{"id":"https://openalex.org/W2913397682","doi":"https://doi.org/10.1109/bigdata.2018.8621861","title":"Privacy-preserving linear regression for brain-computer interface applications","display_name":"Privacy-preserving linear regression for brain-computer interface applications","publication_year":2018,"publication_date":"2018-12-01","ids":{"openalex":"https://openalex.org/W2913397682","doi":"https://doi.org/10.1109/bigdata.2018.8621861","mag":"2913397682"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata.2018.8621861","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata.2018.8621861","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Big Data (Big Data)","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/A5025842983","display_name":"Anisha Agarwal","orcid":null},"institutions":[{"id":"https://openalex.org/I4210150356","display_name":"University of Washington Tacoma","ror":"https://ror.org/05n8t2628","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701","https://openalex.org/I4210150356"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Anisha Agarwal","raw_affiliation_strings":["School of Engineering and Technology, University of Washington, Tacoma, USA"],"affiliations":[{"raw_affiliation_string":"School of Engineering and Technology, University of Washington, Tacoma, USA","institution_ids":["https://openalex.org/I4210150356"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014034048","display_name":"Rafael Dowsley","orcid":"https://orcid.org/0000-0002-7588-2410"},"institutions":[{"id":"https://openalex.org/I204337017","display_name":"Aarhus University","ror":"https://ror.org/01aj84f44","country_code":"DK","type":"education","lineage":["https://openalex.org/I204337017"]}],"countries":["DK"],"is_corresponding":false,"raw_author_name":"Rafael Dowsley","raw_affiliation_strings":["Dept. of Computer Science, Aarhus University, Aarhus, Denmark"],"affiliations":[{"raw_affiliation_string":"Dept. of Computer Science, Aarhus University, Aarhus, Denmark","institution_ids":["https://openalex.org/I204337017"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018077911","display_name":"Nicholas D. McKinney","orcid":null},"institutions":[{"id":"https://openalex.org/I4210150356","display_name":"University of Washington Tacoma","ror":"https://ror.org/05n8t2628","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701","https://openalex.org/I4210150356"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nicholas D. McKinney","raw_affiliation_strings":["School of Engineering and Technology, University of Washington, Tacoma, USA"],"affiliations":[{"raw_affiliation_string":"School of Engineering and Technology, University of Washington, Tacoma, USA","institution_ids":["https://openalex.org/I4210150356"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008740867","display_name":"Dongrui Wu","orcid":"https://orcid.org/0000-0002-7153-9703"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dongrui Wu","raw_affiliation_strings":["School of Automation, Huazhong University of Science and Technology, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"School of Automation, Huazhong University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058936239","display_name":"Chin\u2010Teng Lin","orcid":"https://orcid.org/0000-0001-8371-8197"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Chin-Teng Lin","raw_affiliation_strings":["School of Software, University of Technology, Sydney, Australia"],"affiliations":[{"raw_affiliation_string":"School of Software, University of Technology, Sydney, Australia","institution_ids":["https://openalex.org/I114017466"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056749857","display_name":"Martine De Cock","orcid":"https://orcid.org/0000-0001-7917-0771"},"institutions":[{"id":"https://openalex.org/I32597200","display_name":"Ghent University","ror":"https://ror.org/00cv9y106","country_code":"BE","type":"education","lineage":["https://openalex.org/I32597200"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Martine De Cock","raw_affiliation_strings":["Dept. of Applied Math., Comp. Sc. and Statistics, Ghent University"],"affiliations":[{"raw_affiliation_string":"Dept. of Applied Math., Comp. Sc. and Statistics, Ghent University","institution_ids":["https://openalex.org/I32597200"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070505291","display_name":"Anderson C. A. Nascimento","orcid":"https://orcid.org/0000-0002-8298-6250"},"institutions":[{"id":"https://openalex.org/I4210150356","display_name":"University of Washington Tacoma","ror":"https://ror.org/05n8t2628","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701","https://openalex.org/I4210150356"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Anderson Nascimento","raw_affiliation_strings":["School of Engineering and Technology, University of Washington, Tacoma, USA"],"affiliations":[{"raw_affiliation_string":"School of Engineering and Technology, University of Washington, Tacoma, USA","institution_ids":["https://openalex.org/I4210150356"]}]}],"institutions":[],"countries_distinct_count":5,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5025842983"],"corresponding_institution_ids":["https://openalex.org/I4210150356"],"apc_list":null,"apc_paid":null,"fwci":0.4938,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.64105281,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"5277","last_page":"5278"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9980999827384949,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9980999827384949,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9930999875068665,"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/T11612","display_name":"Stochastic Gradient Optimization Techniques","score":0.992900013923645,"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/computer-science","display_name":"Computer science","score":0.8114616274833679},{"id":"https://openalex.org/keywords/brain\u2013computer-interface","display_name":"Brain\u2013computer interface","score":0.7849417328834534},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.6081400513648987},{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.5842825174331665},{"id":"https://openalex.org/keywords/interface","display_name":"Interface (matter)","score":0.5691028237342834},{"id":"https://openalex.org/keywords/password","display_name":"Password","score":0.5406927466392517},{"id":"https://openalex.org/keywords/scope","display_name":"Scope (computer science)","score":0.49655967950820923},{"id":"https://openalex.org/keywords/software","display_name":"Software","score":0.4713173508644104},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.4327983558177948},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4257707893848419},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3918140232563019},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.29519206285476685},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.0886533260345459},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.08514684438705444}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8114616274833679},{"id":"https://openalex.org/C173201364","wikidata":"https://www.wikidata.org/wiki/Q897410","display_name":"Brain\u2013computer interface","level":3,"score":0.7849417328834534},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6081400513648987},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.5842825174331665},{"id":"https://openalex.org/C113843644","wikidata":"https://www.wikidata.org/wiki/Q901882","display_name":"Interface (matter)","level":4,"score":0.5691028237342834},{"id":"https://openalex.org/C109297577","wikidata":"https://www.wikidata.org/wiki/Q161157","display_name":"Password","level":2,"score":0.5406927466392517},{"id":"https://openalex.org/C2778012447","wikidata":"https://www.wikidata.org/wiki/Q1034415","display_name":"Scope (computer science)","level":2,"score":0.49655967950820923},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.4713173508644104},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.4327983558177948},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4257707893848419},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3918140232563019},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.29519206285476685},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0886533260345459},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.08514684438705444},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.0},{"id":"https://openalex.org/C157915830","wikidata":"https://www.wikidata.org/wiki/Q2928001","display_name":"Bubble","level":2,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C129307140","wikidata":"https://www.wikidata.org/wiki/Q6795880","display_name":"Maximum bubble pressure method","level":3,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/bigdata.2018.8621861","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata.2018.8621861","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Big Data (Big Data)","raw_type":"proceedings-article"},{"id":"pmh:oai:pure.atira.dk:publications/ac9129b6-46dd-44aa-aa7d-9de1c84aa5eb","is_oa":false,"landing_page_url":"http://www.scopus.com/inward/record.url?scp=85062613786&partnerID=8YFLogxK","pdf_url":null,"source":{"id":"https://openalex.org/S4306400063","display_name":"Scopus (Elsevier)","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":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Agarwal, A, Dowsley, R, McKinney, N D, Wu, D, Lin, C T, Cock, M D & Nascimento, A 2019, Privacy-Preserving Linear Regression for Brain-Computer Interface Applications. in Y Song, B Liu, K Lee, N Abe, C Pu, M Qiao, N Ahmed, D Kossmann, J Saltz, J Tang, J He, H Liu & X Hu (eds), Proceedings - 2018 IEEE International Conference on Big Data, Big Data 2018., 8621861, IEEE, pp. 5277-5278, 2018 IEEE International Conference on Big Data, Big Data 2018, Seattle, United States, 10/12/2018. https://doi.org/10.1109/BigData.2018.8621861","raw_type":"info:eu-repo/semantics/publishedVersion"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W184146824","https://openalex.org/W1485800369","https://openalex.org/W1508764330","https://openalex.org/W1522493063","https://openalex.org/W1984680759","https://openalex.org/W2045597647","https://openalex.org/W2157567080","https://openalex.org/W2397857137","https://openalex.org/W2559042111","https://openalex.org/W2783983539","https://openalex.org/W4298110978","https://openalex.org/W6628945002","https://openalex.org/W6630470381","https://openalex.org/W6631356492","https://openalex.org/W6683470265"],"related_works":["https://openalex.org/W3202969339","https://openalex.org/W4237513258","https://openalex.org/W2044053727","https://openalex.org/W4411653333","https://openalex.org/W1994410349","https://openalex.org/W3177028067","https://openalex.org/W1913385466","https://openalex.org/W2914170859","https://openalex.org/W2889342546","https://openalex.org/W2015048155"],"abstract_inverted_index":{"Many":[0],"machine":[1],"learning":[2],"(ML)":[3],"applications":[4,57],"rely":[5],"on":[6],"large":[7],"amounts":[8],"of":[9,29,46,50,104],"personal":[10,86],"data":[11,21,99],"for":[12],"training":[13],"and":[14,37,84],"inference.":[15],"Among":[16],"the":[17,44,73,102],"most":[18],"intimate":[19],"exploited":[20],"sources":[22],"is":[23,42,90],"electroencephalogram":[24],"(EEG)":[25],"data.":[26,87],"The":[27,53,88],"emergence":[28],"consumer":[30],"-grade,":[31],"low-cost":[32],"brain":[33],"-computer":[34],"interfaces":[35],"(BCIs)":[36],"corresponding":[38],"software":[39],"development":[40],"kits'":[41],"bringing":[43],"use":[45],"BCI":[47,56],"within":[48],"reach":[49],"application":[51],"developers.":[52],"access":[54],"that":[55],"have":[58],"to":[59,92],"neural":[60],"signals":[61],"rightly":[62],"raises":[63],"privacy":[64,103],"concerns.":[65],"Application":[66],"developers":[67],"can":[68],"easily":[69],"gain":[70],"knowledge":[71],"beyond":[72],"professed":[74],"scope":[75],"from":[76],"unprotected":[77],"EEG":[78,98],"signals,":[79],"including":[80],"passwords,":[81],"ATM":[82],"PINs,":[83],"other":[85],"challenge":[89],"how":[91],"engage":[93],"in":[94],"meaningful":[95],"ML":[96],"with":[97],"while":[100],"protecting":[101],"users.":[105]},"counts_by_year":[{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}