{"id":"https://openalex.org/W4206938228","doi":"https://doi.org/10.1109/ssci50451.2021.9660183","title":"EMO-GAT: An Evolutionary Multi-Objective Method for Adversarial Training","display_name":"EMO-GAT: An Evolutionary Multi-Objective Method for Adversarial Training","publication_year":2021,"publication_date":"2021-12-05","ids":{"openalex":"https://openalex.org/W4206938228","doi":"https://doi.org/10.1109/ssci50451.2021.9660183"},"language":"en","primary_location":{"id":"doi:10.1109/ssci50451.2021.9660183","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ssci50451.2021.9660183","pdf_url":null,"source":{"id":"https://openalex.org/S4363604921","display_name":"2021 IEEE Symposium Series on Computational Intelligence (SSCI)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE Symposium Series on Computational Intelligence (SSCI)","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/A5028204183","display_name":"Marcellus Smith","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":"Marcellus Smith","raw_affiliation_strings":["Auburn University,Department of Computer Science & Software Engineering,Auburn,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Auburn University,Department of Computer Science & Software Engineering,Auburn,USA","institution_ids":["https://openalex.org/I82497590"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103274012","display_name":"Brandon Brown","orcid":"https://orcid.org/0009-0000-9831-6406"},"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":"Brandon Brown","raw_affiliation_strings":["Auburn University,Department of Computer Science & Software Engineering,Auburn,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Auburn University,Department of Computer Science & Software Engineering,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,Department of Computer Science & Software Engineering,Auburn,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Auburn University,Department of Computer Science & Software Engineering,Auburn,USA","institution_ids":["https://openalex.org/I82497590"]}]},{"author_position":"last","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 King","raw_affiliation_strings":["Florida Institute of Technology,Department of Computer Engineering and Sciences,Melbourne,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Florida Institute of Technology,Department of Computer Engineering and Sciences,Melbourne,USA","institution_ids":["https://openalex.org/I106959904"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.21099815,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"16","issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","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/T11689","display_name":"Adversarial Robustness in Machine Learning","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/T11241","display_name":"Advanced Malware Detection Techniques","score":0.9900000095367432,"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/T11515","display_name":"Bacillus and Francisella bacterial research","score":0.945900022983551,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.9700609445571899},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6940122842788696},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6472300887107849},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6116093993186951},{"id":"https://openalex.org/keywords/training","display_name":"Training (meteorology)","score":0.5366947054862976},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.502994954586029},{"id":"https://openalex.org/keywords/adversarial-machine-learning","display_name":"Adversarial machine learning","score":0.45087265968322754},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.35127758979797363},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15376704931259155}],"concepts":[{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.9700609445571899},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6940122842788696},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6472300887107849},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6116093993186951},{"id":"https://openalex.org/C2777211547","wikidata":"https://www.wikidata.org/wiki/Q17141490","display_name":"Training (meteorology)","level":2,"score":0.5366947054862976},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.502994954586029},{"id":"https://openalex.org/C2778403875","wikidata":"https://www.wikidata.org/wiki/Q20312394","display_name":"Adversarial machine learning","level":3,"score":0.45087265968322754},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.35127758979797363},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15376704931259155},{"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":1,"locations":[{"id":"doi:10.1109/ssci50451.2021.9660183","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ssci50451.2021.9660183","pdf_url":null,"source":{"id":"https://openalex.org/S4363604921","display_name":"2021 IEEE Symposium Series on Computational Intelligence (SSCI)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE Symposium Series on Computational Intelligence (SSCI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320309904","display_name":"Auburn University","ror":"https://ror.org/02v80fc35"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":46,"referenced_works":["https://openalex.org/W1673923490","https://openalex.org/W1945616565","https://openalex.org/W1964940342","https://openalex.org/W2022485595","https://openalex.org/W2126105956","https://openalex.org/W2166843422","https://openalex.org/W2180612164","https://openalex.org/W2321746475","https://openalex.org/W2549975402","https://openalex.org/W2772792254","https://openalex.org/W2791544114","https://openalex.org/W2810121253","https://openalex.org/W2911964244","https://openalex.org/W2913266441","https://openalex.org/W2923292931","https://openalex.org/W2944575651","https://openalex.org/W2944965374","https://openalex.org/W2949311987","https://openalex.org/W2954540134","https://openalex.org/W2963361074","https://openalex.org/W2963389226","https://openalex.org/W2963857521","https://openalex.org/W2964082701","https://openalex.org/W2964201752","https://openalex.org/W2973934518","https://openalex.org/W2998161546","https://openalex.org/W3004298045","https://openalex.org/W3007517706","https://openalex.org/W3015607265","https://openalex.org/W3022847253","https://openalex.org/W3034230150","https://openalex.org/W3080237529","https://openalex.org/W3092605210","https://openalex.org/W3120198405","https://openalex.org/W3184728771","https://openalex.org/W3191332647","https://openalex.org/W4237027273","https://openalex.org/W4288359148","https://openalex.org/W4288363925","https://openalex.org/W4293584023","https://openalex.org/W4381325153","https://openalex.org/W4394644156","https://openalex.org/W6684276203","https://openalex.org/W6729089581","https://openalex.org/W6746957432","https://openalex.org/W6767757807"],"related_works":["https://openalex.org/W3048732067","https://openalex.org/W4383468834","https://openalex.org/W2900159906","https://openalex.org/W4384648009","https://openalex.org/W4283221438","https://openalex.org/W4287828318","https://openalex.org/W2406556600","https://openalex.org/W4380352238","https://openalex.org/W3126470649","https://openalex.org/W2930249865"],"abstract_inverted_index":{"Adversarial":[0],"examples":[1],"are":[2],"an":[3],"effective":[4],"method":[5],"that":[6,44,66],"can":[7],"be":[8],"leveraged":[9],"to":[10],"attack":[11],"machine":[12],"learning":[13],"systems.":[14],"The":[15],"primary":[16],"defensive":[17],"method,":[18,36],"adversarial":[19,41,56,62,71,75],"training,":[20],"is":[21],"a":[22,34,49],"simplistic":[23],"approach":[24],"when":[25],"applied":[26],"without":[27],"optimization.":[28],"In":[29],"this":[30],"paper":[31],"we":[32],"propose":[33],"novel":[35],"evolutionary":[37,55],"multi-objective":[38],"optimization":[39],"genetic":[40,74],"training":[42,57,72,76],"(EMO-GAT),":[43],"enables":[45],"the":[46],"development":[47],"of":[48,61],"more":[50],"robust":[51],"model":[52],"by":[53],"performing":[54],"using":[58],"multiple":[59],"types":[60],"examples.":[63],"We":[64],"demonstrate":[65],"EMO-GAT":[67],"outperforms":[68],"both":[69],"traditional":[70],"and":[73],"(GAT).":[77]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
