{"id":"https://openalex.org/W4404036604","doi":"https://doi.org/10.1109/smartgridcomm60555.2024.10738112","title":"An Adversarial Approach to Evaluating the Robustness of Event Identification Models","display_name":"An Adversarial Approach to Evaluating the Robustness of Event Identification Models","publication_year":2024,"publication_date":"2024-09-17","ids":{"openalex":"https://openalex.org/W4404036604","doi":"https://doi.org/10.1109/smartgridcomm60555.2024.10738112"},"language":"en","primary_location":{"id":"doi:10.1109/smartgridcomm60555.2024.10738112","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/smartgridcomm60555.2024.10738112","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm)","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/A5093967978","display_name":"Obai Bahwal","orcid":null},"institutions":[{"id":"https://openalex.org/I55732556","display_name":"Arizona State University","ror":"https://ror.org/03efmqc40","country_code":"US","type":"education","lineage":["https://openalex.org/I55732556"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Obai Bahwal","raw_affiliation_strings":["Arizona State University,School of Electrical, Computer, and Energy Engineering,Tempe,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Arizona State University,School of Electrical, Computer, and Energy Engineering,Tempe,USA","institution_ids":["https://openalex.org/I55732556"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055511546","display_name":"Oliver Kosut","orcid":"https://orcid.org/0000-0003-4779-0102"},"institutions":[{"id":"https://openalex.org/I55732556","display_name":"Arizona State University","ror":"https://ror.org/03efmqc40","country_code":"US","type":"education","lineage":["https://openalex.org/I55732556"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Oliver Kosut","raw_affiliation_strings":["Arizona State University,School of Electrical, Computer, and Energy Engineering,Tempe,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Arizona State University,School of Electrical, Computer, and Energy Engineering,Tempe,USA","institution_ids":["https://openalex.org/I55732556"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065366998","display_name":"Lalitha Sankar","orcid":"https://orcid.org/0000-0001-8122-5444"},"institutions":[{"id":"https://openalex.org/I55732556","display_name":"Arizona State University","ror":"https://ror.org/03efmqc40","country_code":"US","type":"education","lineage":["https://openalex.org/I55732556"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lalitha Sankar","raw_affiliation_strings":["Arizona State University,School of Electrical, Computer, and Energy Engineering,Tempe,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Arizona State University,School of Electrical, Computer, and Energy Engineering,Tempe,USA","institution_ids":["https://openalex.org/I55732556"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I55732556"],"apc_list":null,"apc_paid":null,"fwci":0.2986,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.65968251,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"327","last_page":"332"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9940000176429749,"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"}},"topics":[{"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":0.9326000213623047,"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/robustness","display_name":"Robustness (evolution)","score":0.76629638671875},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.7626842260360718},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7107865214347839},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.52657550573349},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.42956840991973877},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.4165307879447937},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.33792775869369507}],"concepts":[{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.76629638671875},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.7626842260360718},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7107865214347839},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.52657550573349},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.42956840991973877},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.4165307879447937},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.33792775869369507},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"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/smartgridcomm60555.2024.10738112","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/smartgridcomm60555.2024.10738112","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1678356000","https://openalex.org/W2053091924","https://openalex.org/W2064111006","https://openalex.org/W2118242965","https://openalex.org/W2472098064","https://openalex.org/W2556307742","https://openalex.org/W2965772243","https://openalex.org/W3020927716","https://openalex.org/W3045002271","https://openalex.org/W4205573257","https://openalex.org/W4313170925","https://openalex.org/W4315695020"],"related_works":["https://openalex.org/W2502115930","https://openalex.org/W2482350142","https://openalex.org/W4246396837","https://openalex.org/W3126451824","https://openalex.org/W1561927205","https://openalex.org/W3191453585","https://openalex.org/W4297672492","https://openalex.org/W4310988119","https://openalex.org/W4285226279","https://openalex.org/W4288019534"],"abstract_inverted_index":{"Intelligent":[0],"machine":[1,20],"learning":[2,21],"approaches":[3],"are":[4,76],"finding":[5],"active":[6],"use":[7],"for":[8,48],"event":[9,49],"detection":[10],"and":[11,51,59,70,107],"identification":[12],"that":[13,148],"allow":[14],"real-time":[15],"situational":[16],"awareness.":[17],"Yet,":[18],"such":[19,153],"algorithms":[22],"have":[23],"been":[24],"shown":[25],"to":[26,29,45,62,83,117,127,160],"be":[27],"susceptible":[28,159],"adversarial":[30,81,88,161],"attacks":[31,162],"on":[32,53,140],"the":[33,95,100,104,108,113,121,129,135,141],"incoming":[34],"telemetry":[35],"data.":[36],"This":[37],"paper":[38],"considers":[39],"a":[40,149],"physics-based":[41],"modal":[42],"decomposition":[43],"method":[44],"extract":[46],"features":[47],"classification":[50,105,136],"focuses":[52],"interpretable":[54],"classifiers":[55,75],"including":[56],"logistic":[57,155],"regression":[58,156],"gradient":[60,164],"boosting":[61],"distinguish":[63],"two":[64,93],"types":[65],"of":[66],"events:":[67],"load":[68],"loss":[69],"generation":[71],"loss.":[72],"The":[73,87],"resulting":[74],"then":[77],"tested":[78,91],"against":[79],"an":[80],"algorithm":[82],"evaluate":[84],"their":[85],"robustness.":[86],"attack":[89],"is":[90,157],"in":[92],"settings:":[94],"white":[96],"box":[97,110],"setting,":[98,111],"wherein":[99,112],"attacker":[101,114],"knows":[102],"exactly":[103],"model;":[106],"gray":[109],"has":[115],"access":[116],"historical":[118],"data":[119],"from":[120],"same":[122],"network":[123],"as":[124,154],"was":[125],"used":[126],"train":[128],"classifier,":[130],"but":[131],"does":[132],"not":[133],"know":[134],"model.":[137],"Thorough":[138],"experiments":[139],"synthetic":[142],"South":[143],"Carolina":[144],"500-bus":[145],"system":[146],"highlight":[147],"relatively":[150],"simpler":[151],"model":[152],"more":[158],"than":[163],"boosting.":[165]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}
