{"id":"https://openalex.org/W4390189530","doi":"https://doi.org/10.1109/milcom58377.2023.10356294","title":"Channel Aware Adversarial Attacks are Not Robust","display_name":"Channel Aware Adversarial Attacks are Not Robust","publication_year":2023,"publication_date":"2023-10-30","ids":{"openalex":"https://openalex.org/W4390189530","doi":"https://doi.org/10.1109/milcom58377.2023.10356294"},"language":"en","primary_location":{"id":"doi:10.1109/milcom58377.2023.10356294","is_oa":false,"landing_page_url":"https://doi.org/10.1109/milcom58377.2023.10356294","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"MILCOM 2023 - 2023 IEEE Military Communications Conference (MILCOM)","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/A5059959184","display_name":"Sujata Sinha","orcid":null},"institutions":[{"id":"https://openalex.org/I859038795","display_name":"Virginia Tech","ror":"https://ror.org/02smfhw86","country_code":"US","type":"education","lineage":["https://openalex.org/I859038795"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Sujata Sinha","raw_affiliation_strings":["Virginia Tech,Wireless@VT,Department of Electrical and Computer Engineering,Blacksburg,VA","Department of Electrical and Computer Engineering, Wireless@VT, Virginia Tech, Blacksburg, VA"],"affiliations":[{"raw_affiliation_string":"Virginia Tech,Wireless@VT,Department of Electrical and Computer Engineering,Blacksburg,VA","institution_ids":["https://openalex.org/I859038795"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Wireless@VT, Virginia Tech, Blacksburg, VA","institution_ids":["https://openalex.org/I859038795"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5025467715","display_name":"Alkan Soysal","orcid":"https://orcid.org/0000-0002-4923-4233"},"institutions":[{"id":"https://openalex.org/I859038795","display_name":"Virginia Tech","ror":"https://ror.org/02smfhw86","country_code":"US","type":"education","lineage":["https://openalex.org/I859038795"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Alkan Soysal","raw_affiliation_strings":["Virginia Tech,Wireless@VT,Department of Electrical and Computer Engineering,Blacksburg,VA","Department of Electrical and Computer Engineering, Wireless@VT, Virginia Tech, Blacksburg, VA"],"affiliations":[{"raw_affiliation_string":"Virginia Tech,Wireless@VT,Department of Electrical and Computer Engineering,Blacksburg,VA","institution_ids":["https://openalex.org/I859038795"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Wireless@VT, Virginia Tech, Blacksburg, VA","institution_ids":["https://openalex.org/I859038795"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5059959184"],"corresponding_institution_ids":["https://openalex.org/I859038795"],"apc_list":null,"apc_paid":null,"fwci":0.3497,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.67599352,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12131","display_name":"Wireless Signal Modulation Classification","score":0.9941999912261963,"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/T12131","display_name":"Wireless Signal Modulation Classification","score":0.9941999912261963,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.957099974155426,"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/fading","display_name":"Fading","score":0.7859330773353577},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.7443386912345886},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7355732321739197},{"id":"https://openalex.org/keywords/rayleigh-fading","display_name":"Rayleigh fading","score":0.7279863953590393},{"id":"https://openalex.org/keywords/path-loss","display_name":"Path loss","score":0.6984206438064575},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.6575964093208313},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.6509679555892944},{"id":"https://openalex.org/keywords/path","display_name":"Path (computing)","score":0.4414750039577484},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.43412625789642334},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.3855888247489929},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.30768296122550964},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.29449209570884705}],"concepts":[{"id":"https://openalex.org/C81978471","wikidata":"https://www.wikidata.org/wiki/Q1196572","display_name":"Fading","level":3,"score":0.7859330773353577},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7443386912345886},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7355732321739197},{"id":"https://openalex.org/C56985126","wikidata":"https://www.wikidata.org/wiki/Q854039","display_name":"Rayleigh fading","level":4,"score":0.7279863953590393},{"id":"https://openalex.org/C194273485","wikidata":"https://www.wikidata.org/wiki/Q1478845","display_name":"Path loss","level":3,"score":0.6984206438064575},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.6575964093208313},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.6509679555892944},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.4414750039577484},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.43412625789642334},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.3855888247489929},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.30768296122550964},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.29449209570884705},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/milcom58377.2023.10356294","is_oa":false,"landing_page_url":"https://doi.org/10.1109/milcom58377.2023.10356294","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"MILCOM 2023 - 2023 IEEE Military Communications Conference (MILCOM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W9657784","https://openalex.org/W595252221","https://openalex.org/W2272847350","https://openalex.org/W2734408173","https://openalex.org/W2773170971","https://openalex.org/W2888024549","https://openalex.org/W2963190722","https://openalex.org/W2964277700","https://openalex.org/W2968867107","https://openalex.org/W2986517689","https://openalex.org/W3047492485","https://openalex.org/W3087940812","https://openalex.org/W3103836116","https://openalex.org/W3133729763","https://openalex.org/W3177585635","https://openalex.org/W3185634836","https://openalex.org/W3193643066","https://openalex.org/W3195387997","https://openalex.org/W3212981375","https://openalex.org/W3213282580","https://openalex.org/W4313452705","https://openalex.org/W6640425456","https://openalex.org/W6917408469"],"related_works":["https://openalex.org/W2101999641","https://openalex.org/W2116044594","https://openalex.org/W1503152075","https://openalex.org/W301676527","https://openalex.org/W2052600062","https://openalex.org/W2124541664","https://openalex.org/W289296924","https://openalex.org/W2122920812","https://openalex.org/W2109988226","https://openalex.org/W2942696422"],"abstract_inverted_index":{"Adversarial":[0],"Machine":[1],"Learning":[2],"(AML)":[3],"has":[4,57],"shown":[5],"significant":[6],"success":[7,114],"when":[8],"applied":[9],"to":[10,42,79,127],"deep":[11],"learning":[12],"models":[13,27],"across":[14],"various":[15],"domains.":[16],"This":[17],"paper":[18],"explores":[19],"channel-aware":[20],"adversarial":[21,123],"attacks":[22,39,124],"on":[23,34,68],"DNN-based":[24],"modulation":[25],"classification":[26],"within":[28],"wireless":[29],"environments.":[30],"Our":[31,98],"investigation":[32],"focuses":[33],"the":[35,55,65,102,105,108,113],"robustness":[36],"of":[37,115],"these":[38],"with":[40,86,92],"respect":[41],"channel":[43,59,70],"distribution":[44],"and":[45,61,88,95,107],"path-loss":[46],"parameters.":[47],"We":[48],"examine":[49],"two":[50],"scenarios:":[51],"one":[52],"in":[53,63],"which":[54,64],"attacker":[56,66,106],"instantaneous":[58],"knowledge":[60],"another":[62],"relies":[67],"statistical":[69],"data.":[71],"In":[72],"both":[73,93],"cases,":[74],"we":[75],"study":[76],"channels":[77],"subject":[78],"Rayleigh":[80,83,89],"fading":[81,84,90],"alone,":[82],"combined":[85,91],"shadowing,":[87],"shadowing":[94],"path":[96],"loss.":[97],"findings":[99],"reveal":[100],"that":[101],"distance":[103,121],"between":[104],"legitimate":[109],"receiver":[110],"largely":[111],"dictates":[112],"an":[116],"AML":[117],"attack.":[118],"Without":[119],"precise":[120],"estimation,":[122],"are":[125],"likely":[126],"fail.":[128]},"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"}