{"id":"https://openalex.org/W4283771505","doi":"https://doi.org/10.1080/19393555.2022.2088429","title":"An adaptive randomized and secured approach against adversarial attacks","display_name":"An adaptive randomized and secured approach against adversarial attacks","publication_year":2022,"publication_date":"2022-07-01","ids":{"openalex":"https://openalex.org/W4283771505","doi":"https://doi.org/10.1080/19393555.2022.2088429"},"language":"en","primary_location":{"id":"doi:10.1080/19393555.2022.2088429","is_oa":false,"landing_page_url":"https://doi.org/10.1080/19393555.2022.2088429","pdf_url":null,"source":{"id":"https://openalex.org/S39280739","display_name":"Information Security Journal A Global Perspective","issn_l":"1939-3547","issn":["1939-3547","1939-3555"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Information Security Journal: A Global Perspective","raw_type":"journal-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/A5007887804","display_name":"Lovi Dhamija","orcid":null},"institutions":[{"id":"https://openalex.org/I70971781","display_name":"Dr. B. R. Ambedkar National Institute of Technology Jalandhar","ror":"https://ror.org/03xt0bg88","country_code":"IN","type":"education","lineage":["https://openalex.org/I70971781"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Lovi Dhamija","raw_affiliation_strings":["Department of Computer Science & Engineering, Dr. B.R Ambedkar National Institute of Technology, Jalandhar, India"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science & Engineering, Dr. B.R Ambedkar National Institute of Technology, Jalandhar, India","institution_ids":["https://openalex.org/I70971781"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070231937","display_name":"Urvashi Garg","orcid":"https://orcid.org/0000-0002-3395-9942"},"institutions":[{"id":"https://openalex.org/I70971781","display_name":"Dr. B. R. Ambedkar National Institute of Technology Jalandhar","ror":"https://ror.org/03xt0bg88","country_code":"IN","type":"education","lineage":["https://openalex.org/I70971781"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Urvashi Garg","raw_affiliation_strings":["Department of Computer Science & Engineering, Dr. B.R Ambedkar National Institute of Technology, Jalandhar, India"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science & Engineering, Dr. B.R Ambedkar National Institute of Technology, Jalandhar, India","institution_ids":["https://openalex.org/I70971781"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5007887804"],"corresponding_institution_ids":["https://openalex.org/I70971781"],"apc_list":null,"apc_paid":null,"fwci":0.2652,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.60031387,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":"32","issue":"6","first_page":"401","last_page":"416"},"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":0.996399998664856,"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/T12122","display_name":"Physical Unclonable Functions (PUFs) and Hardware Security","score":0.9779000282287598,"subfield":{"id":"https://openalex.org/subfields/1708","display_name":"Hardware and Architecture"},"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":0.8108299374580383},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.8007841110229492},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7379275560379028},{"id":"https://openalex.org/keywords/adversarial-machine-learning","display_name":"Adversarial machine learning","score":0.7251752614974976},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.717237651348114},{"id":"https://openalex.org/keywords/malware","display_name":"Malware","score":0.6516811847686768},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6278036832809448},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5988321304321289},{"id":"https://openalex.org/keywords/deep-neural-networks","display_name":"Deep neural networks","score":0.5367293357849121},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4798949956893921},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4644921123981476},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.44239887595176697},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.4353172481060028},{"id":"https://openalex.org/keywords/security-domain","display_name":"Security domain","score":0.4237542152404785},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.3591766953468323}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8108299374580383},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.8007841110229492},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7379275560379028},{"id":"https://openalex.org/C2778403875","wikidata":"https://www.wikidata.org/wiki/Q20312394","display_name":"Adversarial machine learning","level":3,"score":0.7251752614974976},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.717237651348114},{"id":"https://openalex.org/C541664917","wikidata":"https://www.wikidata.org/wiki/Q14001","display_name":"Malware","level":2,"score":0.6516811847686768},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6278036832809448},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5988321304321289},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.5367293357849121},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4798949956893921},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4644921123981476},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.44239887595176697},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.4353172481060028},{"id":"https://openalex.org/C2780264999","wikidata":"https://www.wikidata.org/wiki/Q7445032","display_name":"Security domain","level":2,"score":0.4237542152404785},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.3591766953468323},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/19393555.2022.2088429","is_oa":false,"landing_page_url":"https://doi.org/10.1080/19393555.2022.2088429","pdf_url":null,"source":{"id":"https://openalex.org/S39280739","display_name":"Information Security Journal A Global Perspective","issn_l":"1939-3547","issn":["1939-3547","1939-3555"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Information Security Journal: A Global Perspective","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W1932198206","https://openalex.org/W2180612164","https://openalex.org/W2243397390","https://openalex.org/W2543927648","https://openalex.org/W2567289819","https://openalex.org/W2603766943","https://openalex.org/W2618043096","https://openalex.org/W2746600820","https://openalex.org/W2765424254","https://openalex.org/W2774018344","https://openalex.org/W2774644650","https://openalex.org/W2798302089","https://openalex.org/W2912447214","https://openalex.org/W2918288556","https://openalex.org/W2947947498","https://openalex.org/W2951523806","https://openalex.org/W2962872506","https://openalex.org/W2963073614","https://openalex.org/W2963100962","https://openalex.org/W2963118571","https://openalex.org/W2963165363","https://openalex.org/W2963448658","https://openalex.org/W2963612069","https://openalex.org/W2963771536","https://openalex.org/W2963857521","https://openalex.org/W2964082701","https://openalex.org/W2982104318","https://openalex.org/W2986674980","https://openalex.org/W2995873665","https://openalex.org/W2997233328","https://openalex.org/W3010484564","https://openalex.org/W3013195703","https://openalex.org/W3034412497","https://openalex.org/W3095585295","https://openalex.org/W3103557498","https://openalex.org/W3106412272","https://openalex.org/W3109062656"],"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/W4287828318","https://openalex.org/W2950183588","https://openalex.org/W2406556600","https://openalex.org/W4380352238","https://openalex.org/W4293054861"],"abstract_inverted_index":{"With":[0],"the":[1,22,49,61,91,105,149,159],"rising":[2],"trends":[3],"and":[4,12,24,80,115,141,161],"use":[5,106],"of":[6,107,138,151,163],"machine":[7,35],"learning":[8,16,36,71,165],"algorithms":[9],"for":[10],"classification":[11],"regression":[13],"tasks,":[14],"deep":[15,70,164],"has":[17,72],"been":[18],"widely":[19],"accepted":[20],"in":[21,60,69,90],"Cyber":[23],"as":[25,27,39,54,56],"well":[26,55],"non-Cyber":[28],"Domain.":[29],"Recent":[30],"researches":[31],"have":[32],"shown":[33],"that":[34,74],"classifiers":[37,76],"such":[38],"Deep":[40],"Neural":[41],"Networks":[42],"(DNN)":[43],"can":[44,81],"be":[45,82],"used":[46],"to":[47,57,111,147,157],"improve":[48],"detection":[50],"against":[51,118],"adversarial":[52,109,139],"samples":[53],"detect":[58],"malware":[59],"cyber":[62],"security":[63,160],"domain.":[64],"However,":[65],"a":[66,100,135],"recent":[67],"study":[68],"found":[73],"DNN":[75],"are":[77],"highly":[78],"vulnerable":[79],"evaded":[83],"simply":[84],"by":[85,130],"either":[86],"performing":[87],"small":[88],"modifications":[89],"training":[92,95],"model":[93],"or":[94],"data.":[96],"The":[97],"work":[98,155],"proposed":[99,142],"randomized":[101],"defensive":[102,131],"mechanism":[103],"with":[104],"generative":[108],"networks":[110],"construct":[112],"more":[113],"adversaries":[114],"then":[116],"defend":[117],"them.":[119],"Interestingly,":[120],"we":[121],"encountered":[122],"some":[123],"open":[124],"challenges":[125],"highlighting":[126],"common":[127],"difficulties":[128],"faced":[129],"mechanisms.":[132],"We":[133],"provide":[134],"general":[136],"overview":[137],"attacks":[140],"an":[143],"Adaptive":[144],"Randomized":[145],"Algorithm":[146],"enhance":[148],"robustness":[150],"models.":[152],"Moreover,":[153],"this":[154],"aimed":[156],"ensure":[158],"transferability":[162],"classifiers.":[166]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
