{"id":"https://openalex.org/W7124426079","doi":"https://doi.org/10.1109/tvt.2026.3655029","title":"Robust Image Semantic Communication via Wavelet-Attentive JSCC Under Adversarial and Channel Perturbations","display_name":"Robust Image Semantic Communication via Wavelet-Attentive JSCC Under Adversarial and Channel Perturbations","publication_year":2026,"publication_date":"2026-01-16","ids":{"openalex":"https://openalex.org/W7124426079","doi":"https://doi.org/10.1109/tvt.2026.3655029"},"language":null,"primary_location":{"id":"doi:10.1109/tvt.2026.3655029","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvt.2026.3655029","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":null,"display_name":"Zhen Huang","orcid":"https://orcid.org/0009-0006-6499-0359"},"institutions":[{"id":"https://openalex.org/I4210145005","display_name":"State Key Laboratory of Vehicle NVH and Safety Technology","ror":"https://ror.org/04e6h1p91","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210145005"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhen Huang","raw_affiliation_strings":["School of Microelectronics and Communication Engineering, Chongqing University, and the State Key Laboratory of Intelligent Vehicle Safety Technology, Chongqing, China"],"raw_orcid":"https://orcid.org/0009-0006-6499-0359","affiliations":[{"raw_affiliation_string":"School of Microelectronics and Communication Engineering, Chongqing University, and the State Key Laboratory of Intelligent Vehicle Safety Technology, Chongqing, China","institution_ids":["https://openalex.org/I4210145005"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Yunjian Jia","orcid":"https://orcid.org/0000-0002-6404-0947"},"institutions":[{"id":"https://openalex.org/I4210145005","display_name":"State Key Laboratory of Vehicle NVH and Safety Technology","ror":"https://ror.org/04e6h1p91","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210145005"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yunjian Jia","raw_affiliation_strings":["School of Microelectronics and Communication Engineering, Chongqing University, and the State Key Laboratory of Intelligent Vehicle Safety Technology, Chongqing, China"],"raw_orcid":"https://orcid.org/0000-0002-6404-0947","affiliations":[{"raw_affiliation_string":"School of Microelectronics and Communication Engineering, Chongqing University, and the State Key Laboratory of Intelligent Vehicle Safety Technology, Chongqing, China","institution_ids":["https://openalex.org/I4210145005"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Wanli Wen","orcid":"https://orcid.org/0000-0003-3810-8466"},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wanli Wen","raw_affiliation_strings":["School of Microelectronics and Communication Engineering, Chongqing University, Chongqing, China"],"raw_orcid":"https://orcid.org/0000-0003-3810-8466","affiliations":[{"raw_affiliation_string":"School of Microelectronics and Communication Engineering, Chongqing University, Chongqing, China","institution_ids":["https://openalex.org/I158842170"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070820876","display_name":"Qingqing Li","orcid":"https://orcid.org/0000-0002-9006-3552"},"institutions":[{"id":"https://openalex.org/I4210145005","display_name":"State Key Laboratory of Vehicle NVH and Safety Technology","ror":"https://ror.org/04e6h1p91","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210145005"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qingqing Li","raw_affiliation_strings":["State Key Laboratory of Intelligent Vehicle Safety Technology and China Automotive Engineering Research Institute Company, Ltd, Chongqing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Intelligent Vehicle Safety Technology and China Automotive Engineering Research Institute Company, Ltd, Chongqing, China","institution_ids":["https://openalex.org/I4210145005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100426918","display_name":"Liang Liang","orcid":"https://orcid.org/0000-0002-2778-455X"},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liang Liang","raw_affiliation_strings":["School of Microelectronics and Communication Engineering, Chongqing University, Chongqing, China"],"raw_orcid":"https://orcid.org/0000-0002-2778-455X","affiliations":[{"raw_affiliation_string":"School of Microelectronics and Communication Engineering, Chongqing University, Chongqing, China","institution_ids":["https://openalex.org/I158842170"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5123200906","display_name":"Xinyue Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinyue Liu","raw_affiliation_strings":["School of Microelectronics and Communication Engineering, Chongqing University, Chongqing, China"],"raw_orcid":"https://orcid.org/0009-0005-1949-9707","affiliations":[{"raw_affiliation_string":"School of Microelectronics and Communication Engineering, Chongqing University, Chongqing, China","institution_ids":["https://openalex.org/I158842170"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.06674576,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"75","issue":"7","first_page":"15193","last_page":"15197"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12131","display_name":"Wireless Signal Modulation Classification","score":0.9383999705314636,"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":0.9383999705314636,"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":0.03350000083446503,"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/T10964","display_name":"Wireless Communication Security Techniques","score":0.010900000110268593,"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/robustness","display_name":"Robustness (evolution)","score":0.6039000153541565},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.44200000166893005},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.43470001220703125},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.4262999892234802},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.4203000068664551},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.41659998893737793},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.40959998965263367},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4004000127315521},{"id":"https://openalex.org/keywords/semantic-feature","display_name":"Semantic feature","score":0.32710000872612}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7791000008583069},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6039000153541565},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4778999984264374},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.44200000166893005},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.43470001220703125},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.4262999892234802},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.4203000068664551},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.41659998893737793},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.40959998965263367},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4004000127315521},{"id":"https://openalex.org/C2781122975","wikidata":"https://www.wikidata.org/wiki/Q16928266","display_name":"Semantic feature","level":2,"score":0.32710000872612},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.3260999917984009},{"id":"https://openalex.org/C160562895","wikidata":"https://www.wikidata.org/wiki/Q7239557","display_name":"Precoding","level":4,"score":0.3199000060558319},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.2976999878883362},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.29319998621940613},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.2867000102996826},{"id":"https://openalex.org/C101765175","wikidata":"https://www.wikidata.org/wiki/Q577764","display_name":"Communications system","level":2,"score":0.27649998664855957},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.273499995470047},{"id":"https://openalex.org/C32022120","wikidata":"https://www.wikidata.org/wiki/Q797225","display_name":"Interference (communication)","level":3,"score":0.27320000529289246},{"id":"https://openalex.org/C29265498","wikidata":"https://www.wikidata.org/wiki/Q7047719","display_name":"Noise measurement","level":3,"score":0.27160000801086426},{"id":"https://openalex.org/C90312973","wikidata":"https://www.wikidata.org/wiki/Q7449052","display_name":"Semantic data model","level":2,"score":0.26750001311302185},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.26330000162124634},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.2621000111103058},{"id":"https://openalex.org/C148063708","wikidata":"https://www.wikidata.org/wiki/Q5072511","display_name":"Channel state information","level":3,"score":0.257099986076355},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2563999891281128},{"id":"https://openalex.org/C204806902","wikidata":"https://www.wikidata.org/wiki/Q2333581","display_name":"Semantic security","level":5,"score":0.25619998574256897},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.25119999051094055},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.250900000333786},{"id":"https://openalex.org/C510870077","wikidata":"https://www.wikidata.org/wiki/Q7444868","display_name":"Secure communication","level":3,"score":0.25060001015663147}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tvt.2026.3655029","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvt.2026.3655029","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"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/8","score":0.6076278686523438,"display_name":"Decent work and economic growth"}],"awards":[{"id":"https://openalex.org/G2333486624","display_name":null,"funder_award_id":"62571072","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5120135775","display_name":null,"funder_award_id":"2023CDJKYJH014","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G5282287407","display_name":null,"funder_award_id":"CSTB2023NSCQ-LZX0079","funder_id":"https://openalex.org/F4320323172","funder_display_name":"Natural Science Foundation of Chongqing"},{"id":"https://openalex.org/G5940387790","display_name":null,"funder_award_id":"6257107","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320323172","display_name":"Natural Science Foundation of Chongqing","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Semantic":[0],"communication":[1,51,119],"receives":[2],"significant":[3],"attention":[4,71,94],"for":[5,115],"its":[6],"ability":[7],"to":[8,25,33,80,110],"efficiently":[9],"transmit":[10],"meaningful":[11],"information":[12],"rather":[13],"than":[14],"pursuing":[15],"bit-level":[16],"accuracy,":[17],"thereby":[18],"minimizing":[19],"resource":[20],"consumption.":[21],"However,":[22],"in":[23,42,145],"addition":[24],"wireless":[26,124],"channel":[27,55,105,125],"interference,":[28],"this":[29,63],"paradigm":[30],"is":[31],"vulnerable":[32],"semantic":[34,83,99,118,150,158],"impairments":[35],"caused":[36],"by":[37],"adversarial":[38,87,121],"attacks.":[39],"Recent":[40],"advances":[41],"deep":[43],"learning-based":[44],"Joint":[45],"Source-Channel":[46],"Coding":[47],"(JSCC)":[48],"significantly":[49],"improve":[50],"robustness":[52],"against":[53],"physical":[54],"noise":[56],"but":[57],"often":[58],"overlook":[59],"semantic-level":[60],"perturbations.":[61],"In":[62],"paper,":[64],"we":[65],"propose":[66],"a":[67,92,112],"wavelet":[68,78],"transform":[69],"frequency-domain":[70],"feature":[72,100],"(WTAF)":[73],"module,":[74],"which":[75],"employs":[76],"multilevel":[77],"decomposition":[79],"effectively":[81],"separate":[82,142],"structures":[84],"from":[85],"high-frequency":[86],"noise.":[88],"It":[89],"also":[90],"incorporates":[91],"channel-aware":[93],"mechanism":[95],"that":[96,131],"dynamically":[97],"adapts":[98],"extraction":[101],"based":[102],"on":[103],"real-time":[104],"conditions.":[106,127],"We":[107],"integrate":[108],"WTAF":[109],"design":[111],"JSCC":[113,134,138],"model":[114],"robust":[116],"image":[117],"under":[120,156],"interference":[122,126],"and":[123,140,152],"Simulation":[128],"results":[129],"show":[130],"the":[132],"proposed":[133],"scheme":[135],"outperforms":[136],"existing":[137],"models":[139],"traditional":[141],"source-channel":[143],"coding":[144],"terms":[146],"of":[147],"reconstruction":[148],"quality,":[149],"integrity,":[151],"overall":[153],"robustness,":[154],"particularly":[155],"severe":[157],"degradation.":[159]},"counts_by_year":[],"updated_date":"2026-07-21T05:50:15.549392","created_date":"2026-01-17T00:00:00"}