{"id":"https://openalex.org/W1998510843","doi":"https://doi.org/10.1109/icmlc.2010.5581070","title":"Apply randomization in KNN to make the adversary harder to attack the classifier","display_name":"Apply randomization in KNN to make the adversary harder to attack the classifier","publication_year":2010,"publication_date":"2010-07-01","ids":{"openalex":"https://openalex.org/W1998510843","doi":"https://doi.org/10.1109/icmlc.2010.5581070","mag":"1998510843"},"language":"en","primary_location":{"id":"doi:10.1109/icmlc.2010.5581070","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmlc.2010.5581070","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 International Conference on Machine Learning and Cybernetics","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/A5101470652","display_name":"Hui Yu","orcid":"https://orcid.org/0000-0001-8958-5006"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hui Yu","raw_affiliation_strings":["Machine Learning and Cybernetics Research Center, School of Computer Science and Engineering, South China University of Technology, Guangzhou, China","Machine Learning and Cybernetics Research Center, School of Computer Science and Engineering, South China, University of Technology, Guangzhou, 510006, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Machine Learning and Cybernetics Research Center, School of Computer Science and Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]},{"raw_affiliation_string":"Machine Learning and Cybernetics Research Center, School of Computer Science and Engineering, South China, University of Technology, Guangzhou, 510006, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031854980","display_name":"Patrick P. K. Chan","orcid":"https://orcid.org/0000-0001-7774-580X"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Patrick P. K. Chan","raw_affiliation_strings":["Machine Learning and Cybernetics Research Center, School of Computer Science and Engineering, South China University of Technology, Guangzhou, China","Machine Learning and Cybernetics Research Center, School of Computer Science and Engineering, South China, University of Technology, Guangzhou, 510006, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Machine Learning and Cybernetics Research Center, School of Computer Science and Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]},{"raw_affiliation_string":"Machine Learning and Cybernetics Research Center, School of Computer Science and Engineering, South China, University of Technology, Guangzhou, 510006, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5105759393","display_name":"Wing W. Y. Ng","orcid":"https://orcid.org/0000-0003-0783-3585"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wing W. Y. Ng","raw_affiliation_strings":["Machine Learning and Cybernetics Research Center, School of Computer Science and Engineering, South China University of Technology, Guangzhou, China","Machine Learning and Cybernetics Research Center, School of Computer Science and Engineering, South China, University of Technology, Guangzhou, 510006, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Machine Learning and Cybernetics Research Center, School of Computer Science and Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]},{"raw_affiliation_string":"Machine Learning and Cybernetics Research Center, School of Computer Science and Engineering, South China, University of Technology, Guangzhou, 510006, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006543313","display_name":"Daniel Yeung","orcid":"https://orcid.org/0000-0001-9397-8865"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Daniel S. Yeung","raw_affiliation_strings":["Machine Learning and Cybernetics Research Center, School of Computer Science and Engineering, South China University of Technology, Guangzhou, China","Machine Learning and Cybernetics Research Center, School of Computer Science and Engineering, South China, University of Technology, Guangzhou, 510006, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Machine Learning and Cybernetics Research Center, School of Computer Science and Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]},{"raw_affiliation_string":"Machine Learning and Cybernetics Research Center, School of Computer Science and Engineering, South China, University of Technology, Guangzhou, 510006, China","institution_ids":["https://openalex.org/I90610280"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I90610280"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.09565331,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"179","last_page":"183"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11241","display_name":"Advanced Malware Detection Techniques","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11241","display_name":"Advanced Malware Detection Techniques","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10400","display_name":"Network Security and Intrusion Detection","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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":0.9997000098228455,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.8745574355125427},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.8365565538406372},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7211855053901672},{"id":"https://openalex.org/keywords/adversary","display_name":"Adversary","score":0.7026689052581787},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5863364338874817},{"id":"https://openalex.org/keywords/adversarial-machine-learning","display_name":"Adversarial machine learning","score":0.5427411794662476},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.49482816457748413},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.45756959915161133},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3312777578830719},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.2415468692779541}],"concepts":[{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.8745574355125427},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.8365565538406372},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7211855053901672},{"id":"https://openalex.org/C41065033","wikidata":"https://www.wikidata.org/wiki/Q2825412","display_name":"Adversary","level":2,"score":0.7026689052581787},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5863364338874817},{"id":"https://openalex.org/C2778403875","wikidata":"https://www.wikidata.org/wiki/Q20312394","display_name":"Adversarial machine learning","level":3,"score":0.5427411794662476},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.49482816457748413},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.45756959915161133},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3312777578830719},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.2415468692779541}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icmlc.2010.5581070","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmlc.2010.5581070","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 International Conference on Machine Learning and Cybernetics","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W152305382","https://openalex.org/W1517113043","https://openalex.org/W2010657328","https://openalex.org/W2026080185","https://openalex.org/W2058732827","https://openalex.org/W2068426846","https://openalex.org/W2099606292","https://openalex.org/W2108601876","https://openalex.org/W2113242816","https://openalex.org/W2114296159","https://openalex.org/W2140785063","https://openalex.org/W2151298633","https://openalex.org/W2161470437","https://openalex.org/W2293768274","https://openalex.org/W2296452361","https://openalex.org/W4255911135","https://openalex.org/W4285719527","https://openalex.org/W6606244154"],"related_works":["https://openalex.org/W4320018150","https://openalex.org/W2040808657","https://openalex.org/W4239582170","https://openalex.org/W3048732067","https://openalex.org/W2918664383","https://openalex.org/W4320855730","https://openalex.org/W106056076","https://openalex.org/W4383468834","https://openalex.org/W2135200719","https://openalex.org/W4384648009"],"abstract_inverted_index":{"Adversarial":[0,58],"pattern":[1,9,84,100],"classification":[2,28,59,85,101],"has":[3,39],"been":[4,79],"proposed":[5,80],"in.":[6],"In":[7,93],"adversarial":[8,83,99],"classification,":[10],"an":[11,19,35,37,111],"adversary":[12,38,45,112,133,145],"wants":[13],"to":[14,21,29,33,40,81,103,125,147],"change":[15],"the":[16,23,51,56,98,108,114,121,127,144,149],"attributes":[17],"of":[18,110],"instance":[20,36],"let":[22],"classifier":[24,116,131],"make":[25,143],"a":[26,42],"wrong":[27],"gain":[30],"utility.":[31,57],"But":[32],"disguise":[34],"pay":[41],"cost.":[43],"The":[44],"will":[46],"never":[47],"do":[48],"this":[49,94],"if":[50],"cost":[52],"is":[53],"higher":[54],"than":[55],"systems":[60],"include":[61],"examples":[62],"such":[63],"as":[64],"biometric":[65],"personal":[66],"authentication,":[67],"intrusion":[68],"detection":[69],"in":[70,113],"computer":[71],"networks":[72],"and":[73,90,117,132],"spam":[74],"filtering.":[75],"Several":[76],"methods":[77],"have":[78],"tackle":[82],"problem":[86],"using":[87],"multiple":[88],"classifiers":[89],"randomization":[91,119,141],"methodology.":[92],"paper,":[95],"we":[96],"apply":[97],"model":[102],"KNN":[104,115,122],"classifier.":[105,123,150],"We":[106],"assume":[107],"existence":[109],"add":[118],"into":[120],"Experiments":[124],"simulate":[126],"two-player":[128],"game":[129],"between":[130],"were":[134],"perform.":[135],"Experimental":[136],"results":[137],"show":[138],"that":[139],"adding":[140],"could":[142],"harder":[146],"attack":[148]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2026-08-21T09:56:20.448147","created_date":"2025-10-10T00:00:00"}