{"id":"https://openalex.org/W4401717728","doi":"https://doi.org/10.1109/tmc.2024.3447087","title":"Adversarial Reinforcement Learning Based Data Poisoning Attacks Defense for Task-Oriented Multi-User Semantic Communication","display_name":"Adversarial Reinforcement Learning Based Data Poisoning Attacks Defense for Task-Oriented Multi-User Semantic Communication","publication_year":2024,"publication_date":"2024-08-21","ids":{"openalex":"https://openalex.org/W4401717728","doi":"https://doi.org/10.1109/tmc.2024.3447087"},"language":"en","primary_location":{"id":"doi:10.1109/tmc.2024.3447087","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmc.2024.3447087","pdf_url":null,"source":{"id":"https://openalex.org/S69141925","display_name":"IEEE Transactions on Mobile Computing","issn_l":"1536-1233","issn":["1536-1233","1558-0660","2161-9875"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Mobile Computing","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/A5080067958","display_name":"Jincheng Peng","orcid":null},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jincheng Peng","raw_affiliation_strings":["School of Computing and Artificial Intelligence, Southwest Jiaotong University, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"School of Computing and Artificial Intelligence, Southwest Jiaotong University, Chengdu, China","institution_ids":["https://openalex.org/I4800084"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007865788","display_name":"Huanlai Xing","orcid":"https://orcid.org/0000-0002-6345-7265"},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huanlai Xing","raw_affiliation_strings":["School of Computing and Artificial Intelligence, Southwest Jiaotong University, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"School of Computing and Artificial Intelligence, Southwest Jiaotong University, Chengdu, China","institution_ids":["https://openalex.org/I4800084"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061307388","display_name":"Lexi Xu","orcid":"https://orcid.org/0000-0003-4338-7252"},"institutions":[{"id":"https://openalex.org/I6507939","display_name":"China United Network Communications Group (China)","ror":"https://ror.org/028w99c90","country_code":"CN","type":"company","lineage":["https://openalex.org/I6507939"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lexi Xu","raw_affiliation_strings":["Research Institute, China United Network Communications Corporation, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Research Institute, China United Network Communications Corporation, Beijing, China","institution_ids":["https://openalex.org/I6507939"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075454046","display_name":"Shouxi Luo","orcid":"https://orcid.org/0000-0002-4041-3681"},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shouxi Luo","raw_affiliation_strings":["School of Computing and Artificial Intelligence, Southwest Jiaotong University, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"School of Computing and Artificial Intelligence, Southwest Jiaotong University, Chengdu, China","institution_ids":["https://openalex.org/I4800084"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006467851","display_name":"Penglin Dai","orcid":"https://orcid.org/0000-0002-3074-4620"},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Penglin Dai","raw_affiliation_strings":["School of Computing and Artificial Intelligence, Southwest Jiaotong University, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"School of Computing and Artificial Intelligence, Southwest Jiaotong University, Chengdu, China","institution_ids":["https://openalex.org/I4800084"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101353023","display_name":"Li Feng","orcid":null},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li Feng","raw_affiliation_strings":["School of Computing and Artificial Intelligence, Southwest Jiaotong University, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"School of Computing and Artificial Intelligence, Southwest Jiaotong University, Chengdu, China","institution_ids":["https://openalex.org/I4800084"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043903190","display_name":"Jing Song","orcid":"https://orcid.org/0000-0003-3009-9075"},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jing Song","raw_affiliation_strings":["Informatization Research Institute, Southwest Jiaotong University, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"Informatization Research Institute, Southwest Jiaotong University, Chengdu, China","institution_ids":["https://openalex.org/I4800084"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025639696","display_name":"Bowen Zhao","orcid":"https://orcid.org/0000-0003-0752-1047"},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bowen Zhao","raw_affiliation_strings":["School of Computing and Artificial Intelligence, Southwest Jiaotong University, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"School of Computing and Artificial Intelligence, Southwest Jiaotong University, Chengdu, China","institution_ids":["https://openalex.org/I4800084"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050203956","display_name":"Zhiwen Xiao","orcid":"https://orcid.org/0000-0001-9651-111X"},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiwen Xiao","raw_affiliation_strings":["School of Computing and Artificial Intelligence, Southwest Jiaotong University, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"School of Computing and Artificial Intelligence, Southwest Jiaotong University, Chengdu, China","institution_ids":["https://openalex.org/I4800084"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":9,"corresponding_author_ids":["https://openalex.org/A5080067958"],"corresponding_institution_ids":["https://openalex.org/I4800084"],"apc_list":null,"apc_paid":null,"fwci":4.1702,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.94711057,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"23","issue":"12","first_page":"14834","last_page":"14851"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9682000279426575,"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":0.9682000279426575,"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":0.925000011920929,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8439322710037231},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.7546447515487671},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.7080483436584473},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6091883778572083},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.5177180171012878},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.43427079916000366},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.33863312005996704}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8439322710037231},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.7546447515487671},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.7080483436584473},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6091883778572083},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.5177180171012878},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.43427079916000366},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33863312005996704},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tmc.2024.3447087","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmc.2024.3447087","pdf_url":null,"source":{"id":"https://openalex.org/S69141925","display_name":"IEEE Transactions on Mobile Computing","issn_l":"1536-1233","issn":["1536-1233","1558-0660","2161-9875"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Mobile Computing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1865495194","display_name":null,"funder_award_id":"F2022105027","funder_id":"https://openalex.org/F4320322163","funder_display_name":"Natural Science Foundation of Hebei Province"},{"id":"https://openalex.org/G5031340677","display_name":null,"funder_award_id":"62172342","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/F4320322163","display_name":"Natural Science Foundation of Hebei Province","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":58,"referenced_works":["https://openalex.org/W2116775748","https://openalex.org/W2125389028","https://openalex.org/W2533598788","https://openalex.org/W2551176409","https://openalex.org/W2946127746","https://openalex.org/W3003426262","https://openalex.org/W3034368386","https://openalex.org/W3040492708","https://openalex.org/W3117572899","https://openalex.org/W3118608800","https://openalex.org/W3130029382","https://openalex.org/W3138154797","https://openalex.org/W3138597937","https://openalex.org/W3138954712","https://openalex.org/W3163222347","https://openalex.org/W3189460592","https://openalex.org/W3198262235","https://openalex.org/W3213872105","https://openalex.org/W4205979449","https://openalex.org/W4210622448","https://openalex.org/W4224942948","https://openalex.org/W4226057940","https://openalex.org/W4226115138","https://openalex.org/W4226255806","https://openalex.org/W4285205197","https://openalex.org/W4285252390","https://openalex.org/W4285307629","https://openalex.org/W4290996582","https://openalex.org/W4292387498","https://openalex.org/W4308669550","https://openalex.org/W4312050893","https://openalex.org/W4312337604","https://openalex.org/W4312819349","https://openalex.org/W4313181385","https://openalex.org/W4315473433","https://openalex.org/W4317350116","https://openalex.org/W4317795078","https://openalex.org/W4319586093","https://openalex.org/W4322576473","https://openalex.org/W4365420366","https://openalex.org/W4366148644","https://openalex.org/W4381886281","https://openalex.org/W4385443998","https://openalex.org/W4385484874","https://openalex.org/W4385569687","https://openalex.org/W4387869519","https://openalex.org/W4391742995","https://openalex.org/W4392607733","https://openalex.org/W4399119173","https://openalex.org/W4399801129","https://openalex.org/W6678815747","https://openalex.org/W6735677848","https://openalex.org/W6739917289","https://openalex.org/W6743821447","https://openalex.org/W6748786018","https://openalex.org/W6770634426","https://openalex.org/W6773366154","https://openalex.org/W6787972765"],"related_works":["https://openalex.org/W2502115930","https://openalex.org/W2482350142","https://openalex.org/W4246396837","https://openalex.org/W3126451824","https://openalex.org/W1561927205","https://openalex.org/W3191453585","https://openalex.org/W4297672492","https://openalex.org/W4310988119","https://openalex.org/W4285226279","https://openalex.org/W3196817267"],"abstract_inverted_index":{"Multi-user":[0],"semantic":[1,26],"communication":[2],"(MUSC)":[3],"has":[4],"emerged":[5],"as":[6,90],"a":[7,24,196,206],"promising":[8],"paradigm":[9],"for":[10,69,100],"future":[11],"6G":[12],"networks":[13,71],"and":[14,72,155,217],"applications,":[15],"where":[16],"massive":[17],"clients":[18],"(e.g.,":[19],"mobile":[20],"devices)":[21],"collaboratively":[22],"construct":[23],"global":[25],"decoder":[27],"without":[28],"sharing":[29],"their":[30],"local":[31],"data.":[32],"However,":[33],"due":[34],"to":[35,41,47,77,93,150,178],"the":[36,115,119,160,166,171,174,180,187,201,218],"lack":[37],"of":[38,117,173,239],"direct":[39],"access":[40],"clients\u2019":[42],"data,":[43],"MUSC":[44],"is":[45],"vulnerable":[46],"data":[48,152],"poisoning":[49,153],"attacks":[50,154],"(DPAs),":[51],"wherein":[52],"malicious":[53],"participants":[54],"send":[55],"updates":[56],"derived":[57],"from":[58,159],"poisoned":[59,157],"training":[60],"samples.":[61],"Current":[62],"defense":[63],"techniques":[64],"against":[65,95],"DPAs":[66,96],"are":[67,73],"designed":[68],"traditional":[70],"not":[74],"directly":[75],"applicable":[76],"MUSC.":[78,101],"In":[79],"this":[80],"paper,":[81],"we":[82,103,129,144],"propose":[83],"an":[84,131,146],"effective":[85,214],"attack-defense":[86],"game":[87],"framework,":[88],"denoted":[89],"DPAD-MUSC,":[91],"tailored":[92],"defend":[94],"during":[97],"image":[98,228],"transmission":[99],"First,":[102],"determine":[104],"each":[105],"attack-type's":[106],"optimal":[107,175,191],"attack":[108,120,147,176,192],"policy":[109,177],"based":[110,136],"on":[111,137,224],"reinforcement":[112],"learning,":[113],"with":[114,165],"aim":[116],"strengthening":[118],"while":[121,204],"avoiding":[122],"detection.":[123],"To":[124],"generate":[125,213],"adversarial":[126,132,140,167,215],"samples":[127,133,158,168,216],"accordingly,":[128],"devise":[130],"generator":[134],"(ADV-Generator)":[135],"conditional":[138],"generative":[139],"network":[141],"(CGAN).":[142],"Then,":[143],"introduce":[145],"defender":[148],"(DPA-Defender)":[149],"detect":[151],"exclude":[156],"target":[161,202],"model's":[162],"learning":[163],"process,":[164],"generated":[169],"under":[170,230],"guidance":[172],"enhance":[179],"detector's":[181],"robustness.":[182],"Simulation":[183],"results":[184],"demonstrate":[185],"that":[186,194],"DPAD-MUSC":[188],"can":[189,212],"find":[190],"policies":[193],"cause":[195],"greater":[197],"accuracy":[198],"drop":[199],"in":[200,237],"model":[203],"maintaining":[205],"higher":[207],"evasion":[208],"rate.":[209],"The":[210],"ADV-Generator":[211],"DPA-Defender":[219],"outperforms":[220],"five":[221],"state-of-the-art":[222],"methods":[223],"three":[225],"widely":[226],"used":[227],"datasets":[229],"additive":[231],"white":[232],"Gaussian":[233],"noise":[234],"(AWGN)":[235],"channel":[236],"terms":[238],"Top-1":[240],"accuracy.":[241]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":10}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
