{"id":"https://openalex.org/W4388867377","doi":"https://doi.org/10.1145/3576915.3624369","title":"Poster: Backdoor Attack on Extreme Learning Machines","display_name":"Poster: Backdoor Attack on Extreme Learning Machines","publication_year":2023,"publication_date":"2023-11-15","ids":{"openalex":"https://openalex.org/W4388867377","doi":"https://doi.org/10.1145/3576915.3624369"},"language":"en","primary_location":{"id":"doi:10.1145/3576915.3624369","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3576915.3624369","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security","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/A5072567205","display_name":"Behrad Tajalli","orcid":"https://orcid.org/0009-0001-0636-3385"},"institutions":[{"id":"https://openalex.org/I145872427","display_name":"Radboud University Nijmegen","ror":"https://ror.org/016xsfp80","country_code":"NL","type":"education","lineage":["https://openalex.org/I145872427"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Behrad Tajalli","raw_affiliation_strings":["Radboud University, Nijmegen, Netherlands"],"raw_orcid":"https://orcid.org/0009-0001-0636-3385","affiliations":[{"raw_affiliation_string":"Radboud University, Nijmegen, Netherlands","institution_ids":["https://openalex.org/I145872427"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043249066","display_name":"Gorka Abad","orcid":"https://orcid.org/0000-0002-6735-3623"},"institutions":[{"id":"https://openalex.org/I145872427","display_name":"Radboud University Nijmegen","ror":"https://ror.org/016xsfp80","country_code":"NL","type":"education","lineage":["https://openalex.org/I145872427"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Gorka Abad","raw_affiliation_strings":["Radboud University & Ikerlan Research Centre, Nijmegen, Netherlands"],"raw_orcid":"https://orcid.org/0000-0002-6735-3623","affiliations":[{"raw_affiliation_string":"Radboud University & Ikerlan Research Centre, Nijmegen, Netherlands","institution_ids":["https://openalex.org/I145872427"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5024072796","display_name":"Stjepan Picek","orcid":"https://orcid.org/0000-0001-7509-4337"},"institutions":[{"id":"https://openalex.org/I145872427","display_name":"Radboud University Nijmegen","ror":"https://ror.org/016xsfp80","country_code":"NL","type":"education","lineage":["https://openalex.org/I145872427"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Stjepan Picek","raw_affiliation_strings":["Radboud University, Nijmegen, Netherlands"],"raw_orcid":"https://orcid.org/0000-0001-7509-4337","affiliations":[{"raw_affiliation_string":"Radboud University, Nijmegen, Netherlands","institution_ids":["https://openalex.org/I145872427"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I145872427"],"apc_list":null,"apc_paid":null,"fwci":0.4839,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.71786198,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"3588","last_page":"3590"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12676","display_name":"Machine Learning and ELM","score":0.9997000098228455,"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/T12676","display_name":"Machine Learning and ELM","score":0.9997000098228455,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9994999766349792,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.989300012588501,"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/backdoor","display_name":"Backdoor","score":0.9546425342559814},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8129618763923645},{"id":"https://openalex.org/keywords/deep-neural-networks","display_name":"Deep neural networks","score":0.5879788994789124},{"id":"https://openalex.org/keywords/extreme-learning-machine","display_name":"Extreme learning machine","score":0.5711936950683594},{"id":"https://openalex.org/keywords/training","display_name":"Training (meteorology)","score":0.5362014174461365},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5000784397125244},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.49342504143714905},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.49060454964637756},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.463622123003006},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.41634607315063477},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.3463869094848633}],"concepts":[{"id":"https://openalex.org/C2781045450","wikidata":"https://www.wikidata.org/wiki/Q254569","display_name":"Backdoor","level":2,"score":0.9546425342559814},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8129618763923645},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.5879788994789124},{"id":"https://openalex.org/C2780150128","wikidata":"https://www.wikidata.org/wiki/Q21948731","display_name":"Extreme learning machine","level":3,"score":0.5711936950683594},{"id":"https://openalex.org/C2777211547","wikidata":"https://www.wikidata.org/wiki/Q17141490","display_name":"Training (meteorology)","level":2,"score":0.5362014174461365},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5000784397125244},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.49342504143714905},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.49060454964637756},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.463622123003006},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.41634607315063477},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.3463869094848633},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3576915.3624369","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3576915.3624369","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security","raw_type":"proceedings-article"},{"id":"pmh:oai:repository.ubn.ru.nl:2066/299148","is_oa":false,"landing_page_url":"https://hdl.handle.net/2066/299148","pdf_url":null,"source":{"id":"https://openalex.org/S4306401067","display_name":"Radboud Repository (Radboud University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I145872427","host_organization_name":"Radboud University Nijmegen","host_organization_lineage":["https://openalex.org/I145872427"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Article in monograph or in proceedings"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W1965895201","https://openalex.org/W2111072639","https://openalex.org/W2143612262","https://openalex.org/W2301541953","https://openalex.org/W2572504188","https://openalex.org/W2807363941","https://openalex.org/W2942091739","https://openalex.org/W3034234149","https://openalex.org/W3039098095"],"related_works":["https://openalex.org/W2989852175","https://openalex.org/W2807363941","https://openalex.org/W3094566724","https://openalex.org/W4388858813","https://openalex.org/W3015716673","https://openalex.org/W4288797976","https://openalex.org/W4320503952","https://openalex.org/W4377865163","https://openalex.org/W4287183950","https://openalex.org/W3000197790"],"abstract_inverted_index":{"Deep":[0],"neural":[1],"networks":[2],"(DNNs)":[3],"achieve":[4],"top":[5],"performance":[6],"through":[7],"costly":[8],"training":[9,40,61],"on":[10],"large":[11],"datasets.":[12],"Such":[13],"resources":[14],"may":[15],"not":[16],"be":[17,65],"available":[18],"in":[19],"some":[20],"scenarios,":[21],"like":[22],"IoT":[23],"or":[24,60],"healthcare.":[25],"Extreme":[26],"learning":[27],"machines":[28],"(ELMs)":[29],"aim":[30],"to":[31,50],"alleviate":[32],"this":[33],"problem":[34],"using":[35],"single-layered":[36],"networks,":[37],"requiring":[38],"fewer":[39],"resources.":[41],"Current":[42],"investigations":[43],"have":[44],"found":[45],"that":[46],"DNNs":[47],"are":[48],"prone":[49],"security":[51],"and":[52],"privacy":[53],"threats,":[54],"where":[55],"malfunction":[56],"of":[57],"the":[58],"network":[59],"data":[62],"extraction":[63],"can":[64],"performed.":[66]},"counts_by_year":[{"year":2024,"cited_by_count":3}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}