{"id":"https://openalex.org/W4385210677","doi":"https://doi.org/10.1145/3583133.3596337","title":"Towards Vertical Privacy-Preserving Symbolic Regression via Secure Multiparty Computation","display_name":"Towards Vertical Privacy-Preserving Symbolic Regression via Secure Multiparty Computation","publication_year":2023,"publication_date":"2023-07-15","ids":{"openalex":"https://openalex.org/W4385210677","doi":"https://doi.org/10.1145/3583133.3596337"},"language":"en","primary_location":{"id":"doi:10.1145/3583133.3596337","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3583133.3596337","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Companion Conference on Genetic and Evolutionary Computation","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/A5011141189","display_name":"Du Nguyen Duy","orcid":"https://orcid.org/0009-0000-3422-1918"},"institutions":[{"id":"https://openalex.org/I4210126338","display_name":"Software Competence Center Hagenberg (Austria)","ror":"https://ror.org/02ks3nr96","country_code":"AT","type":"company","lineage":["https://openalex.org/I4210126338"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Du Nguyen Duy","raw_affiliation_strings":["Data Science, Software Competence Center Hagenberg GmbH, Hagenberg, Austria"],"raw_orcid":"https://orcid.org/0009-0000-3422-1918","affiliations":[{"raw_affiliation_string":"Data Science, Software Competence Center Hagenberg GmbH, Hagenberg, Austria","institution_ids":["https://openalex.org/I4210126338"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013367027","display_name":"Michael Affenzeller","orcid":"https://orcid.org/0000-0001-5692-5940"},"institutions":[{"id":"https://openalex.org/I4210136249","display_name":"University of Applied Sciences Upper Austria","ror":"https://ror.org/03jqp6d56","country_code":"AT","type":"education","lineage":["https://openalex.org/I4210136249"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Michael Affenzeller","raw_affiliation_strings":["University of Applied Sciences Upper Austria, Hagenberg, Austria"],"raw_orcid":"https://orcid.org/0000-0001-5692-5940","affiliations":[{"raw_affiliation_string":"University of Applied Sciences Upper Austria, Hagenberg, Austria","institution_ids":["https://openalex.org/I4210136249"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5036971504","display_name":"Ramin Nikzad\u2010Langerodi","orcid":"https://orcid.org/0000-0003-3495-8949"},"institutions":[{"id":"https://openalex.org/I4210126338","display_name":"Software Competence Center Hagenberg (Austria)","ror":"https://ror.org/02ks3nr96","country_code":"AT","type":"company","lineage":["https://openalex.org/I4210126338"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Ramin Nikzad-Langerodi","raw_affiliation_strings":["Data Science, Software Competence Center Hagenberg GmbH, Hagenberg, Austria"],"raw_orcid":"https://orcid.org/0000-0003-3495-8949","affiliations":[{"raw_affiliation_string":"Data Science, Software Competence Center Hagenberg GmbH, Hagenberg, Austria","institution_ids":["https://openalex.org/I4210126338"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2420","last_page":"2428"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11612","display_name":"Stochastic Gradient Optimization Techniques","score":0.9977999925613403,"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/T11612","display_name":"Stochastic Gradient Optimization Techniques","score":0.9977999925613403,"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/T12002","display_name":"Computability, Logic, AI Algorithms","score":0.9970999956130981,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T12072","display_name":"Machine Learning and Algorithms","score":0.9962999820709229,"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":0.8051477670669556},{"id":"https://openalex.org/keywords/secure-multi-party-computation","display_name":"Secure multi-party computation","score":0.6882476806640625},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.6071082353591919},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.4216262698173523},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.3723806142807007},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.21257248520851135}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8051477670669556},{"id":"https://openalex.org/C18396474","wikidata":"https://www.wikidata.org/wiki/Q2465888","display_name":"Secure multi-party computation","level":3,"score":0.6882476806640625},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.6071082353591919},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4216262698173523},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.3723806142807007},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.21257248520851135}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3583133.3596337","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3583133.3596337","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Companion Conference on Genetic and Evolutionary Computation","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":16,"referenced_works":["https://openalex.org/W1524288918","https://openalex.org/W1969009977","https://openalex.org/W2061011797","https://openalex.org/W2293339990","https://openalex.org/W2417863416","https://openalex.org/W2701059868","https://openalex.org/W2903850320","https://openalex.org/W2944951172","https://openalex.org/W2963752132","https://openalex.org/W2995191368","https://openalex.org/W3029558105","https://openalex.org/W3197217216","https://openalex.org/W3209696639","https://openalex.org/W4205228770","https://openalex.org/W4286989576","https://openalex.org/W4294982520"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2069340834","https://openalex.org/W2550686250","https://openalex.org/W2083288298","https://openalex.org/W2607129240","https://openalex.org/W2054224598"],"abstract_inverted_index":{"Symbolic":[0,41,88,137],"Regression":[1,89,138],"is":[2,58],"a":[3,20,54,80,124],"powerful":[4],"data-driven":[5],"technique":[6,39,126],"that":[7,12,122,152],"searches":[8],"for":[9,40],"mathematical":[10],"expressions":[11],"explain":[13],"the":[14,36,44,94,100,105,141,160],"relationship":[15],"between":[16],"input":[17],"variables":[18],"and":[19,28,69,77],"target":[21],"of":[22],"interest.":[23],"Due":[24],"to":[25,63,82,87,114,131,134,159],"its":[26],"efficiency":[27],"flexibility,":[29],"Genetic":[30,46],"Programming":[31,47],"can":[32],"be":[33,115],"seen":[34],"as":[35],"standard":[37],"search":[38],"Regression.":[42],"However,":[43],"conventional":[45],"algorithm":[48],"requires":[49],"storing":[50],"all":[51],"data":[52,67,165],"in":[53,140],"central":[55],"location,":[56],"which":[57],"not":[59],"always":[60],"feasible":[61],"due":[62],"growing":[64],"concerns":[65],"about":[66],"privacy":[68],"security.":[70],"While":[71],"privacy-preserving":[72,125],"research":[73],"has":[74,112],"advanced":[75],"recently":[76],"might":[78],"offer":[79],"solution":[81,162],"this":[83],"problem,":[84],"their":[85],"application":[86],"remains":[90],"largely":[91],"unexplored.":[92],"Furthermore,":[93],"existing":[95],"work":[96],"only":[97],"focuses":[98],"on":[99],"horizontally":[101],"partitioned":[102,107],"setting,":[103,108],"whereas":[104],"vertically":[106],"another":[109],"popular":[110],"scenario,":[111],"yet":[113],"investigated.":[116],"Herein,":[117],"we":[118],"propose":[119],"an":[120],"approach":[121],"employs":[123],"called":[127],"Secure":[128],"Multiparty":[129],"Computation":[130],"enable":[132],"parties":[133],"jointly":[135],"build":[136],"models":[139],"vertical":[142],"scenario":[143],"without":[144],"revealing":[145],"private":[146],"data.":[147],"Preliminary":[148],"experimental":[149],"results":[150],"indicate":[151],"our":[153],"proposed":[154],"method":[155],"delivers":[156],"comparable":[157],"performance":[158],"centralized":[161],"while":[163],"safeguarding":[164],"privacy.":[166]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-15T18:14:33.161393","created_date":"2025-10-10T00:00:00"}