{"id":"https://openalex.org/W4408345833","doi":"https://doi.org/10.1109/icassp49660.2025.10890846","title":"Fading-Invariant Adversarial Attacks on Neural Modulation Recognition","display_name":"Fading-Invariant Adversarial Attacks on Neural Modulation Recognition","publication_year":2025,"publication_date":"2025-03-12","ids":{"openalex":"https://openalex.org/W4408345833","doi":"https://doi.org/10.1109/icassp49660.2025.10890846"},"language":"en","primary_location":{"id":"doi:10.1109/icassp49660.2025.10890846","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49660.2025.10890846","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5054237225","display_name":"Xinze Zhang","orcid":"https://orcid.org/0009-0004-2700-8413"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xinze Zhang","raw_affiliation_strings":["Huazhong University of Science and Technology,School of Computer Science and Technology,Wuhan,China"],"affiliations":[{"raw_affiliation_string":"Huazhong University of Science and Technology,School of Computer Science and Technology,Wuhan,China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Dengao Zhu","orcid":null},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dengao Zhu","raw_affiliation_strings":["Huazhong University of Science and Technology,School of Computer Science and Technology,Wuhan,China"],"affiliations":[{"raw_affiliation_string":"Huazhong University of Science and Technology,School of Computer Science and Technology,Wuhan,China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053346543","display_name":"Xiyao Dong","orcid":null},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiyao Dong","raw_affiliation_strings":["Huazhong University of Science and Technology,School of Computer Science and Technology,Wuhan,China"],"affiliations":[{"raw_affiliation_string":"Huazhong University of Science and Technology,School of Computer Science and Technology,Wuhan,China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5033526822","display_name":"Kun He","orcid":"https://orcid.org/0000-0001-7627-4604"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kun He","raw_affiliation_strings":["Huazhong University of Science and Technology,School of Computer Science and Technology,Wuhan,China"],"affiliations":[{"raw_affiliation_string":"Huazhong University of Science and Technology,School of Computer Science and Technology,Wuhan,China","institution_ids":["https://openalex.org/I47720641"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5054237225"],"corresponding_institution_ids":["https://openalex.org/I47720641"],"apc_list":null,"apc_paid":null,"fwci":4.4566,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.93508101,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12131","display_name":"Wireless Signal Modulation Classification","score":0.9890000224113464,"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":0.9890000224113464,"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":0.9728000164031982,"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/T14117","display_name":"Integrated Circuits and Semiconductor Failure Analysis","score":0.9609000086784363,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/fading","display_name":"Fading","score":0.7113333940505981},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5943979024887085},{"id":"https://openalex.org/keywords/invariant","display_name":"Invariant (physics)","score":0.5795798301696777},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.5762078166007996},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.43238216638565063},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4219321012496948},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.39707255363464355},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.34501153230667114},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21329042315483093},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.170207679271698},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.0709477961063385}],"concepts":[{"id":"https://openalex.org/C81978471","wikidata":"https://www.wikidata.org/wiki/Q1196572","display_name":"Fading","level":3,"score":0.7113333940505981},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5943979024887085},{"id":"https://openalex.org/C190470478","wikidata":"https://www.wikidata.org/wiki/Q2370229","display_name":"Invariant (physics)","level":2,"score":0.5795798301696777},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.5762078166007996},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.43238216638565063},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4219321012496948},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.39707255363464355},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.34501153230667114},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21329042315483093},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.170207679271698},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.0709477961063385},{"id":"https://openalex.org/C37914503","wikidata":"https://www.wikidata.org/wiki/Q156495","display_name":"Mathematical physics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp49660.2025.10890846","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49660.2025.10890846","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W2272847350","https://openalex.org/W2888024549","https://openalex.org/W3023683268","https://openalex.org/W3032977069","https://openalex.org/W3047492485","https://openalex.org/W3213282580","https://openalex.org/W4205172454","https://openalex.org/W4224920283","https://openalex.org/W4293846201","https://openalex.org/W4295308277","https://openalex.org/W4323338327","https://openalex.org/W4360930839","https://openalex.org/W4375869042","https://openalex.org/W4386469832","https://openalex.org/W4392904490","https://openalex.org/W4402351694","https://openalex.org/W6631190155","https://openalex.org/W6640425456"],"related_works":["https://openalex.org/W2502115930","https://openalex.org/W2327053383","https://openalex.org/W2482350142","https://openalex.org/W4246396837","https://openalex.org/W3126451824","https://openalex.org/W2356834760","https://openalex.org/W1964600846","https://openalex.org/W1561927205","https://openalex.org/W3191453585","https://openalex.org/W4297672492"],"abstract_inverted_index":{"Despite":[0],"significant":[1],"advances":[2],"in":[3,13,25,41,136],"Deep":[4],"Neural":[5,9,74],"Networks":[6],"(DNNs)":[7],"for":[8,62],"Modulation":[10],"Recognition":[11],"(NMR)":[12],"wireless":[14,27,68],"communications,":[15],"recent":[16],"research":[17],"highlights":[18],"their":[19],"vulnerability":[20],"to":[21,37,78,108],"adversarial":[22,30,63,91,125],"attacks.":[23],"However,":[24],"practical":[26],"communication":[28],"scenarios,":[29],"signals":[31,92],"transmitted":[32,112],"by":[33,84],"attackers":[34],"are":[35],"subject":[36],"channel":[38,69,85,142],"effects,":[39,86],"resulting":[40],"random":[42,81],"fading":[43,117],"at":[44],"the":[45,80,89,95,111,116,121],"receiver,":[46],"which":[47],"diminishes":[48],"attack":[49],"effectiveness.":[50],"To":[51],"address":[52],"this":[53],"challenge,":[54],"we":[55,100],"propose":[56],"a":[57,73,102],"novel":[58],"Fading-Invariant":[59],"Method":[60],"(FIM)":[61],"attacks":[64],"on":[65],"NMR":[66,139],"under":[67,141],"effects.":[70,143],"FIM":[71],"leverages":[72],"Inverse":[75],"Model":[76],"(NIM)":[77],"counteract":[79],"transformations":[82],"introduced":[83],"ensuring":[87],"that":[88,130],"received":[90,124],"closely":[93],"resemble":[94],"originally":[96],"crafted":[97],"waveform.":[98],"Additionally,":[99],"devise":[101],"Transmit":[103],"Power":[104],"Estimation":[105],"(TPE)":[106],"method":[107,132],"appropriately":[109],"amplify":[110],"perturbation":[113],"power,":[114],"mitigating":[115],"effect":[118],"while":[119],"maintaining":[120],"imperceptibility":[122],"of":[123],"signals.":[126],"Extensive":[127],"experiments":[128],"demonstrate":[129],"our":[131],"outperforms":[133],"all":[134],"baselines":[135],"attacking":[137],"state-of-the-art":[138],"models":[140]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2025-10-10T00:00:00"}
