{"id":"https://openalex.org/W4392389663","doi":"https://doi.org/10.1109/isgt59692.2024.10454151","title":"Feature Collusion Attack on PMU Data-driven Event Classification","display_name":"Feature Collusion Attack on PMU Data-driven Event Classification","publication_year":2024,"publication_date":"2024-02-19","ids":{"openalex":"https://openalex.org/W4392389663","doi":"https://doi.org/10.1109/isgt59692.2024.10454151"},"language":"en","primary_location":{"id":"doi:10.1109/isgt59692.2024.10454151","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isgt59692.2024.10454151","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE Power &amp; Energy Society Innovative Smart Grid Technologies Conference (ISGT)","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/A5030959416","display_name":"Amir Ghasemkhani","orcid":"https://orcid.org/0000-0003-0084-7722"},"institutions":[{"id":"https://openalex.org/I59897056","display_name":"California State University, Long Beach","ror":"https://ror.org/0080fxk18","country_code":"US","type":"education","lineage":["https://openalex.org/I59897056"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Amir Ghasemkhani","raw_affiliation_strings":["California State University Long Beach,Department of Computer Engineering and Computer Science,Long Beach,USA","Department of Computer Engineering and Computer Science, California State University Long Beach, Long Beach, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"California State University Long Beach,Department of Computer Engineering and Computer Science,Long Beach,USA","institution_ids":["https://openalex.org/I59897056"]},{"raw_affiliation_string":"Department of Computer Engineering and Computer Science, California State University Long Beach, Long Beach, USA","institution_ids":["https://openalex.org/I59897056"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5094051856","display_name":"Rutuja Sanjeev Haridas","orcid":null},"institutions":[{"id":"https://openalex.org/I43369023","display_name":"California State University, San Bernardino","ror":"https://ror.org/02n651896","country_code":"US","type":"education","lineage":["https://openalex.org/I43369023"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Rutuja Sanjeev Haridas","raw_affiliation_strings":["California State University San Bernardino,School of Computer Science and Engineering,San Bernardino,USA","School of Computer Science and Engineering, California State University San Bernardino, San Bernardino, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"California State University San Bernardino,School of Computer Science and Engineering,San Bernardino,USA","institution_ids":["https://openalex.org/I43369023"]},{"raw_affiliation_string":"School of Computer Science and Engineering, California State University San Bernardino, San Bernardino, USA","institution_ids":["https://openalex.org/I43369023"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5092933348","display_name":"Seyed Mahmoud Sajjadi Mohammadabadi","orcid":"https://orcid.org/0009-0001-9342-0607"},"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":"Seyed Mahmoud Sajjadi Mohammadabadi","raw_affiliation_strings":["University of Nevada Reno,Department of Computer Science and Engineering,Reno,USA","Department of Computer Science and Engineering, University of Nevada Reno, Reno, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Nevada Reno,Department of Computer Science and Engineering,Reno,USA","institution_ids":["https://openalex.org/I134113660"]},{"raw_affiliation_string":"Department of Computer Science and Engineering, University of Nevada Reno, Reno, USA","institution_ids":["https://openalex.org/I134113660"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5072565301","display_name":"Lei Yang","orcid":"https://orcid.org/0000-0002-5176-003X"},"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":"Lei Yang","raw_affiliation_strings":["University of Nevada Reno,Department of Computer Science and Engineering,Reno,USA","Department of Computer Science and Engineering, University of Nevada Reno, Reno, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Nevada Reno,Department of Computer Science and Engineering,Reno,USA","institution_ids":["https://openalex.org/I134113660"]},{"raw_affiliation_string":"Department of Computer Science and Engineering, University of Nevada Reno, Reno, USA","institution_ids":["https://openalex.org/I134113660"]}]}],"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":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9351000189781189,"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":0.9351000189781189,"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/collusion","display_name":"Collusion","score":0.7943676710128784},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.740556001663208},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6050153374671936},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.5334475636482239},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.46103644371032715},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.3624533712863922},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3458186388015747},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.34171849489212036},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.33047521114349365},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.05637019872665405}],"concepts":[{"id":"https://openalex.org/C2781198186","wikidata":"https://www.wikidata.org/wiki/Q701521","display_name":"Collusion","level":2,"score":0.7943676710128784},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.740556001663208},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6050153374671936},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.5334475636482239},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.46103644371032715},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.3624533712863922},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3458186388015747},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.34171849489212036},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33047521114349365},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.05637019872665405},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"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/C40700","wikidata":"https://www.wikidata.org/wiki/Q1411783","display_name":"Industrial organization","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isgt59692.2024.10454151","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isgt59692.2024.10454151","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE Power &amp; Energy Society Innovative Smart Grid Technologies Conference (ISGT)","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":25,"referenced_works":["https://openalex.org/W1871489475","https://openalex.org/W2230317998","https://openalex.org/W2238926525","https://openalex.org/W2345283418","https://openalex.org/W2477566801","https://openalex.org/W2748789698","https://openalex.org/W2905681897","https://openalex.org/W2916360674","https://openalex.org/W2983044655","https://openalex.org/W3009542902","https://openalex.org/W3094947020","https://openalex.org/W3135872604","https://openalex.org/W3145449325","https://openalex.org/W3160006962","https://openalex.org/W3161424408","https://openalex.org/W3205797479","https://openalex.org/W4298140072","https://openalex.org/W4312993706","https://openalex.org/W4315695020","https://openalex.org/W6639321117","https://openalex.org/W6743581629","https://openalex.org/W6750462152","https://openalex.org/W6752654261","https://openalex.org/W6759622168","https://openalex.org/W6774469542"],"related_works":["https://openalex.org/W2009938035","https://openalex.org/W3143020802","https://openalex.org/W1491837399","https://openalex.org/W3122232980","https://openalex.org/W2272761499","https://openalex.org/W2363272970","https://openalex.org/W2120306875","https://openalex.org/W1699588379","https://openalex.org/W3143060468","https://openalex.org/W2272689892"],"abstract_inverted_index":{"Event":[0],"classification":[1,18,34,50,61,81,107,129,162],"is":[2],"a":[3,74,88,139],"critical":[4],"task":[5],"to":[6,38,77],"ensure":[7],"the":[8,11,31,48,57,60,79,103,106,124,128,150,157],"reliability":[9],"of":[10,41,59,105,127,159],"power":[12],"system.":[13],"Recent":[14],"developments":[15],"in":[16,84,121,138],"event":[17,33,49,161],"methods":[19,35],"leverage":[20],"data-driven":[21],"techniques":[22],"with":[23,117],"fine-grained":[24],"Phasor":[25],"Measurement":[26],"Units":[27],"(PMU)":[28],"data.":[29,69],"However,":[30],"existing":[32],"are":[36],"vulnerable":[37],"different":[39],"types":[40],"adversarial":[42],"attacks":[43,66],"that":[44,113,143],"can":[45,154],"significantly":[46,155],"degrade":[47,156],"performance.":[51],"In":[52],"this":[53,99],"paper,":[54],"we":[55],"evaluate":[56],"vulnerability":[58],"models":[62,108],"against":[63],"feature":[64],"collision":[65],"on":[67,134],"PMU":[68,136],"Feature":[70],"collusion":[71],"attack":[72,90,100],"leverages":[73],"surrogate":[75],"model":[76,82,151],"learn":[78],"victim\u2019s":[80],"which":[83,120],"turn":[85,122],"makes":[86],"it":[87],"plausible":[89],"strategy":[91,101],"for":[92],"both":[93],"black-box":[94,140],"and":[95,145],"white-box":[96],"settings.":[97],"Specifically,":[98],"undermines":[102],"accuracy":[104,158],"by":[109],"crafting":[110],"poisonous":[111,147],"samples":[112,119,148],"share":[114],"common":[115],"features":[116],"benign":[118],"changes":[123],"decision":[125],"boundaries":[126],"models.":[130],"The":[131],"experimental":[132],"results":[133],"real-world":[135],"data":[137],"setting":[141],"show":[142],"generating":[144],"adding":[146],"into":[149],"training":[152],"dataset":[153],"current":[160],"methods.":[163]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
