{"id":"https://openalex.org/W4312865422","doi":"https://doi.org/10.1109/dsit55514.2022.9943985","title":"Adversarial Attack Detection Based on Example Semantics and Model Activation Features","display_name":"Adversarial Attack Detection Based on Example Semantics and Model Activation Features","publication_year":2022,"publication_date":"2022-07-22","ids":{"openalex":"https://openalex.org/W4312865422","doi":"https://doi.org/10.1109/dsit55514.2022.9943985"},"language":"en","primary_location":{"id":"doi:10.1109/dsit55514.2022.9943985","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dsit55514.2022.9943985","pdf_url":null,"source":{"id":"https://openalex.org/S4363608293","display_name":"2022 5th International Conference on Data Science and Information Technology (DSIT)","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":"2022 5th International Conference on Data Science and Information Technology (DSIT)","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/A5101758654","display_name":"Jinyin Chen","orcid":"https://orcid.org/0000-0002-7153-2755"},"institutions":[{"id":"https://openalex.org/I55712492","display_name":"Zhejiang University of Technology","ror":"https://ror.org/02djqfd08","country_code":"CN","type":"education","lineage":["https://openalex.org/I55712492"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinyin Chen","raw_affiliation_strings":["Institute of Cyberspace Security, Zhejiang University of Technology,Hangzhou,China","Institute of Cyberspace Security, Zhejiang University of Technology, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Cyberspace Security, Zhejiang University of Technology,Hangzhou,China","institution_ids":["https://openalex.org/I55712492"]},{"raw_affiliation_string":"Institute of Cyberspace Security, Zhejiang University of Technology, Hangzhou, China","institution_ids":["https://openalex.org/I55712492"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102625153","display_name":"Tianle Yu","orcid":"https://orcid.org/0000-0002-6043-4754"},"institutions":[{"id":"https://openalex.org/I55712492","display_name":"Zhejiang University of Technology","ror":"https://ror.org/02djqfd08","country_code":"CN","type":"education","lineage":["https://openalex.org/I55712492"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tianle Yu","raw_affiliation_strings":["College of Information Engineering, Zhejiang University of Technology,Hangzhou,China","College of Information Engineering, Zhejiang University of Technology, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information Engineering, Zhejiang University of Technology,Hangzhou,China","institution_ids":["https://openalex.org/I55712492"]},{"raw_affiliation_string":"College of Information Engineering, Zhejiang University of Technology, Hangzhou, China","institution_ids":["https://openalex.org/I55712492"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087430975","display_name":"Chang-an Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I55712492","display_name":"Zhejiang University of Technology","ror":"https://ror.org/02djqfd08","country_code":"CN","type":"education","lineage":["https://openalex.org/I55712492"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Changan Wu","raw_affiliation_strings":["College of Information Engineering, Zhejiang University of Technology,Hangzhou,China","College of Information Engineering, Zhejiang University of Technology, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information Engineering, Zhejiang University of Technology,Hangzhou,China","institution_ids":["https://openalex.org/I55712492"]},{"raw_affiliation_string":"College of Information Engineering, Zhejiang University of Technology, Hangzhou, China","institution_ids":["https://openalex.org/I55712492"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072212265","display_name":"Haibin Zheng","orcid":"https://orcid.org/0000-0002-8997-5343"},"institutions":[{"id":"https://openalex.org/I55712492","display_name":"Zhejiang University of Technology","ror":"https://ror.org/02djqfd08","country_code":"CN","type":"education","lineage":["https://openalex.org/I55712492"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haibin Zheng","raw_affiliation_strings":["College of Information Engineering, Zhejiang University of Technology,Hangzhou,China","College of Information Engineering, Zhejiang University of Technology, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information Engineering, Zhejiang University of Technology,Hangzhou,China","institution_ids":["https://openalex.org/I55712492"]},{"raw_affiliation_string":"College of Information Engineering, Zhejiang University of Technology, Hangzhou, China","institution_ids":["https://openalex.org/I55712492"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063131254","display_name":"Wenhong Zhao","orcid":"https://orcid.org/0000-0003-3740-4829"},"institutions":[{"id":"https://openalex.org/I4210092870","display_name":"Jiaxing University","ror":"https://ror.org/00j2a7k55","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210092870"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenhong Zhao","raw_affiliation_strings":["College of Information Engineering, Jiaxing Nanhu University,Jiaxing,Zhejiang,China","College of Information Engineering, Jiaxing Nanhu University, Jiaxing, Zhejiang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information Engineering, Jiaxing Nanhu University,Jiaxing,Zhejiang,China","institution_ids":["https://openalex.org/I4210092870"]},{"raw_affiliation_string":"College of Information Engineering, Jiaxing Nanhu University, Jiaxing, Zhejiang, China","institution_ids":["https://openalex.org/I4210092870"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110708611","display_name":"Ling Pang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210122705","display_name":"Hebei University of Chinese Medicine","ror":"https://ror.org/02qxkhm81","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210122705"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ling Pang","raw_affiliation_strings":["Chinese National Key Laboratory of Science and Technology on Information System Security,Shijiazhuang,China","Chinese National Key Laboratory of Science and Technology on Information System Security, Shijiazhuang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chinese National Key Laboratory of Science and Technology on Information System Security,Shijiazhuang,China","institution_ids":["https://openalex.org/I4210122705"]},{"raw_affiliation_string":"Chinese National Key Laboratory of Science and Technology on Information System Security, Shijiazhuang, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100444602","display_name":"Hu Li","orcid":"https://orcid.org/0000-0002-0420-855X"},"institutions":[{"id":"https://openalex.org/I4210159961","display_name":"Dingxi City People's Hospital","ror":"https://ror.org/04scxn105","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210159961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hu Li","raw_affiliation_strings":["Chinese National Key Laboratory of Science and Technology on Information System Security,Dingxi,Gansu,China","Chinese National Key Laboratory of Science and Technology on Information System Security, Dingxi, Gansu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chinese National Key Laboratory of Science and Technology on Information System Security,Dingxi,Gansu,China","institution_ids":["https://openalex.org/I4210159961"]},{"raw_affiliation_string":"Chinese National Key Laboratory of Science and Technology on Information System Security, Dingxi, Gansu, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.5191,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.64850252,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"2","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9997000098228455,"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"}},"topics":[{"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"}},{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9884999990463257,"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":0.9667999744415283,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7973246574401855},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.7922282218933105},{"id":"https://openalex.org/keywords/binary-classification","display_name":"Binary classification","score":0.6403268575668335},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6218215227127075},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.5797498822212219},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5398598909378052},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5365011692047119},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.4490927457809448},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.44281837344169617},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.42648816108703613},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3693528473377228},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.33511367440223694},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.14372602105140686},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07662543654441833}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7973246574401855},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.7922282218933105},{"id":"https://openalex.org/C66905080","wikidata":"https://www.wikidata.org/wiki/Q17005494","display_name":"Binary classification","level":3,"score":0.6403268575668335},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6218215227127075},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.5797498822212219},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5398598909378052},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5365011692047119},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.4490927457809448},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.44281837344169617},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.42648816108703613},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3693528473377228},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.33511367440223694},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.14372602105140686},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07662543654441833},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/dsit55514.2022.9943985","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dsit55514.2022.9943985","pdf_url":null,"source":{"id":"https://openalex.org/S4363608293","display_name":"2022 5th International Conference on Data Science and Information Technology (DSIT)","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":"2022 5th International Conference on Data Science and Information Technology (DSIT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.5199999809265137,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1686810756","https://openalex.org/W1787224781","https://openalex.org/W2112796928","https://openalex.org/W2147800946","https://openalex.org/W2618043096","https://openalex.org/W2947133760","https://openalex.org/W3035182590","https://openalex.org/W3118608800","https://openalex.org/W6637373629","https://openalex.org/W6787972765"],"related_works":["https://openalex.org/W4310989423","https://openalex.org/W3208028783","https://openalex.org/W564581980","https://openalex.org/W3158264953","https://openalex.org/W4210805610","https://openalex.org/W3201704107","https://openalex.org/W4287239390","https://openalex.org/W3133593829","https://openalex.org/W2112343299","https://openalex.org/W4221015625"],"abstract_inverted_index":{"With":[0],"the":[1,19,33,44,92,110,115,131,138,145,161,168,170,184,187,198,201,206],"widespread":[2],"application":[3],"of":[4,23,35,46,94,101,163,200],"deep":[5,24,36,111],"learning":[6,25],"technology,":[7],"its":[8],"security":[9,20],"issue":[10],"is":[11],"also":[12],"gradually":[13],"paid":[14],"attention":[15],"to.":[16],"To":[17],"improve":[18],"and":[21,42,58,62,80,97,118,134,155],"reliability":[22],"technology":[26],"in":[27,148,167,190,197],"practical":[28],"applications,":[29],"we":[30,69,143],"focus":[31],"on":[32,54,77,152],"vulnerability":[34],"neural":[37],"networks":[38],"against":[39,173],"adversarial":[40,48,72,146,164],"attacks":[41,175],"address":[43],"problems":[45,93],"existing":[47],"example":[49],"detection":[50,60,64,74,99,102,162,171,188,204,208],"algorithms":[51],"that":[52],"rely":[53],"pre-known":[55],"attack":[56,73,95],"types,":[57],"low":[59],"efficiency,":[61],"high":[63,195],"costs.":[65],"In":[66],"this":[67,191],"paper,":[68],"propose":[70],"an":[71,86],"method":[75],"based":[76,151],"sample":[78,89],"semantics":[79,90],"model":[81,112,119,156],"activation":[82,120,157],"features":[83,117,154,158],"to":[84,113,129,159],"provide":[85],"effective":[87],"solution":[88],"for":[91,142],"dependence":[96],"uninterpretable":[98],"results":[100],"methods.":[103],"Firstly,":[104],"normal":[105],"examples":[106],"are":[107,126],"input":[108],"into":[109],"obtain":[114],"semantic":[116],"features.":[121],"Secondly,":[122],"binary":[123,132,139],"classification":[124,140],"datasets":[125,178],"constructed":[127],"separately":[128],"train":[130],"classifier":[133],"then":[135],"divides":[136],"by":[137,211],"detector":[141],"construct":[144],"samples":[147],"two":[149],"parts":[150],"relevance":[153],"achieve":[160],"samples.":[165],"Finally,":[166],"experiments,":[169],"rate":[172,209],"different":[174,177],"under":[176],"reached":[179],"higher":[180],"than":[181,214],"93.00%.":[182],"At":[183],"same":[185],"time,":[186],"algorithm":[189],"paper":[192],"still":[193],"maintains":[194],"performance":[196],"case":[199],"attacker's":[202],"known":[203],"algorithm,":[205],"average":[207],"decreases":[210],"no":[212],"more":[213],"5%.":[215]},"counts_by_year":[{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}