{"id":"https://openalex.org/W4205324755","doi":"https://doi.org/10.1109/ist50367.2021.9651377","title":"Comparing Speed Reduction of Adversarial Defense Systems on Deep Neural Networks","display_name":"Comparing Speed Reduction of Adversarial Defense Systems on Deep Neural Networks","publication_year":2021,"publication_date":"2021-08-24","ids":{"openalex":"https://openalex.org/W4205324755","doi":"https://doi.org/10.1109/ist50367.2021.9651377"},"language":"en","primary_location":{"id":"doi:10.1109/ist50367.2021.9651377","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ist50367.2021.9651377","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Imaging Systems and Techniques (IST)","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/A5041041438","display_name":"Andrew Bowman","orcid":null},"institutions":[{"id":"https://openalex.org/I169615421","display_name":"Middle Tennessee State University","ror":"https://ror.org/02n1hzn07","country_code":"US","type":"education","lineage":["https://openalex.org/I169615421"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Andrew Bowman","raw_affiliation_strings":["Department of Computer Science, Middle Tennessee State University, Murfreesboro, United States"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Middle Tennessee State University, Murfreesboro, United States","institution_ids":["https://openalex.org/I169615421"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100719715","display_name":"Xin Yang","orcid":"https://orcid.org/0000-0003-3428-3806"},"institutions":[{"id":"https://openalex.org/I169615421","display_name":"Middle Tennessee State University","ror":"https://ror.org/02n1hzn07","country_code":"US","type":"education","lineage":["https://openalex.org/I169615421"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xin Yang","raw_affiliation_strings":["Department of Computer Science, Middle Tennessee State University, Murfreesboro, United States"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Middle Tennessee State University, Murfreesboro, United States","institution_ids":["https://openalex.org/I169615421"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"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":0.2005714,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"abs 1703 4318","issue":null,"first_page":"1","last_page":"5"},"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":0.9829000234603882,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9733999967575073,"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":0.9011297225952148},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7022038698196411},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6401118040084839},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6311734914779663},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6194568872451782},{"id":"https://openalex.org/keywords/deep-neural-networks","display_name":"Deep neural networks","score":0.5364357233047485},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.5327320694923401},{"id":"https://openalex.org/keywords/adversarial-machine-learning","display_name":"Adversarial machine learning","score":0.50749272108078},{"id":"https://openalex.org/keywords/null","display_name":"Null (SQL)","score":0.4942586421966553},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.47379252314567566},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.45073947310447693},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4220846891403198},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.3308623135089874},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.2521352767944336},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09465733170509338}],"concepts":[{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.9011297225952148},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7022038698196411},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6401118040084839},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6311734914779663},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6194568872451782},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.5364357233047485},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.5327320694923401},{"id":"https://openalex.org/C2778403875","wikidata":"https://www.wikidata.org/wiki/Q20312394","display_name":"Adversarial machine learning","level":3,"score":0.50749272108078},{"id":"https://openalex.org/C203763787","wikidata":"https://www.wikidata.org/wiki/Q371029","display_name":"Null (SQL)","level":2,"score":0.4942586421966553},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.47379252314567566},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.45073947310447693},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4220846891403198},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.3308623135089874},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2521352767944336},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09465733170509338},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ist50367.2021.9651377","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ist50367.2021.9651377","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Imaging Systems and Techniques (IST)","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":12,"referenced_works":["https://openalex.org/W2007339694","https://openalex.org/W2598549816","https://openalex.org/W2811112136","https://openalex.org/W2934927394","https://openalex.org/W2963461515","https://openalex.org/W3007264885","https://openalex.org/W3013520104","https://openalex.org/W3031351653","https://openalex.org/W3033586497","https://openalex.org/W3048339221","https://openalex.org/W3123862714","https://openalex.org/W6735522978"],"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/W2950183588","https://openalex.org/W2406556600","https://openalex.org/W4293054861"],"abstract_inverted_index":{"In":[0],"the":[1,22,31,36,51,66,120],"field":[2],"of":[3,56,84],"Adversarial":[4,70,108],"Machine":[5],"Learning,":[6],"several":[7],"defense":[8,40,58,96],"systems":[9,16,41,59],"are":[10,60],"employed":[11],"to":[12,29,45,75,91],"protect":[13,76],"machine":[14,78],"learning":[15,79],"from":[17],"data":[18,26,85],"poisoning":[19,47],"attacks,":[20,48],"where":[21],"training":[23],"or":[24],"testing":[25],"is":[27],"altered":[28],"invalidate":[30],"prediction":[32],"model":[33],"created":[34],"by":[35],"system.":[37],"Although":[38,110],"many":[39],"have":[42],"been":[43],"proposed":[44],"combat":[46],"comparisons":[49],"between":[50,113],"effectiveness":[52],"and":[53,69,115],"performance":[54,104,114],"cost":[55],"these":[57],"few.":[61],"To":[62],"address":[63],"this":[64,122,133],"issue,":[65],"NULL":[67,88],"label":[68],"Training":[71],"methods":[72],"were":[73],"implemented":[74],"a":[77,127],"system":[80],"against":[81],"various":[82],"amounts":[83],"poisoning.":[86],"The":[87],"Label":[89],"proved":[90],"not":[92,102],"only":[93],"provide":[94,126],"better":[95],"on":[97],"average,":[98],"but":[99],"also":[100],"did":[101],"affect":[103],"as":[105,107],"much":[106],"Training.":[109],"no":[111],"trade-off":[112],"accuracy":[116],"was":[117],"detected":[118],"in":[119],"experiment,":[121],"work":[123],"will":[124],"hopefully":[125],"framework":[128],"for":[129],"future":[130],"experimentation":[131],"into":[132],"matter.":[134]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
