{"id":"https://openalex.org/W4411726174","doi":"https://doi.org/10.1109/tvt.2025.3583924","title":"Generative AI-Empowered Resilient Adaptive ISAC Against Adversarial Machine Learning Attacks","display_name":"Generative AI-Empowered Resilient Adaptive ISAC Against Adversarial Machine Learning Attacks","publication_year":2025,"publication_date":"2025-06-27","ids":{"openalex":"https://openalex.org/W4411726174","doi":"https://doi.org/10.1109/tvt.2025.3583924"},"language":"en","primary_location":{"id":"doi:10.1109/tvt.2025.3583924","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvt.2025.3583924","pdf_url":null,"source":{"id":"https://openalex.org/S10936095","display_name":"IEEE Transactions on Vehicular Technology","issn_l":"0018-9545","issn":["0018-9545","1939-9359"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Vehicular Technology","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/A5077337728","display_name":"Hamda Bouzabia","orcid":"https://orcid.org/0000-0002-9168-7359"},"institutions":[{"id":"https://openalex.org/I4210126406","display_name":"Xuzhou Construction Machinery Group (China)","ror":"https://ror.org/02y5rmj89","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210126406"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hamda Bouzabia","raw_affiliation_strings":["Resilient Machine Learning Institute (ReMI), &#x00C9;cole de Technologie Sup&#x00E9;rieure, Universit&#x00E9; du Qu&#x00E9;bec, Montr&#x00E9;al, QC, Canada","Resilient Machine Learning Institute (ReMI) of the &#x00C9;cole de Technologie Sup&#x00E9;rieure (&#x00C9;TS), Universit&#x00E9; du Qu&#x00E9;bec, Montr&#x00E9;al, QC, Canada"],"raw_orcid":"https://orcid.org/0000-0002-9168-7359","affiliations":[{"raw_affiliation_string":"Resilient Machine Learning Institute (ReMI), &#x00C9;cole de Technologie Sup&#x00E9;rieure, Universit&#x00E9; du Qu&#x00E9;bec, Montr&#x00E9;al, QC, Canada","institution_ids":["https://openalex.org/I4210126406"]},{"raw_affiliation_string":"Resilient Machine Learning Institute (ReMI) of the &#x00C9;cole de Technologie Sup&#x00E9;rieure (&#x00C9;TS), Universit&#x00E9; du Qu&#x00E9;bec, Montr&#x00E9;al, QC, Canada","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026023278","display_name":"Tri Nhu","orcid":"https://orcid.org/0000-0002-9857-6723"},"institutions":[{"id":"https://openalex.org/I45683168","display_name":"Polytechnique Montr\u00e9al","ror":"https://ror.org/05f8d4e86","country_code":"CA","type":"education","lineage":["https://openalex.org/I45683168"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Tri Nhu Do","raw_affiliation_strings":["Department of Electrical Engineering, Polytechnique Montr&#x00E9;al, Montr&#x00E9;al, Canada","Dept. of Electrical Engineering, Polytechnique Montr&#x00E9;al, Canada"],"raw_orcid":"https://orcid.org/0000-0002-9857-6723","affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Polytechnique Montr&#x00E9;al, Montr&#x00E9;al, Canada","institution_ids":["https://openalex.org/I45683168"]},{"raw_affiliation_string":"Dept. of Electrical Engineering, Polytechnique Montr&#x00E9;al, Canada","institution_ids":["https://openalex.org/I45683168"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032243366","display_name":"Georges Kaddoum","orcid":"https://orcid.org/0000-0002-5025-6624"},"institutions":[{"id":"https://openalex.org/I4210126406","display_name":"Xuzhou Construction Machinery Group (China)","ror":"https://ror.org/02y5rmj89","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210126406"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Georges Kaddoum","raw_affiliation_strings":["Resilient Machine Learning Institute (ReMI), &#x00C9;cole de Technologie Sup&#x00E9;rieure, Universit&#x00E9; du Qu&#x00E9;bec, Montr&#x00E9;al, QC, Canada","Resilient Machine Learning Institute (ReMI) of the &#x00C9;cole de Technologie Sup&#x00E9;rieure (&#x00C9;TS), Universit&#x00E9; du Qu&#x00E9;bec, Montr&#x00E9;al, QC, Canada"],"raw_orcid":"https://orcid.org/0000-0002-5025-6624","affiliations":[{"raw_affiliation_string":"Resilient Machine Learning Institute (ReMI), &#x00C9;cole de Technologie Sup&#x00E9;rieure, Universit&#x00E9; du Qu&#x00E9;bec, Montr&#x00E9;al, QC, Canada","institution_ids":["https://openalex.org/I4210126406"]},{"raw_affiliation_string":"Resilient Machine Learning Institute (ReMI) of the &#x00C9;cole de Technologie Sup&#x00E9;rieure (&#x00C9;TS), Universit&#x00E9; du Qu&#x00E9;bec, Montr&#x00E9;al, QC, Canada","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.7588,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.87207177,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":"74","issue":"12","first_page":"18984","last_page":"19000"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9991000294685364,"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":0.9991000294685364,"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":0.972599983215332,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9700999855995178,"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":0.7594547271728516},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6439695358276367},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.5832063555717468},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5323351621627808},{"id":"https://openalex.org/keywords/adversarial-machine-learning","display_name":"Adversarial machine learning","score":0.48588889837265015},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4352586269378662}],"concepts":[{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.7594547271728516},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6439695358276367},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.5832063555717468},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5323351621627808},{"id":"https://openalex.org/C2778403875","wikidata":"https://www.wikidata.org/wiki/Q20312394","display_name":"Adversarial machine learning","level":3,"score":0.48588889837265015},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4352586269378662}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tvt.2025.3583924","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvt.2025.3583924","pdf_url":null,"source":{"id":"https://openalex.org/S10936095","display_name":"IEEE Transactions on Vehicular Technology","issn_l":"0018-9545","issn":["0018-9545","1939-9359"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Vehicular Technology","raw_type":"journal-article"},{"id":"pmh:oai:publications.polymtl.ca:66388","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4306401013","display_name":"PolyPublie (\u00c9cole Polytechnique de Montr\u00e9al)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I45683168","host_organization_name":"Polytechnique Montr\u00e9al","host_organization_lineage":["https://openalex.org/I45683168"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"PeerReviewed"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Climate action","id":"https://metadata.un.org/sdg/13","score":0.4000000059604645}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W3048732067","https://openalex.org/W4383468834","https://openalex.org/W2961085424","https://openalex.org/W4283221438","https://openalex.org/W2900159906","https://openalex.org/W4384648009","https://openalex.org/W4306674287","https://openalex.org/W4287828318","https://openalex.org/W2406556600","https://openalex.org/W4380352238"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3,103],"present":[4],"a":[5,62,69],"novel":[6],"resilient":[7],"adaptive":[8,106],"integrated":[9],"sensing":[10],"and":[11,33,121,130,162,186,199,216,223],"communication":[12],"(RAd-ISAC)":[13],"framework.":[14],"It":[15],"aims":[16],"to":[17,26,47,116,172,213],"enhance":[18],"ISAC":[19,101,120,174,180,211],"systems":[20,24,212],"for":[21],"advanced":[22],"driver-assistance":[23],"(ADASs)":[25],"mitigate":[27],"adversarial":[28,64,147],"machine":[29],"learning":[30],"(AML)":[31],"threats":[32],"improve":[34],"resource":[35,57,98],"efficiency.":[36,224],"AML":[37,80,94,127,167,214],"attacks":[38,215],"target":[39,52],"ADASs":[40],"by":[41,83],"injecting":[42],"false":[43,133],"Range-Doppler":[44],"maps":[45],"(RDMs)":[46],"mislead":[48],"the":[49,90,93,112,126,192],"system":[50],"about":[51],"vehicles":[53],"(TVs),":[54],"resulting":[55],"in":[56,100,166,219],"inefficiency.":[58],"Our":[59,151],"approach":[60],"introduces":[61],"generative":[63],"network":[65],"(GAN)":[66],"equipped":[67],"with":[68,142],"differentiable":[70],"Kolmogorov-Smirnov":[71],"(KS)":[72],"loss":[73],"function,":[74],"termed":[75],"KSGAN.":[76],"This":[77,110,204],"significantly":[78],"enhances":[79],"attack":[81],"detection":[82],"generating":[84],"highly":[85],"realistic":[86],"RDM":[87],"samples,":[88],"improving":[89],"robustness":[91,148],"of":[92,210],"detector.":[95],"To":[96],"optimize":[97],"allocation":[99],"systems,":[102],"propose":[104],"an":[105,207],"signal":[107],"transmission":[108],"method.":[109],"allows":[111],"source":[113],"vehicle":[114,221],"(SV)":[115],"switch":[117],"dynamically":[118],"between":[119],"communication-only":[122],"signals":[123],"based":[124],"on":[125],"detector's":[128],"output":[129],"2D":[131],"constant":[132],"alarm":[134],"rate":[135],"(CFAR)":[136],"analyses.":[137],"We":[138],"conduct":[139],"extensive":[140],"simulations":[141],"synthetic":[143],"data":[144],"using":[145],"IBM's":[146],"toolbox":[149],"(ART).":[150],"results":[152],"show":[153],"that":[154],"KSGAN":[155],"outperforms":[156],"standard":[157],"GAN,":[158],"Wasserstein":[159],"GAN":[160,164],"(WGAN),":[161],"relational":[163],"(RGAN)":[165],"detection.":[168],"Additionally,":[169],"when":[170],"compared":[171],"other":[173],"designs,":[175],"including":[176],"standalone":[177],"ISAC,":[178],"Faster-than-Nyquist":[179],"(FTN-ISAC),":[181],"ISAC-accelerated":[182],"edge":[183],"intelligence":[184],"system,":[185],"hybrid-ISAC,":[187],"our":[188],"Rad-ISAC":[189],"framework":[190],"achieves":[191],"lowest":[193],"root":[194],"mean":[195],"square":[196],"error":[197],"(RMSE)":[198],"Cram\u00e9r-Rao":[200],"lower":[201],"bound":[202],"(CRLB).":[203],"work":[205],"highlights":[206],"unexplored":[208],"vulnerability":[209],"demonstrates":[217],"advancements":[218],"ADAS":[220],"safety":[222]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
