{"id":"https://openalex.org/W3111314690","doi":"https://doi.org/10.1109/smc42975.2020.9283352","title":"\u2018Uh-oh Spaghetti-oh\u2019: When Successful Genetic and Evolutionary Feature Selection Makes You More Susceptible to Adversarial Authorship Attacks","display_name":"\u2018Uh-oh Spaghetti-oh\u2019: When Successful Genetic and Evolutionary Feature Selection Makes You More Susceptible to Adversarial Authorship Attacks","publication_year":2020,"publication_date":"2020-10-11","ids":{"openalex":"https://openalex.org/W3111314690","doi":"https://doi.org/10.1109/smc42975.2020.9283352","mag":"3111314690"},"language":"en","primary_location":{"id":"doi:10.1109/smc42975.2020.9283352","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smc42975.2020.9283352","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","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/A5031609201","display_name":"Alexicia Richardson","orcid":null},"institutions":[{"id":"https://openalex.org/I82497590","display_name":"Auburn University","ror":"https://ror.org/02v80fc35","country_code":"US","type":"education","lineage":["https://openalex.org/I82497590"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Alexicia Richardson","raw_affiliation_strings":["Auburn University, Auburn, USA"],"affiliations":[{"raw_affiliation_string":"Auburn University, Auburn, USA","institution_ids":["https://openalex.org/I82497590"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008283931","display_name":"Gerry Dozier","orcid":null},"institutions":[{"id":"https://openalex.org/I82497590","display_name":"Auburn University","ror":"https://ror.org/02v80fc35","country_code":"US","type":"education","lineage":["https://openalex.org/I82497590"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Gerry Dozier","raw_affiliation_strings":["Auburn University, Auburn, USA"],"affiliations":[{"raw_affiliation_string":"Auburn University, Auburn, USA","institution_ids":["https://openalex.org/I82497590"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027859840","display_name":"Michael C. King","orcid":"https://orcid.org/0000-0002-3219-5477"},"institutions":[{"id":"https://openalex.org/I106959904","display_name":"Florida Institute of Technology","ror":"https://ror.org/04atsbb87","country_code":"US","type":"education","lineage":["https://openalex.org/I106959904"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Michael C. King","raw_affiliation_strings":["School of Computing, Florida Institute of Technology, Melbourne, USA"],"affiliations":[{"raw_affiliation_string":"School of Computing, Florida Institute of Technology, Melbourne, USA","institution_ids":["https://openalex.org/I106959904"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110242497","display_name":"Richard Chapman","orcid":null},"institutions":[{"id":"https://openalex.org/I82497590","display_name":"Auburn University","ror":"https://ror.org/02v80fc35","country_code":"US","type":"education","lineage":["https://openalex.org/I82497590"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Richard Chapman","raw_affiliation_strings":["Auburn University, Auburn, USA"],"affiliations":[{"raw_affiliation_string":"Auburn University, Auburn, USA","institution_ids":["https://openalex.org/I82497590"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5031609201"],"corresponding_institution_ids":["https://openalex.org/I82497590"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.16604722,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"3","issue":null,"first_page":"567","last_page":"571"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12380","display_name":"Authorship Attribution and Profiling","score":0.9998000264167786,"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/T12380","display_name":"Authorship Attribution and Profiling","score":0.9998000264167786,"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/T12262","display_name":"Hate Speech and Cyberbullying Detection","score":0.9915000200271606,"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/T11644","display_name":"Spam and Phishing Detection","score":0.9850000143051147,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/feature-selection","display_name":"Feature selection","score":0.8292487859725952},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.828201174736023},{"id":"https://openalex.org/keywords/authorship-attribution","display_name":"Authorship attribution","score":0.657190203666687},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6093252897262573},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.6066097021102905},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5984120965003967},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5798249244689941},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5791500806808472},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.518768310546875},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5115171670913696},{"id":"https://openalex.org/keywords/masking","display_name":"Masking (illustration)","score":0.4554457664489746},{"id":"https://openalex.org/keywords/salient","display_name":"Salient","score":0.42122209072113037},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3372594118118286},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.32655471563339233}],"concepts":[{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.8292487859725952},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.828201174736023},{"id":"https://openalex.org/C3020202489","wikidata":"https://www.wikidata.org/wiki/Q2032038","display_name":"Authorship attribution","level":2,"score":0.657190203666687},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6093252897262573},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.6066097021102905},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5984120965003967},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5798249244689941},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5791500806808472},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.518768310546875},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5115171670913696},{"id":"https://openalex.org/C2777402240","wikidata":"https://www.wikidata.org/wiki/Q6783436","display_name":"Masking (illustration)","level":2,"score":0.4554457664489746},{"id":"https://openalex.org/C2780719617","wikidata":"https://www.wikidata.org/wiki/Q1030752","display_name":"Salient","level":2,"score":0.42122209072113037},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3372594118118286},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32655471563339233},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"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/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/smc42975.2020.9283352","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smc42975.2020.9283352","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":43,"referenced_works":["https://openalex.org/W1568834902","https://openalex.org/W1960210438","https://openalex.org/W2017337590","https://openalex.org/W2052220727","https://openalex.org/W2072828027","https://openalex.org/W2077414053","https://openalex.org/W2082821437","https://openalex.org/W2087016914","https://openalex.org/W2100596731","https://openalex.org/W2103231373","https://openalex.org/W2110548175","https://openalex.org/W2128155976","https://openalex.org/W2129074779","https://openalex.org/W2133462743","https://openalex.org/W2156728410","https://openalex.org/W2166843422","https://openalex.org/W2167421362","https://openalex.org/W2316474776","https://openalex.org/W2343420905","https://openalex.org/W2407876917","https://openalex.org/W2519643153","https://openalex.org/W2576766224","https://openalex.org/W2753696580","https://openalex.org/W2768755876","https://openalex.org/W2785479046","https://openalex.org/W2900225180","https://openalex.org/W2911398932","https://openalex.org/W2911521383","https://openalex.org/W2998216295","https://openalex.org/W3102918401","https://openalex.org/W3104109980","https://openalex.org/W3104609659","https://openalex.org/W4229505208","https://openalex.org/W4249247926","https://openalex.org/W4250089123","https://openalex.org/W4285719527","https://openalex.org/W6633992998","https://openalex.org/W6675324460","https://openalex.org/W6679204901","https://openalex.org/W6683225304","https://openalex.org/W6684559340","https://openalex.org/W6713936584","https://openalex.org/W7066667914"],"related_works":["https://openalex.org/W2502115930","https://openalex.org/W2482350142","https://openalex.org/W4246396837","https://openalex.org/W3126451824","https://openalex.org/W1561927205","https://openalex.org/W3191453585","https://openalex.org/W4297672492","https://openalex.org/W4310988119","https://openalex.org/W4285226279","https://openalex.org/W4288019534"],"abstract_inverted_index":{"Feature":[0,110],"selection":[1,56,100],"is":[2,88,103,144,163],"a":[3,14,42,74,92,153,168],"technique":[4],"used":[5,102],"to":[6,13,25,63,81,114,126,130,147,156,167],"reduce":[7],"an":[8,35,59,89,104],"original":[9],"set":[10,24],"of":[11,30,41,54,73,91,106,161],"features":[12,31],"subset":[15,29],"containing":[16],"the":[17,22,26,38,52,71,116,132,141,159],"most":[18,27],"salient":[19],"features.":[20],"Reducing":[21],"feature":[23,55,75,99],"significant":[28],"typically":[32],"results":[33,135],"in":[34,37,49,138],"increase":[36],"overall":[39],"accuracy":[40],"system.":[43],"It":[44],"has":[45],"been":[46],"shown":[47],"that":[48,137],"some":[50,139],"cases,":[51],"use":[53,120,160],"can":[57],"make":[58],"underlying":[60],"system":[61],"susceptible":[62,146],"adversarial":[64,82,122,128,148],"attacks.":[65,84,150],"In":[66],"this":[67],"paper,":[68],"we":[69,119],"investigate":[70],"susceptibility":[72],"selection-based":[76],"Authorship":[77],"Attribution":[78],"System":[79],"(AAS)":[80],"authorship":[83,123,149],"The":[85,98],"AAS":[86,143],"studied":[87],"instance":[90,105],"Linear":[93],"Support":[94],"Vector":[95],"Machine":[96],"(LSVM).":[97],"algorithm":[101],"Genetic":[107],"&":[108],"Evolutionary":[109],"Selection":[111],"(GEFeS)In":[112],"order":[113],"evaluate":[115],"GEFeS+LSVM-based":[117,142],"AAS,":[118],"three":[121],"masking":[124],"techniques":[125],"generate":[127],"texts":[129],"attack":[131],"AAS.":[133,170],"Our":[134],"show":[136],"cases":[140],"more":[145],"We":[151],"provide":[152],"simple":[154],"measurement":[155],"determine":[157],"whether":[158],"GEFeS":[162],"beneficial":[164],"or":[165],"detrimental":[166],"LSVM-based":[169]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}