{"id":"https://openalex.org/W4210761723","doi":"https://doi.org/10.1109/cdc45484.2021.9683149","title":"Learning of Dynamical Systems under Adversarial Attacks","display_name":"Learning of Dynamical Systems under Adversarial Attacks","publication_year":2021,"publication_date":"2021-12-14","ids":{"openalex":"https://openalex.org/W4210761723","doi":"https://doi.org/10.1109/cdc45484.2021.9683149"},"language":"en","primary_location":{"id":"doi:10.1109/cdc45484.2021.9683149","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cdc45484.2021.9683149","pdf_url":null,"source":{"id":"https://openalex.org/S4363607724","display_name":"2021 60th IEEE Conference on Decision and Control (CDC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 60th IEEE Conference on Decision and Control (CDC)","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/A5083194913","display_name":"Feng Han","orcid":"https://orcid.org/0000-0003-2933-6205"},"institutions":[{"id":"https://openalex.org/I95457486","display_name":"University of California, Berkeley","ror":"https://ror.org/01an7q238","country_code":"US","type":"education","lineage":["https://openalex.org/I95457486"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Han Feng","raw_affiliation_strings":["University of California,Industrial Engineering and Operations Research,Berkeley","Industrial Engineering and Operations Research, University of California, Berkeley"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of California,Industrial Engineering and Operations Research,Berkeley","institution_ids":["https://openalex.org/I95457486"]},{"raw_affiliation_string":"Industrial Engineering and Operations Research, University of California, Berkeley","institution_ids":["https://openalex.org/I95457486"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5042580848","display_name":"Javad Lavaei","orcid":null},"institutions":[{"id":"https://openalex.org/I95457486","display_name":"University of California, Berkeley","ror":"https://ror.org/01an7q238","country_code":"US","type":"education","lineage":["https://openalex.org/I95457486"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Javad Lavaei","raw_affiliation_strings":["University of California,Industrial Engineering and Operations Research,Berkeley","Industrial Engineering and Operations Research, University of California, Berkeley"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of California,Industrial Engineering and Operations Research,Berkeley","institution_ids":["https://openalex.org/I95457486"]},{"raw_affiliation_string":"Industrial Engineering and Operations Research, University of California, Berkeley","institution_ids":["https://openalex.org/I95457486"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I95457486"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"3010","last_page":"3017"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.9997000098228455,"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"}},"topics":[{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.9997000098228455,"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"}},{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.993399977684021,"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":0.9925000071525574,"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/identifiability","display_name":"Identifiability","score":0.9341495633125305},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.6363956928253174},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.5715433359146118},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.569648802280426},{"id":"https://openalex.org/keywords/system-identification","display_name":"System identification","score":0.5682145953178406},{"id":"https://openalex.org/keywords/linear-dynamical-system","display_name":"Linear dynamical system","score":0.5251186490058899},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.49375995993614197},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.49285387992858887},{"id":"https://openalex.org/keywords/dynamical-systems-theory","display_name":"Dynamical systems theory","score":0.4869488477706909},{"id":"https://openalex.org/keywords/linear-system","display_name":"Linear system","score":0.45701152086257935},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.440823495388031},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.43090420961380005},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.36115044355392456},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2865551710128784},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.28362905979156494},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.18598124384880066},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.14356321096420288},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.14311492443084717}],"concepts":[{"id":"https://openalex.org/C122770356","wikidata":"https://www.wikidata.org/wiki/Q1656753","display_name":"Identifiability","level":2,"score":0.9341495633125305},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.6363956928253174},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.5715433359146118},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.569648802280426},{"id":"https://openalex.org/C119247159","wikidata":"https://www.wikidata.org/wiki/Q1366192","display_name":"System identification","level":3,"score":0.5682145953178406},{"id":"https://openalex.org/C114275822","wikidata":"https://www.wikidata.org/wiki/Q621512","display_name":"Linear dynamical system","level":3,"score":0.5251186490058899},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.49375995993614197},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.49285387992858887},{"id":"https://openalex.org/C79379906","wikidata":"https://www.wikidata.org/wiki/Q3174497","display_name":"Dynamical systems theory","level":2,"score":0.4869488477706909},{"id":"https://openalex.org/C6802819","wikidata":"https://www.wikidata.org/wiki/Q1072174","display_name":"Linear system","level":2,"score":0.45701152086257935},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.440823495388031},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.43090420961380005},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.36115044355392456},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2865551710128784},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.28362905979156494},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.18598124384880066},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.14356321096420288},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.14311492443084717},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cdc45484.2021.9683149","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cdc45484.2021.9683149","pdf_url":null,"source":{"id":"https://openalex.org/S4363607724","display_name":"2021 60th IEEE Conference on Decision and Control (CDC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 60th IEEE Conference on Decision and Control (CDC)","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":37,"referenced_works":["https://openalex.org/W1499908471","https://openalex.org/W1969515697","https://openalex.org/W2004064031","https://openalex.org/W2062132646","https://openalex.org/W2097581696","https://openalex.org/W2170581571","https://openalex.org/W2281174833","https://openalex.org/W2567876897","https://openalex.org/W2613551585","https://openalex.org/W2751645773","https://openalex.org/W2790483052","https://openalex.org/W2903088609","https://openalex.org/W2911536070","https://openalex.org/W2962741457","https://openalex.org/W2963525569","https://openalex.org/W2963681938","https://openalex.org/W2963772730","https://openalex.org/W2963888996","https://openalex.org/W2972458425","https://openalex.org/W2972915637","https://openalex.org/W2986088584","https://openalex.org/W3004623877","https://openalex.org/W3017335724","https://openalex.org/W3022632069","https://openalex.org/W3046561551","https://openalex.org/W3089959184","https://openalex.org/W3099560202","https://openalex.org/W3102836312","https://openalex.org/W3170966678","https://openalex.org/W4210761723","https://openalex.org/W4297686031","https://openalex.org/W6682388183","https://openalex.org/W6739088070","https://openalex.org/W6743806199","https://openalex.org/W6751694215","https://openalex.org/W6755725002","https://openalex.org/W6756955122"],"related_works":["https://openalex.org/W2317363952","https://openalex.org/W1541871911","https://openalex.org/W2050811761","https://openalex.org/W2230606337","https://openalex.org/W2119813522","https://openalex.org/W2368293801","https://openalex.org/W2573078457","https://openalex.org/W2505854718","https://openalex.org/W2076891884","https://openalex.org/W2044696633"],"abstract_inverted_index":{"We":[0,78,116],"study":[1,91,128],"the":[2,20,23,32,35,46,53,64,72,75,81,95,98,103,107,111,118,129,132],"identification":[3,108],"of":[4,34,66,74,97,113,121,131,138],"a":[5,40,58],"linear":[6],"time-invariant":[7],"dynamical":[8],"system":[9,36,99,104],"affected":[10],"by":[11,38],"large-and-sparse":[12],"disturbances":[13],"modeling":[14],"adversarial":[15,114],"attacks":[16],"or":[17,51],"faults.":[18],"Under":[19],"assumption":[21],"that":[22,68],"states":[24],"are":[25,87],"measurable,":[26],"we":[27,62],"develop":[28],"sufficient":[29],"conditions":[30],"for":[31],"recovery":[33],"matrices":[37],"solving":[39],"constrained":[41,133],"lasso-type":[42],"optimization":[43],"problem.":[44],"In":[45],"settings":[47],"without":[48],"control":[49],"input":[50,54,96],"when":[52,83],"is":[55,141],"sub-Gaussian":[56],"with":[57],"known":[59],"matrix":[60,76],"B,":[61],"characterize":[63],"type":[65],"disturbance":[67,123],"does":[69],"not":[70],"affect":[71],"estimation":[73],"A.":[77],"furthermore":[79],"analyze":[80],"case":[82],"A":[84],"and":[85,90,105,124],"B":[86],"estimated":[88],"simultaneously,":[89],"how":[92],"to":[93,100,127],"design":[94],"properly":[101],"excite":[102],"make":[106],"possible":[109],"in":[110,143],"presence":[112],"attacks.":[115],"introduced":[117],"key":[119],"notion":[120],"\u2206-spaced":[122],"element-wise":[125],"identifiability":[126],"success":[130],"lasso":[134],"estimator.":[135],"The":[136],"performance":[137],"our":[139],"estimator":[140],"demonstrated":[142],"numerical":[144],"experiments.":[145]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
