{"id":"https://openalex.org/W7204698771","doi":"https://doi.org/10.1016/j.sysarc.2026.103979","title":"Robust detection of feature-space adversarial attacks in distributed edge inference using cascade Mahalanobis models","display_name":"Robust detection of feature-space adversarial attacks in distributed edge inference using cascade Mahalanobis models","publication_year":2026,"publication_date":"2026-08-30","ids":{"openalex":"https://openalex.org/W7204698771","doi":"https://doi.org/10.1016/j.sysarc.2026.103979"},"language":"en","primary_location":{"id":"doi:10.1016/j.sysarc.2026.103979","doi":"https://doi.org/10.1016/j.sysarc.2026.103979","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.sysarc.2026.103979","pdf_url":null,"source":{"id":"https://openalex.org/S127660348","display_name":"Journal of Systems Architecture","issn_l":"1383-7621","issn":["1383-7621","1873-6165"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","ccf-b","cwts-core","dongbi-d","jufo-2","norway-1","poland-70","russia-white-list-1"],"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Systems Architecture","raw_type":"journal-article"},"volume":null,"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1016/j.sysarc.2026.103979","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5027426623","display_name":"Arash Golabi","orcid":"https://orcid.org/0000-0001-6399-6835","observed_orcids":["https://orcid.org/0000-0001-6399-6835"]},"institutions":[{"id":"https://openalex.org/I60342839","display_name":"Qatar University","ror":"https://ror.org/00yhnba62","country_code":"QA","type":"education","lineage":["https://openalex.org/I60342839"]}],"countries":["QA"],"is_corresponding":true,"raw_author_name":"Arash Golabi","raw_affiliation_strings":["Department of Computer Science and Engineering, College of Engineering, Qatar University, Doha, 2713, Qatar"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, College of Engineering, Qatar University, Doha, 2713, Qatar","institution_ids":["https://openalex.org/I60342839"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057643629","display_name":"Abdelkarim Erradi","orcid":"https://orcid.org/0000-0002-8333-3454","observed_orcids":["https://orcid.org/0000-0002-8333-3454"]},"institutions":[{"id":"https://openalex.org/I60342839","display_name":"Qatar University","ror":"https://ror.org/00yhnba62","country_code":"QA","type":"education","lineage":["https://openalex.org/I60342839"]}],"countries":["QA"],"is_corresponding":false,"raw_author_name":"Abdelkarim Erradi","raw_affiliation_strings":["Department of Computer Science and Engineering, College of Engineering, Qatar University, Doha, 2713, Qatar"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, College of Engineering, Qatar University, Doha, 2713, Qatar","institution_ids":["https://openalex.org/I60342839"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056557980","display_name":"Ahmed Ben Said","orcid":"https://orcid.org/0000-0002-7760-8132","observed_orcids":["https://orcid.org/0000-0002-7760-8132"]},"institutions":[{"id":"https://openalex.org/I60342839","display_name":"Qatar University","ror":"https://ror.org/00yhnba62","country_code":"QA","type":"education","lineage":["https://openalex.org/I60342839"]}],"countries":["QA"],"is_corresponding":false,"raw_author_name":"Ahmed Bensaid","raw_affiliation_strings":["Student Data Analytics, Assessment and Planning, Student Affairs Sector, Qatar University, Doha, 2713, Qatar"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Student Data Analytics, Assessment and Planning, Student Affairs Sector, Qatar University, Doha, 2713, Qatar","institution_ids":["https://openalex.org/I60342839"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5121816733","display_name":"Abdulla Al-Ali","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I60342839","display_name":"Qatar University","ror":"https://ror.org/00yhnba62","country_code":"QA","type":"education","lineage":["https://openalex.org/I60342839"]}],"countries":["QA"],"is_corresponding":false,"raw_author_name":"Abdulla Al-Ali","raw_affiliation_strings":["Department of Computer Science and Engineering, College of Engineering, Qatar University, Doha, 2713, Qatar"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, College of Engineering, Qatar University, Doha, 2713, Qatar","institution_ids":["https://openalex.org/I60342839"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5146839302","display_name":"Uvais Qidwai","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I60342839","display_name":"Qatar University","ror":"https://ror.org/00yhnba62","country_code":"QA","type":"education","lineage":["https://openalex.org/I60342839"]}],"countries":["QA"],"is_corresponding":false,"raw_author_name":"Uvais Qidwai","raw_affiliation_strings":["Department of Computer Science and Engineering, College of Engineering, Qatar University, Doha, 2713, Qatar"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, College of Engineering, Qatar University, Doha, 2713, Qatar","institution_ids":["https://openalex.org/I60342839"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5027426623"],"corresponding_institution_ids":["https://openalex.org/I60342839"],"apc_list":{"value":2540,"currency":"USD","value_usd":2540},"apc_paid":{"value":2540,"currency":"USD","value_usd":2540},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.68515487,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"180","issue":null,"first_page":"103979","last_page":"103979"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9984999895095825,"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":0.9984999895095825,"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/T10400","display_name":"Network Security and Intrusion Detection","score":0.0003000000142492354,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T11424","display_name":"Security and Verification in Computing","score":0.00019999999494757503,"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-attack-detection","display_name":"adversarial attack detection","score":0.9300000071525574},{"id":"https://openalex.org/keywords/mahalanobis-distance","display_name":"Mahalanobis distance","score":0.9390000104904175},{"id":"https://openalex.org/keywords/model-partitioning","display_name":"model partitioning","score":0.515999972820282},{"id":"https://openalex.org/keywords/communication-noise","display_name":"communication noise","score":0.44999998807907104},{"id":"https://openalex.org/keywords/quantization","display_name":"quantization","score":0.7900000214576721},{"id":"https://openalex.org/keywords/covariance-shrinkage","display_name":"covariance shrinkage","score":0.9139999747276306},{"id":"https://openalex.org/keywords/feature-normalization","display_name":"feature normalization","score":0.6869999766349792},{"id":"https://openalex.org/keywords/lightweight-neural-networks","display_name":"lightweight neural networks","score":0.4779999852180481},{"id":"https://openalex.org/keywords/transformer","display_name":"transformer models","score":0.4359999895095825}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.9075999855995178},{"id":"https://openalex.org/C1921717","wikidata":"https://www.wikidata.org/wiki/Q1334846","display_name":"Mahalanobis distance","level":2,"score":0.7825000286102295},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.7523000240325928},{"id":"https://openalex.org/C34146451","wikidata":"https://www.wikidata.org/wiki/Q5048094","display_name":"Cascade","level":2,"score":0.6190999746322632},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5616999864578247},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5085999965667725},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.4465000033378601},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.38679999113082886},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.36800000071525574},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.34950000047683716},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.31690001487731934},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2773999869823456},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.2703000009059906},{"id":"https://openalex.org/C193536780","wikidata":"https://www.wikidata.org/wiki/Q1513153","display_name":"Edge detection","level":4,"score":0.2554999887943268}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1016/j.sysarc.2026.103979","doi":"https://doi.org/10.1016/j.sysarc.2026.103979","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.sysarc.2026.103979","pdf_url":null,"source":{"id":"https://openalex.org/S127660348","display_name":"Journal of Systems Architecture","issn_l":"1383-7621","issn":["1383-7621","1873-6165"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","ccf-b","cwts-core","dongbi-d","jufo-2","norway-1","poland-70","russia-white-list-1"],"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Systems Architecture","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1016/j.sysarc.2026.103979","doi":"https://doi.org/10.1016/j.sysarc.2026.103979","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.sysarc.2026.103979","pdf_url":null,"source":{"id":"https://openalex.org/S127660348","display_name":"Journal of Systems Architecture","issn_l":"1383-7621","issn":["1383-7621","1873-6165"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","ccf-b","cwts-core","dongbi-d","jufo-2","norway-1","poland-70","russia-white-list-1"],"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Systems Architecture","raw_type":"journal-article"},"sustainable_development_goals":[],"sustainable_development_goals_aurora":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.4150104820728302}],"study_designs":[],"awards":[{"id":"https://openalex.org/G3745358256","display_name":null,"funder_award_id":"NPRP14S-0413-210206","funder_id":"https://openalex.org/F4320332753","funder_display_name":"Qatar National Research Fund"}],"funders":[{"id":"https://openalex.org/F4320332753","display_name":"Qatar National Research Fund","ror":"https://ror.org/01svaqq28"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W2122646361","https://openalex.org/W2516574342","https://openalex.org/W2777406049","https://openalex.org/W2962814013","https://openalex.org/W2972087877","https://openalex.org/W3031571129","https://openalex.org/W3110777925","https://openalex.org/W3154485123","https://openalex.org/W3194400333","https://openalex.org/W3214462705","https://openalex.org/W4210839873","https://openalex.org/W4307125272","https://openalex.org/W4312588618","https://openalex.org/W4313191770","https://openalex.org/W4319300189","https://openalex.org/W4381620519","https://openalex.org/W4390776951","https://openalex.org/W4396558232","https://openalex.org/W4396605148","https://openalex.org/W4398146107","https://openalex.org/W4405179094","https://openalex.org/W4409058576","https://openalex.org/W4410476888","https://openalex.org/W4410967580","https://openalex.org/W4414082927","https://openalex.org/W4414196903","https://openalex.org/W4414711866","https://openalex.org/W4414871518","https://openalex.org/W4414999705","https://openalex.org/W4415043004","https://openalex.org/W4415820321","https://openalex.org/W7118029818","https://openalex.org/W7133694091"],"related_works":[],"abstract_inverted_index":{"Artificial":[0],"Intelligence":[1],"of":[2,78,200],"Things":[3],"(AIoT)":[4],"applications":[5],"rely":[6],"on":[7,74],"distributed":[8,71],"edge":[9,16,19],"inference,":[10],"where":[11,121],"models":[12],"are":[13,51,86,115],"partitioned":[14],"across":[15,155],"devices":[17],"and":[18,25,58,98,105,128,143,151,175,185,193,196,207],"cloud":[20],"nodes":[21],"to":[22,190,204],"meet":[23],"latency":[24],"resource":[26],"constraints.":[27],"This":[28,61],"exposes":[29],"intermediate":[30],"feature":[31,81,103,152],"representations":[32],"transmitted":[33],"over":[34],"IoT":[35],"networks,":[36],"creating":[37],"vulnerabilities":[38],"at":[39],"partition":[40],"boundaries.":[41],"Detecting":[42],"such":[43],"feature-space":[44],"attacks":[45,174],"is":[46,137],"challenging":[47],"because":[48],"boundary":[49,80],"tensors":[50],"also":[52],"affected":[53],"by":[54],"quantization,":[55,148],"communication":[56],"noise,":[57,150],"device":[59],"variability.":[60],"paper":[62],"proposes":[63],"a":[64,88,99,118],"lightweight":[65,191],"statistical":[66],"monitoring":[67],"framework":[68,136,203],"for":[69,94,108],"securing":[70],"inference":[72],"based":[73],"Mahalanobis":[75,92],"distance":[76],"modeling":[77],"clean":[79],"statistics.":[82],"Two":[83],"complementary":[84],"detectors":[85,114],"developed:":[87],"computationally":[89],"efficient":[90],"diagonal":[91],"detector":[93],"fast":[95],"anomaly":[96],"screening,":[97],"robust":[100],"variant":[101],"with":[102],"normalization":[104],"covariance":[106],"shrinkage":[107],"improved":[109],"reliability":[110],"under":[111,139,176],"distortions.":[112],"These":[113],"combined":[116],"in":[117],"cascade":[119],"design":[120],"the":[122,129,160,188,198,201],"first":[123],"stage":[124,131],"filters":[125],"easy":[126],"samples":[127],"second":[130],"refines":[132],"uncertain":[133],"cases.":[134],"The":[135],"evaluated":[138],"channel-sparse":[140],"black-box":[141],"perturbations":[142],"realistic":[144],"deployment":[145],"impairments":[146],"including":[147],"additive":[149],"dropout.":[153],"Experiments":[154],"multiple":[156],"architectures":[157,195],"demonstrate":[158],"that":[159],"proposed":[161,202],"approach":[162],"maintains":[163],"controlled":[164],"false-positive":[165],"rates":[166],"while":[167],"achieving":[168],"strong":[169],"detection":[170],"performance":[171],"against":[172],"optimized":[173],"non-ideal":[177],"transmission":[178],"conditions.":[179],"Additional":[180],"evaluations":[181],"using":[182],"MobileNetV3-Large,":[183],"EfficientNet-Lite0,":[184],"ViT-Tiny":[186],"extend":[187],"analysis":[189],"convolutional":[192],"transformer-based":[194],"examine":[197],"sensitivity":[199],"architecture":[205],"family":[206],"collaboration":[208],"boundary.":[209]},"counts_by_year":[],"updated_date":"2026-10-12T09:40:04.860316","created_date":"2026-08-31T00:00:00"}
