.org/W6774683452"],"related_works":["https://openalex.org/W2806741695","https://openalex.org/W4290647774","https://openalex.org/W3189286258","https://openalex.org/W3207797160","https://openalex.org/W3210364259","https://openalex.org/W4300558037","https://openalex.org/W2912112202","https://openalex.org/W2667207928","https://openalex.org/W4377864969","https://openalex.org/W2972971679"],"abstract_inverted_index":{"Complex":[0],"sensors":[1,24,50],"such":[2,192],"as":[3,193],"LiDAR,":[4],"RADAR,":[5],"and":[6,17,88,147,177,196,205],"event":[7],"cameras":[8],"have":[9],"proliferated":[10],"in":[11,72,170,175,187],"autonomous":[12],"robotics":[13],"to":[14,28,65,67,93,128],"enhance":[15],"perception":[16],"understanding":[18],"of":[19,45,54,111,118,121,151,168],"the":[20,42,52,73,109,119,126,158,166,182],"environment.":[21,39],"Meanwhile,":[22],"these":[23,78],"are":[25],"also":[26],"vulnerable":[27],"diverse":[29,199],"failure":[30],"mechanisms":[31],"that":[32,98,210],"can":[33],"intricately":[34],"interact":[35],"with":[36,132,143],"their":[37,55,61],"operational":[38],"In":[40,180,198],"parallel,":[41],"limited":[43],"availability":[44],"training":[46,74],"data":[47],"on":[48],"complex":[49],"affects":[51],"reliability":[53,79],"deep":[56],"learning-based":[57],"prediction":[58,62,213],"flow,":[59],"when":[60],"models":[63,153],"fail":[64],"generalize":[66],"environments":[68],"not":[69],"adequately":[70],"captured":[71],"set.":[75],"To":[76],"address":[77],"concerns,":[80],"this":[81],"paper":[82],"introduces":[83],"STARNet,":[84],"a":[85,135,148],"Sensor":[86],"Trustworthiness":[87],"Anomaly":[89],"Recognition":[90],"Network":[91],"designed":[92],"detect":[94],"untrustworthy":[95,172,221],"sensor":[96,102,122,173,190,206,222],"streams":[97,174],"may":[99],"arise":[100],"from":[101],"malfunctions":[103],"and/or":[104],"challenging":[105],"environments.":[106],"STARNet":[107,169,211,224],"employs":[108],"concept":[110],"likelihood":[112],"regret":[113],"(LR)":[114],"for":[115,140,154],"continuous":[116],"evaluation":[117],"trustworthiness":[120],"streams.":[123,223],"We":[124],"tailor":[125],"framework":[127,137],"resource-constrained":[129],"edge":[130],"devices":[131],"two":[133],"settings:":[134],"gradient-free":[136],"suit-":[138],"able":[139],"low-complexity":[141],"hardware":[142],"fixed-point":[144],"precision":[145],"capabilities,":[146],"low-rank":[149],"tunability":[150],"underlying":[152],"LR":[155],"extraction,":[156],"reducing":[157],"extraction":[159],"workload.":[160],"Through":[161],"extensive":[162],"simulations,":[163],"we":[164,208],"demonstrate":[165],"efficacy":[167],"detecting":[171],"unimodal":[176],"multimodal":[178],"settings.":[179],"particular,":[181],"network":[183],"shows":[184],"superior":[185],"performance":[186],"addressing":[188],"internal":[189],"failures,":[191],"cross-sensor":[194],"interference":[195],"crosstalk.":[197],"test":[200],"scenarios":[201],"involving":[202],"adverse":[203],"weather":[204],"malfunctions,":[207],"show":[209],"enhances":[212],"accuracy":[214],"by":[215,218],"approximately":[216],"15%":[217],"filtering":[219],"out":[220],"is":[225],"publicly":[226],"available":[227],"at":[228],"https://github.com/nstrndrbi/STARNet.":[229]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":2}],"updated_date":"2025-12-21T23:12:01.093139","created_date":"2025-10-10T00:00:00"}
