{"id":"https://openalex.org/W3191332647","doi":"https://doi.org/10.1109/cec45853.2021.9504723","title":"Mitigating Attacks on Fake News Detection Systems using Genetic-Based Adversarial Training","display_name":"Mitigating Attacks on Fake News Detection Systems using Genetic-Based Adversarial Training","publication_year":2021,"publication_date":"2021-06-28","ids":{"openalex":"https://openalex.org/W3191332647","doi":"https://doi.org/10.1109/cec45853.2021.9504723","mag":"3191332647"},"language":"en","primary_location":{"id":"doi:10.1109/cec45853.2021.9504723","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec45853.2021.9504723","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE Congress on Evolutionary Computation (CEC)","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, Auburn, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Auburn University, 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, Auburn, USA"],"raw_orcid":null,"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"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Auburn University, 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":["School of Computing, Florida Institute of Technology, Melbourne, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computing, Florida Institute of Technology, 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":0.5597,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.73380089,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1265","last_page":"1271"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9983000159263611,"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/T11147","display_name":"Misinformation and Its Impacts","score":0.9843999743461609,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.9830355644226074},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7107149362564087},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6878710389137268},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.6243104934692383},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6143792867660522},{"id":"https://openalex.org/keywords/adversarial-machine-learning","display_name":"Adversarial machine learning","score":0.5895935893058777},{"id":"https://openalex.org/keywords/training","display_name":"Training (meteorology)","score":0.5479918718338013},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.17473652958869934}],"concepts":[{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.9830355644226074},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7107149362564087},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6878710389137268},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.6243104934692383},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6143792867660522},{"id":"https://openalex.org/C2778403875","wikidata":"https://www.wikidata.org/wiki/Q20312394","display_name":"Adversarial machine learning","level":3,"score":0.5895935893058777},{"id":"https://openalex.org/C2777211547","wikidata":"https://www.wikidata.org/wiki/Q17141490","display_name":"Training (meteorology)","level":2,"score":0.5479918718338013},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.17473652958869934},{"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/cec45853.2021.9504723","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec45853.2021.9504723","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE Congress on Evolutionary Computation (CEC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.5,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W1673923490","https://openalex.org/W1945616565","https://openalex.org/W1964940342","https://openalex.org/W2095577883","https://openalex.org/W2166843422","https://openalex.org/W2180612164","https://openalex.org/W2295598076","https://openalex.org/W2549975402","https://openalex.org/W2810121253","https://openalex.org/W2886520477","https://openalex.org/W2911964244","https://openalex.org/W2915177913","https://openalex.org/W2934927394","https://openalex.org/W2944575651","https://openalex.org/W2963178695","https://openalex.org/W2963207607","https://openalex.org/W2963389226","https://openalex.org/W2964153729","https://openalex.org/W3038850883","https://openalex.org/W3080237529","https://openalex.org/W3092605210","https://openalex.org/W3120198405","https://openalex.org/W3164709122","https://openalex.org/W4211122380","https://openalex.org/W4288363925","https://openalex.org/W4293584023","https://openalex.org/W6637162671","https://openalex.org/W6640425456","https://openalex.org/W6695131652","https://openalex.org/W6729089581","https://openalex.org/W6729756640","https://openalex.org/W6734483310","https://openalex.org/W6747385936","https://openalex.org/W6761100157","https://openalex.org/W6784080476"],"related_works":["https://openalex.org/W3048732067","https://openalex.org/W4383468834","https://openalex.org/W4384648009","https://openalex.org/W4303645823","https://openalex.org/W2900159906","https://openalex.org/W4283221438","https://openalex.org/W4287828318","https://openalex.org/W2406556600","https://openalex.org/W2899811703","https://openalex.org/W2930249865"],"abstract_inverted_index":{"The":[0],"study":[1],"of":[2,15,31,43],"adversarial":[3,32,44,54,70,80],"effects":[4,30],"on":[5,34],"AI":[6],"systems":[7],"is":[8,82],"not":[9],"a":[10,49,60],"new":[11],"concept,":[12],"but":[13],"much":[14],"the":[16,29,41,75],"research":[17],"has":[18],"been":[19],"devoted":[20],"to":[21,59],"deep":[22],"learning.":[23],"In":[24],"this":[25],"paper":[26],"we":[27,47],"explore":[28],"examples":[33,56,71],"4":[35],"machine":[36,63],"learning":[37,64],"classifiers":[38],"and":[39,78],"measure":[40],"effectiveness":[42],"training.":[45],"Additionally,":[46],"present":[48],"novel":[50],"method":[51],"for":[52],"selecting":[53],"training":[55,81],"that":[57,69,79],"lead":[58],"more":[61],"robust":[62],"system.":[65],"Our":[66],"results":[67],"suggest":[68],"can":[72],"significantly":[73],"hinder":[74],"classification":[76],"performance":[77],"an":[83],"effective":[84],"defensive":[85],"counter-measure.":[86]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
