{"id":"https://openalex.org/W4402262278","doi":"https://doi.org/10.23919/acc60939.2024.10644755","title":"Poisoning Actuation Attacks Against the Learning of an Optimal Controller","display_name":"Poisoning Actuation Attacks Against the Learning of an Optimal Controller","publication_year":2024,"publication_date":"2024-07-10","ids":{"openalex":"https://openalex.org/W4402262278","doi":"https://doi.org/10.23919/acc60939.2024.10644755"},"language":"en","primary_location":{"id":"doi:10.23919/acc60939.2024.10644755","is_oa":false,"landing_page_url":"http://dx.doi.org/10.23919/acc60939.2024.10644755","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 American Control Conference (ACC)","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/A5068923749","display_name":"Filippos Fotiadis","orcid":"https://orcid.org/0000-0002-9239-3387"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Filippos Fotiadis","raw_affiliation_strings":["Daniel Guggenheim School of Aerospace Engineering, Georgia Institute of Technology,Atlanta,GA,USA,30332"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Daniel Guggenheim School of Aerospace Engineering, Georgia Institute of Technology,Atlanta,GA,USA,30332","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058970736","display_name":"Aris Kanellopoulos","orcid":"https://orcid.org/0000-0001-5983-0875"},"institutions":[{"id":"https://openalex.org/I86987016","display_name":"KTH Royal Institute of Technology","ror":"https://ror.org/026vcq606","country_code":"SE","type":"education","lineage":["https://openalex.org/I86987016"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Aris Kanellopoulos","raw_affiliation_strings":["School of Electrical Engineering and Computer Science, KTH Royal Institute of Technology,Division of Information Science and Engineering,Stockholm,Sweden,10044"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering and Computer Science, KTH Royal Institute of Technology,Division of Information Science and Engineering,Stockholm,Sweden,10044","institution_ids":["https://openalex.org/I86987016"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040301558","display_name":"Kyriakos G. Vamvoudakis","orcid":"https://orcid.org/0000-0003-1978-4848"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kyriakos G. Vamvoudakis","raw_affiliation_strings":["Daniel Guggenheim School of Aerospace Engineering, Georgia Institute of Technology,Atlanta,GA,USA,30332"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Daniel Guggenheim School of Aerospace Engineering, Georgia Institute of Technology,Atlanta,GA,USA,30332","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003255921","display_name":"J\u00e9r\u00f4me Hugues","orcid":"https://orcid.org/0000-0003-0148-7175"},"institutions":[{"id":"https://openalex.org/I114772536","display_name":"Software Engineering Institute","ror":"https://ror.org/01xqjjn94","country_code":"US","type":"facility","lineage":["https://openalex.org/I114772536","https://openalex.org/I74973139"]},{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"J\u00e9r\u00f4me Hugues","raw_affiliation_strings":["Carnegie Mellon University/Software Engineering Institute,Pittsburgh,PA,USA,15213"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University/Software Engineering Institute,Pittsburgh,PA,USA,15213","institution_ids":["https://openalex.org/I114772536","https://openalex.org/I74973139"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.5557,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.71598612,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"4838","last_page":"4843"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9962000250816345,"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":0.9962000250816345,"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":0.9922000169754028,"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/T12122","display_name":"Physical Unclonable Functions (PUFs) and Hardware Security","score":0.9781000018119812,"subfield":{"id":"https://openalex.org/subfields/1708","display_name":"Hardware and Architecture"},"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/computer-science","display_name":"Computer science","score":0.5880331993103027},{"id":"https://openalex.org/keywords/controller","display_name":"Controller (irrigation)","score":0.5439647436141968},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.411062628030777},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.39893412590026855},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2798108160495758},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.25749659538269043}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5880331993103027},{"id":"https://openalex.org/C203479927","wikidata":"https://www.wikidata.org/wiki/Q5165939","display_name":"Controller (irrigation)","level":2,"score":0.5439647436141968},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.411062628030777},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.39893412590026855},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2798108160495758},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.25749659538269043},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/acc60939.2024.10644755","is_oa":false,"landing_page_url":"http://dx.doi.org/10.23919/acc60939.2024.10644755","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 American Control Conference (ACC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1615963391","display_name":null,"funder_award_id":"F ZQ 064- 1/2020 - 2021","funder_id":"https://openalex.org/F4320323220","funder_display_name":"Alexander S. Onassis Public Benefit Foundation"},{"id":"https://openalex.org/G2144278397","display_name":null,"funder_award_id":"FA8702-15-D-0002","funder_id":"https://openalex.org/F4320306078","funder_display_name":"U.S. Department of Defense"},{"id":"https://openalex.org/G298983741","display_name":null,"funder_award_id":"W911NF-19 -1-0270","funder_id":"https://openalex.org/F4320338281","funder_display_name":"Army Research Office"},{"id":"https://openalex.org/G4265967193","display_name":null,"funder_award_id":"N00014-18-1-2160","funder_id":"https://openalex.org/F4320337345","funder_display_name":"Office of Naval Research"},{"id":"https://openalex.org/G985234334","display_name":null,"funder_award_id":"CAREER CPS-1851588,S&AS 1849198","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"},{"id":"https://openalex.org/F4320306078","display_name":"U.S. Department of Defense","ror":"https://ror.org/0447fe631"},{"id":"https://openalex.org/F4320323220","display_name":"Alexander S. Onassis Public Benefit Foundation","ror":"https://ror.org/017nq0d63"},{"id":"https://openalex.org/F4320337345","display_name":"Office of Naval Research","ror":"https://ror.org/00rk2pe57"},{"id":"https://openalex.org/F4320338281","display_name":"Army Research Office","ror":"https://ror.org/05epdh915"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W2012173880","https://openalex.org/W2037031363","https://openalex.org/W2074548145","https://openalex.org/W2090963365","https://openalex.org/W2112507308","https://openalex.org/W2142758015","https://openalex.org/W2157078218","https://openalex.org/W2518642658","https://openalex.org/W2550453031","https://openalex.org/W2774423163","https://openalex.org/W2782931211","https://openalex.org/W2885456264","https://openalex.org/W2921750014","https://openalex.org/W2962763344","https://openalex.org/W2964043980","https://openalex.org/W2973136994","https://openalex.org/W3092252985","https://openalex.org/W3095509234","https://openalex.org/W3170436376","https://openalex.org/W3183719284","https://openalex.org/W3184105563","https://openalex.org/W4210529620","https://openalex.org/W4240790602","https://openalex.org/W4289535738","https://openalex.org/W4298140072","https://openalex.org/W4315488941","https://openalex.org/W4321016079","https://openalex.org/W4324292613","https://openalex.org/W4391038780","https://openalex.org/W6676935882","https://openalex.org/W6746897123","https://openalex.org/W6750462152","https://openalex.org/W6784833035"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052","https://openalex.org/W4402327032","https://openalex.org/W2382290278"],"abstract_inverted_index":{"In":[0],"this":[1,83,127],"paper,":[2],"we":[3,143],"study":[4],"the":[5,9,35,64,78,91,95,99,110,119,135,146,163,170,178],"problem":[6],"of":[7,11,17,37,137],"poisoning":[8,128,164],"learning":[10,79,173],"an":[12,18,49,58,74,155,174],"optimal":[13,50,121],"controller":[14],"by":[15,57,94],"means":[16],"actuation":[19,75,84,129],"attack.":[20],"We":[21,81,124],"specifically":[22],"consider":[23],"a":[24,31,107],"user":[25,100,171],"who":[26,43,60,68],"is":[27,69,116,166],"gathering":[28],"data":[29,46,92],"from":[30],"linear":[32],"system":[33],"in":[34,168],"form":[36],"input":[38],"and":[39,42,67,114],"state":[40],"measurements,":[41],"uses":[44],"these":[45,53],"to":[47,63,72,101,118,134],"learn":[48,102],"controller.":[51],"Nevertheless,":[52],"measurements":[54],"are":[55],"corrupted":[56],"attacker":[59,111],"has":[61,112],"access":[62],"system's":[65],"actuators,":[66],"using":[70,145],"them":[71],"launch":[73],"attack":[76,85,130,165],"during":[77],"process.":[80],"design":[82,131],"so":[86],"that":[87,109,126],"it":[88,97],"optimally":[89],"corrupts":[90],"used":[93],"user:":[96],"forces":[98],"as":[103,105],"closely":[104],"possible":[106],"gain":[108,176],"selected,":[113],"which":[115,142],"unrelated":[117],"actual":[120],"control":[122],"gain.":[123],"prove":[125],"boils":[132],"down":[133],"solution":[136],"certain":[138],"coupled":[139],"matrix":[140],"equations,":[141],"solve":[144],"block":[147],"successive":[148],"over-relaxation":[149],"(SOR)":[150],"iterative":[151],"procedure.":[152],"Simulations":[153],"on":[154],"aircraft":[156],"model":[157],"demonstrate":[158],"theoretical":[159],"findings,":[160],"showing":[161],"how":[162],"effective":[167],"misleading":[169],"towards":[172],"incorrect":[175],"for":[177],"system.":[179]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2025-12-23T23:11:35.936235","created_date":"2025-10-10T00:00:00"}
