{"id":"https://openalex.org/W4399375301","doi":"https://doi.org/10.1109/icit58233.2024.10540758","title":"Privacy Leakage in Federated Home Applications Using Gradient Inversion Algorithms","display_name":"Privacy Leakage in Federated Home Applications Using Gradient Inversion Algorithms","publication_year":2024,"publication_date":"2024-03-25","ids":{"openalex":"https://openalex.org/W4399375301","doi":"https://doi.org/10.1109/icit58233.2024.10540758"},"language":"en","primary_location":{"id":"doi:10.1109/icit58233.2024.10540758","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icit58233.2024.10540758","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Industrial Technology (ICIT)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://nottingham-repository.worktribe.com/output/36294327","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101562847","display_name":"Wenzhi Chen","orcid":"https://orcid.org/0000-0003-1674-4701"},"institutions":[{"id":"https://openalex.org/I190082696","display_name":"Durham University","ror":"https://ror.org/01v29qb04","country_code":"GB","type":"education","lineage":["https://openalex.org/I190082696"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Wenzhi Chen","raw_affiliation_strings":["Durham University,Department of Engineering,Durham,UK,DHI 3LE"],"affiliations":[{"raw_affiliation_string":"Durham University,Department of Engineering,Durham,UK,DHI 3LE","institution_ids":["https://openalex.org/I190082696"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100694341","display_name":"Hongjian Sun","orcid":"https://orcid.org/0000-0001-8660-8081"},"institutions":[{"id":"https://openalex.org/I190082696","display_name":"Durham University","ror":"https://ror.org/01v29qb04","country_code":"GB","type":"education","lineage":["https://openalex.org/I190082696"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Hongjian Sun","raw_affiliation_strings":["Durham University,Department of Engineering,Durham,UK,DHI 3LE"],"affiliations":[{"raw_affiliation_string":"Durham University,Department of Engineering,Durham,UK,DHI 3LE","institution_ids":["https://openalex.org/I190082696"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077348863","display_name":"Minglei You","orcid":"https://orcid.org/0000-0002-7445-1571"},"institutions":[{"id":"https://openalex.org/I142263535","display_name":"University of Nottingham","ror":"https://ror.org/01ee9ar58","country_code":"GB","type":"education","lineage":["https://openalex.org/I142263535"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Minglei You","raw_affiliation_strings":["University of Nottingham,Department of Electrical and Electronic Engineering,Nottingham,UK,NG8 IBB"],"affiliations":[{"raw_affiliation_string":"University of Nottingham,Department of Electrical and Electronic Engineering,Nottingham,UK,NG8 IBB","institution_ids":["https://openalex.org/I142263535"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5027804591","display_name":"Jing Jiang","orcid":"https://orcid.org/0000-0001-7167-9848"},"institutions":[{"id":"https://openalex.org/I32394136","display_name":"Northumbria University","ror":"https://ror.org/049e6bc10","country_code":"GB","type":"education","lineage":["https://openalex.org/I32394136"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Jing Jiang","raw_affiliation_strings":["Northumbria University,Department of Mathematics, Physics and Electrical Engineering,Newcastle upon Tyne,UK,NEI 8ST"],"affiliations":[{"raw_affiliation_string":"Northumbria University,Department of Mathematics, Physics and Electrical Engineering,Newcastle upon Tyne,UK,NEI 8ST","institution_ids":["https://openalex.org/I32394136"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101562847"],"corresponding_institution_ids":["https://openalex.org/I190082696"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.06212447,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"1","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9998000264167786,"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/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9998000264167786,"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":0.996999979019165,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9890000224113464,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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":0.7488988041877747},{"id":"https://openalex.org/keywords/federated-learning","display_name":"Federated learning","score":0.6923284530639648},{"id":"https://openalex.org/keywords/upload","display_name":"Upload","score":0.6855143308639526},{"id":"https://openalex.org/keywords/leakage","display_name":"Leakage (economics)","score":0.5683919191360474},{"id":"https://openalex.org/keywords/inversion","display_name":"Inversion (geology)","score":0.5242317318916321},{"id":"https://openalex.org/keywords/information-privacy","display_name":"Information privacy","score":0.4973130524158478},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.45536109805107117},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.37486690282821655},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3408082127571106},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.33571189641952515},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.0909976065158844}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7488988041877747},{"id":"https://openalex.org/C2992525071","wikidata":"https://www.wikidata.org/wiki/Q50818671","display_name":"Federated learning","level":2,"score":0.6923284530639648},{"id":"https://openalex.org/C71901391","wikidata":"https://www.wikidata.org/wiki/Q7126699","display_name":"Upload","level":2,"score":0.6855143308639526},{"id":"https://openalex.org/C2777042071","wikidata":"https://www.wikidata.org/wiki/Q6509304","display_name":"Leakage (economics)","level":2,"score":0.5683919191360474},{"id":"https://openalex.org/C1893757","wikidata":"https://www.wikidata.org/wiki/Q3653001","display_name":"Inversion (geology)","level":3,"score":0.5242317318916321},{"id":"https://openalex.org/C123201435","wikidata":"https://www.wikidata.org/wiki/Q456632","display_name":"Information privacy","level":2,"score":0.4973130524158478},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.45536109805107117},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.37486690282821655},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3408082127571106},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33571189641952515},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0909976065158844},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"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/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C139719470","wikidata":"https://www.wikidata.org/wiki/Q39680","display_name":"Macroeconomics","level":1,"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":2,"locations":[{"id":"doi:10.1109/icit58233.2024.10540758","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icit58233.2024.10540758","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Industrial Technology (ICIT)","raw_type":"proceedings-article"},{"id":"pmh:oai:nottingham-repository.worktribe.com:36294327","is_oa":true,"landing_page_url":"https://nottingham-repository.worktribe.com/output/36294327","pdf_url":null,"source":{"id":"https://openalex.org/S4306402483","display_name":"Repository@Nottingham (University of Nottingham)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I142263535","host_organization_name":"University of Nottingham","host_organization_lineage":["https://openalex.org/I142263535"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"publishedVersion"}],"best_oa_location":{"id":"pmh:oai:nottingham-repository.worktribe.com:36294327","is_oa":true,"landing_page_url":"https://nottingham-repository.worktribe.com/output/36294327","pdf_url":null,"source":{"id":"https://openalex.org/S4306402483","display_name":"Repository@Nottingham (University of Nottingham)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I142263535","host_organization_name":"University of Nottingham","host_organization_lineage":["https://openalex.org/I142263535"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"publishedVersion"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","score":0.6000000238418579,"display_name":"Industry, innovation and infrastructure"}],"awards":[{"id":"https://openalex.org/G4288501157","display_name":null,"funder_award_id":"12893212","funder_id":"https://openalex.org/F4320318240","funder_display_name":"European Space Agency"},{"id":"https://openalex.org/G7018328225","display_name":null,"funder_award_id":"IEC/NSFC/223152","funder_id":"https://openalex.org/F4320320006","funder_display_name":"Royal Society"}],"funders":[{"id":"https://openalex.org/F4320318240","display_name":"European Space Agency","ror":"https://ror.org/03wd9za21"},{"id":"https://openalex.org/F4320320006","display_name":"Royal Society","ror":"https://ror.org/03wnrjx87"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1996944908","https://openalex.org/W2516809705","https://openalex.org/W2535690855","https://openalex.org/W2591882872","https://openalex.org/W2919115771","https://openalex.org/W2970408908","https://openalex.org/W3000479830","https://openalex.org/W3102977103","https://openalex.org/W3175192640","https://openalex.org/W4247457269","https://openalex.org/W4287822453","https://openalex.org/W4304118900","https://openalex.org/W4306317250","https://openalex.org/W4318619660","https://openalex.org/W4367047196","https://openalex.org/W4378191499","https://openalex.org/W4380372387","https://openalex.org/W4383200232","https://openalex.org/W6631190155","https://openalex.org/W6728757088","https://openalex.org/W6764838729","https://openalex.org/W6773039429","https://openalex.org/W6775563089"],"related_works":["https://openalex.org/W2944823289","https://openalex.org/W2003209439","https://openalex.org/W4321854979","https://openalex.org/W3037018281","https://openalex.org/W2358319515","https://openalex.org/W2972592048","https://openalex.org/W4312214821","https://openalex.org/W2497626292","https://openalex.org/W2390344072","https://openalex.org/W3089066832"],"abstract_inverted_index":{"With":[0],"advances":[1],"in":[2,74,85],"smart":[3],"metering":[4,8],"infrastructure,":[5],"household":[6,17],"electricity":[7],"data":[9,30,73],"are":[10,104],"remotely":[11],"collected,":[12],"leading":[13],"to":[14,63,106],"concerns":[15],"about":[16],"privacy":[18,69,83,108,119],"leakage.":[19],"Federated":[20],"learning":[21,41,118],"is":[22,124],"a":[23,43],"promising":[24],"solution":[25],"because":[26],"it":[27],"avoids":[28],"direct":[29],"uploading.":[31],"However,":[32],"recent":[33],"research":[34],"shows":[35],"that":[36,49,90],"the":[37,65,113],"gradient":[38,54,121],"of":[39,46,82],"federated":[40,117],"contains":[42],"certain":[44],"amount":[45],"private":[47],"information":[48],"can":[50],"be":[51],"recovered":[52],"using":[53],"inversion":[55,122],"algorithms.":[56],"This":[57],"paper":[58],"proposes":[59],"an":[60],"explainable":[61],"algorithm":[62],"locate":[64],"key":[66],"factors":[67],"affecting":[68],"leakage":[70],"and":[71,88,101],"vulnerable":[72],"home":[75,92],"application":[76],"scenarios.":[77],"Simulations":[78],"show":[79],"comparative":[80],"results":[81],"leakages":[84],"different":[86],"situations":[87],"reveal":[89],"for":[91,115],"Artificial":[93],"Intelligence":[94],"applications,":[95],"smaller":[96],"batch":[97],"sizes,":[98],"training":[99],"iterations,":[100],"extreme":[102],"values":[103],"prone":[105],"causing":[107],"leaks.":[109],"Based":[110],"on":[111],"that,":[112],"advice":[114],"protecting":[116],"under":[120],"algorithms":[123],"summarized.":[125]},"counts_by_year":[],"updated_date":"2025-12-26T23:08:49.675405","created_date":"2025-10-10T00:00:00"}