{"id":"https://openalex.org/W4410614097","doi":"https://doi.org/10.1109/jiot.2025.3572806","title":"Gradient Inversion Attack via Image-Correction-Penalty-Based Over-Parameterized Regression Network in Federated Learning","display_name":"Gradient Inversion Attack via Image-Correction-Penalty-Based Over-Parameterized Regression Network in Federated Learning","publication_year":2025,"publication_date":"2025-05-22","ids":{"openalex":"https://openalex.org/W4410614097","doi":"https://doi.org/10.1109/jiot.2025.3572806"},"language":"en","primary_location":{"id":"doi:10.1109/jiot.2025.3572806","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2025.3572806","pdf_url":null,"source":{"id":"https://openalex.org/S2480266640","display_name":"IEEE Internet of Things Journal","issn_l":"2327-4662","issn":["2327-4662","2372-2541"],"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 Internet of Things Journal","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/A5007499825","display_name":"Bin Xu","orcid":"https://orcid.org/0000-0001-7837-8554"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bin Xu","raw_affiliation_strings":["School of Internet of Things, Nanjing University of Posts and Telecommunications, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0001-7837-8554","affiliations":[{"raw_affiliation_string":"School of Internet of Things, Nanjing University of Posts and Telecommunications, Nanjing, China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024001028","display_name":"Qing Wen","orcid":"https://orcid.org/0000-0001-9686-5364"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qing Wen","raw_affiliation_strings":["School of Internet of Things, Nanjing University of Posts and Telecommunications, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Internet of Things, Nanjing University of Posts and Telecommunications, Nanjing, China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Longgang Cheng","orcid":null},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Longgang Cheng","raw_affiliation_strings":["School of Internet of Things, Nanjing University of Posts and Telecommunications, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Internet of Things, Nanjing University of Posts and Telecommunications, Nanjing, China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005090678","display_name":"Xiaoxuan Hu","orcid":"https://orcid.org/0000-0002-3183-2390"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoxuan Hu","raw_affiliation_strings":["School of Internet of Things, Nanjing University of Posts and Telecommunications, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0002-3183-2390","affiliations":[{"raw_affiliation_string":"School of Internet of Things, Nanjing University of Posts and Telecommunications, Nanjing, China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077083115","display_name":"Tian Li","orcid":"https://orcid.org/0000-0001-7509-7845"},"institutions":[{"id":"https://openalex.org/I4210101451","display_name":"Nanjing University of Industry Technology","ror":"https://ror.org/00qf07q44","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210101451"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tian Li","raw_affiliation_strings":["Industrial Software Engineering Technology Research and Development Center of Jiangsu Province, Nanjing Vocational University of Industry Technology, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0001-7509-7845","affiliations":[{"raw_affiliation_string":"Industrial Software Engineering Technology Research and Development Center of Jiangsu Province, Nanjing Vocational University of Industry Technology, Nanjing, China","institution_ids":["https://openalex.org/I4210101451"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100629960","display_name":"Yanfei Sun","orcid":"https://orcid.org/0000-0003-0085-1545"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanfei Sun","raw_affiliation_strings":["School of Internet of Things, Nanjing University of Posts and Telecommunications, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0003-0085-1545","affiliations":[{"raw_affiliation_string":"School of Internet of Things, Nanjing University of Posts and Telecommunications, Nanjing, China","institution_ids":["https://openalex.org/I41198531"]}]}],"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":0.05115513,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"12","issue":"15","first_page":"31432","last_page":"31447"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9997000098228455,"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":0.9997000098228455,"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/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9943000078201294,"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/T12131","display_name":"Wireless Signal Modulation Classification","score":0.9587000012397766,"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/parameterized-complexity","display_name":"Parameterized complexity","score":0.780295193195343},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7796941995620728},{"id":"https://openalex.org/keywords/inversion","display_name":"Inversion (geology)","score":0.5785223245620728},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.5027480125427246},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.49990296363830566},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.49463292956352234},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.43872931599617004},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3488316237926483},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.34830111265182495},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.33476167917251587},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1268496811389923},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.10740113258361816}],"concepts":[{"id":"https://openalex.org/C165464430","wikidata":"https://www.wikidata.org/wiki/Q1570441","display_name":"Parameterized complexity","level":2,"score":0.780295193195343},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7796941995620728},{"id":"https://openalex.org/C1893757","wikidata":"https://www.wikidata.org/wiki/Q3653001","display_name":"Inversion (geology)","level":3,"score":0.5785223245620728},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.5027480125427246},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.49990296363830566},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49463292956352234},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.43872931599617004},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3488316237926483},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.34830111265182495},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33476167917251587},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1268496811389923},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.10740113258361816},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C109007969","wikidata":"https://www.wikidata.org/wiki/Q749565","display_name":"Structural basin","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/jiot.2025.3572806","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2025.3572806","pdf_url":null,"source":{"id":"https://openalex.org/S2480266640","display_name":"IEEE Internet of Things Journal","issn_l":"2327-4662","issn":["2327-4662","2372-2541"],"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 Internet of Things Journal","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.44999998807907104,"id":"https://metadata.un.org/sdg/10"}],"awards":[{"id":"https://openalex.org/G626719739","display_name":null,"funder_award_id":"62402242","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6275736024","display_name":null,"funder_award_id":"BE2023025-1","funder_id":"https://openalex.org/F4320336585","funder_display_name":"Foundation Research Project of Jiangsu Province"},{"id":"https://openalex.org/G8139437255","display_name":null,"funder_award_id":"BE2023025-4","funder_id":"https://openalex.org/F4320336585","funder_display_name":"Foundation Research Project of Jiangsu Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320336585","display_name":"Foundation Research Project of Jiangsu Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W2473418344","https://openalex.org/W2781091734","https://openalex.org/W2799200478","https://openalex.org/W2970408908","https://openalex.org/W3158675315","https://openalex.org/W3175192640","https://openalex.org/W3175418606","https://openalex.org/W3193066552","https://openalex.org/W4225642165","https://openalex.org/W4282924988","https://openalex.org/W4283312100","https://openalex.org/W4294643348","https://openalex.org/W4296338020","https://openalex.org/W4367359542","https://openalex.org/W4382450048","https://openalex.org/W4384284127","https://openalex.org/W4386472972","https://openalex.org/W4388740424","https://openalex.org/W4391341742","https://openalex.org/W4391661654","https://openalex.org/W4393032351","https://openalex.org/W4399039631","https://openalex.org/W4400946014","https://openalex.org/W4401213787","https://openalex.org/W4403600579","https://openalex.org/W6728757088","https://openalex.org/W6732298257","https://openalex.org/W6735913928","https://openalex.org/W6773039429","https://openalex.org/W6775563089","https://openalex.org/W6782754526","https://openalex.org/W6795145069","https://openalex.org/W6838563728","https://openalex.org/W6843392272","https://openalex.org/W6861790787"],"related_works":["https://openalex.org/W31220157","https://openalex.org/W2312753042","https://openalex.org/W4289356671","https://openalex.org/W2389155397","https://openalex.org/W2165884543","https://openalex.org/W3186837933","https://openalex.org/W2368989808","https://openalex.org/W1969346022","https://openalex.org/W2034959125","https://openalex.org/W2355687852"],"abstract_inverted_index":{"While":[0],"Federated":[1],"Learning":[2],"is":[3,10],"intended":[4],"to":[5,21,118,126],"safeguard":[6],"data":[7,30,121],"privacy,":[8],"it":[9,125],"confronted":[11],"with":[12,55,98,211],"the":[13,28,32,77,93,115,129,139,147,154,157,161,168,171,177,187,199],"problem":[14],"of":[15,49,58,95,131,134,170,191,214],"gradient":[16,23,34,37,64,195],"leakage,":[17],"which":[18],"empowers":[19],"attackers":[20],"execute":[22],"inversion":[24,38,196],"attacks":[25,197],"and":[26,66,137,160,189,202],"retrieve":[27],"original":[29],"through":[31,92],"shared":[33],"information.":[35],"Existing":[36],"attack":[39],"methods":[40,97],"can":[41,108],"achieve":[42],"good":[43],"results":[44,181],"when":[45,53,209],"handling":[46],"small":[47],"batches":[48,57,133,213],"low-resolution":[50],"images.":[51,145,216],"However,":[52],"dealing":[54,210],"large":[56,132,212],"high-resolution":[59,135],"images,":[60],"problems":[61],"such":[62,144],"as":[63],"ambiguity":[65],"model":[67],"instability":[68],"will":[69],"occur,":[70],"resulting":[71],"in":[72,76,106],"a":[73,82],"significant":[74],"decrease":[75],"recovery":[78],"performance.":[79],"We":[80],"propose":[81],"novel":[83],"Image-correction-penalty":[84],"based":[85],"Over-parameterized":[86,104],"Regression":[87],"Network":[88,105],"(IORN).":[89],"IORN":[90,107,184],"breaks":[91],"limitations":[94],"existing":[96],"its":[99,111],"unique":[100],"design.":[101],"The":[102],"Adaptive":[103],"dynamically":[109],"adjust":[110],"structure,":[112],"thereby":[113],"enhancing":[114],"network\u2019s":[116],"ability":[117,142],"capture":[119],"complex":[120,215],"distributions.":[122],"This":[123,164],"enables":[124],"better":[127],"handle":[128],"complexity":[130],"images":[136,159,193],"improves":[138,167,186],"model\u2019s":[140],"reconstruction":[141],"for":[143],"Meanwhile,":[146],"designed":[148],"image":[149],"correction":[150],"penalty":[151],"term":[152],"restricts":[153],"difference":[155],"between":[156],"generated":[158],"average":[162],"image.":[163],"not":[165],"only":[166],"stability":[169],"optimization":[172],"process":[173],"but":[174],"also":[175],"reduces":[176],"convergence":[178],"deviation.":[179],"Experimental":[180],"demonstrate":[182],"that":[183],"significantly":[185],"resolution":[188],"fidelity":[190],"reconstructed":[192],"during":[194],"on":[198],"MNIST,":[200],"CIFAR-100,":[201],"LFW":[203],"datasets,":[204],"especially":[205],"showing":[206],"outstanding":[207],"performance":[208]},"counts_by_year":[],"updated_date":"2026-07-05T07:55:05.734416","created_date":"2025-10-10T00:00:00"}
