{"id":"https://openalex.org/W4416252294","doi":"https://doi.org/10.1109/ijcnn64981.2025.11227553","title":"Differentially Private FastSHAP for Federated Learning Model Explainability","display_name":"Differentially Private FastSHAP for Federated Learning Model Explainability","publication_year":2025,"publication_date":"2025-06-30","ids":{"openalex":"https://openalex.org/W4416252294","doi":"https://doi.org/10.1109/ijcnn64981.2025.11227553"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn64981.2025.11227553","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn64981.2025.11227553","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 International Joint Conference on Neural Networks (IJCNN)","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/A5058178739","display_name":"Valerio Bonsignori","orcid":"https://orcid.org/0009-0002-9781-4467"},"institutions":[{"id":"https://openalex.org/I157210198","display_name":"Scuola Normale Superiore","ror":"https://ror.org/03aydme10","country_code":"IT","type":"education","lineage":["https://openalex.org/I157210198"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Valerio Bonsignori","raw_affiliation_strings":["Scuola Normale Superiore,KDDLab,Pisa,Italy"],"affiliations":[{"raw_affiliation_string":"Scuola Normale Superiore,KDDLab,Pisa,Italy","institution_ids":["https://openalex.org/I157210198"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5093022526","display_name":"Luca Corbucci","orcid":"https://orcid.org/0000-0001-5427-5518"},"institutions":[{"id":"https://openalex.org/I108290504","display_name":"University of Pisa","ror":"https://ror.org/03ad39j10","country_code":"IT","type":"education","lineage":["https://openalex.org/I108290504"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Luca Corbucci","raw_affiliation_strings":["University of Pisa,KDDLab,Pisa,Italy"],"affiliations":[{"raw_affiliation_string":"University of Pisa,KDDLab,Pisa,Italy","institution_ids":["https://openalex.org/I108290504"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082937374","display_name":"Francesca Naretto","orcid":"https://orcid.org/0000-0003-1301-7787"},"institutions":[{"id":"https://openalex.org/I108290504","display_name":"University of Pisa","ror":"https://ror.org/03ad39j10","country_code":"IT","type":"education","lineage":["https://openalex.org/I108290504"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Francesca Naretto","raw_affiliation_strings":["University of Pisa,KDDLab,Pisa,Italy"],"affiliations":[{"raw_affiliation_string":"University of Pisa,KDDLab,Pisa,Italy","institution_ids":["https://openalex.org/I108290504"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003777693","display_name":"Anna Monreale","orcid":"https://orcid.org/0000-0001-8541-0284"},"institutions":[{"id":"https://openalex.org/I108290504","display_name":"University of Pisa","ror":"https://ror.org/03ad39j10","country_code":"IT","type":"education","lineage":["https://openalex.org/I108290504"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Anna Monreale","raw_affiliation_strings":["University of Pisa,KDDLab,Pisa,Italy"],"affiliations":[{"raw_affiliation_string":"University of Pisa,KDDLab,Pisa,Italy","institution_ids":["https://openalex.org/I108290504"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5058178739"],"corresponding_institution_ids":["https://openalex.org/I157210198"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.18332504,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.4677000045776367,"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/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.4677000045776367,"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":0.3962000012397766,"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/T10883","display_name":"Ethics and Social Impacts of AI","score":0.011099999770522118,"subfield":{"id":"https://openalex.org/subfields/3311","display_name":"Safety Research"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/differential-privacy","display_name":"Differential privacy","score":0.8607000112533569},{"id":"https://openalex.org/keywords/federated-learning","display_name":"Federated learning","score":0.8223999738693237},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.6517999768257141},{"id":"https://openalex.org/keywords/information-privacy","display_name":"Information privacy","score":0.5350000262260437},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.5303999781608582},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.3986999988555908},{"id":"https://openalex.org/keywords/differential","display_name":"Differential (mechanical device)","score":0.3953000009059906},{"id":"https://openalex.org/keywords/private-information-retrieval","display_name":"Private information retrieval","score":0.38690000772476196},{"id":"https://openalex.org/keywords/privacy-protection","display_name":"Privacy protection","score":0.37610000371932983}],"concepts":[{"id":"https://openalex.org/C23130292","wikidata":"https://www.wikidata.org/wiki/Q5275358","display_name":"Differential privacy","level":2,"score":0.8607000112533569},{"id":"https://openalex.org/C2992525071","wikidata":"https://www.wikidata.org/wiki/Q50818671","display_name":"Federated learning","level":2,"score":0.8223999738693237},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7710000276565552},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.6517999768257141},{"id":"https://openalex.org/C123201435","wikidata":"https://www.wikidata.org/wiki/Q456632","display_name":"Information privacy","level":2,"score":0.5350000262260437},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.5303999781608582},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.43140000104904175},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.3986999988555908},{"id":"https://openalex.org/C93226319","wikidata":"https://www.wikidata.org/wiki/Q193137","display_name":"Differential (mechanical device)","level":2,"score":0.3953000009059906},{"id":"https://openalex.org/C99221444","wikidata":"https://www.wikidata.org/wiki/Q1532069","display_name":"Private information retrieval","level":2,"score":0.38690000772476196},{"id":"https://openalex.org/C3017597292","wikidata":"https://www.wikidata.org/wiki/Q25052250","display_name":"Privacy protection","level":2,"score":0.37610000371932983},{"id":"https://openalex.org/C509729295","wikidata":"https://www.wikidata.org/wiki/Q7246032","display_name":"Privacy software","level":3,"score":0.3650999963283539},{"id":"https://openalex.org/C108827166","wikidata":"https://www.wikidata.org/wiki/Q175975","display_name":"Internet privacy","level":1,"score":0.3598000109195709},{"id":"https://openalex.org/C137822555","wikidata":"https://www.wikidata.org/wiki/Q2587068","display_name":"Information sensitivity","level":2,"score":0.3562000095844269},{"id":"https://openalex.org/C15845906","wikidata":"https://www.wikidata.org/wiki/Q1172338","display_name":"Data exchange","level":2,"score":0.33489999175071716},{"id":"https://openalex.org/C102938260","wikidata":"https://www.wikidata.org/wiki/Q1999831","display_name":"Privacy policy","level":3,"score":0.33000001311302185},{"id":"https://openalex.org/C47487241","wikidata":"https://www.wikidata.org/wiki/Q5227230","display_name":"Data access","level":2,"score":0.3255999982357025},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.3068999946117401},{"id":"https://openalex.org/C189693848","wikidata":"https://www.wikidata.org/wiki/Q6031064","display_name":"Information exchange","level":2,"score":0.28459998965263367},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.28299999237060547},{"id":"https://openalex.org/C24756922","wikidata":"https://www.wikidata.org/wiki/Q1757694","display_name":"Data quality","level":3,"score":0.2799000144004822},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.2635999917984009},{"id":"https://openalex.org/C169093310","wikidata":"https://www.wikidata.org/wiki/Q3702971","display_name":"Personally identifiable information","level":2,"score":0.2624000012874603},{"id":"https://openalex.org/C93996380","wikidata":"https://www.wikidata.org/wiki/Q44127","display_name":"Server","level":2,"score":0.25529998540878296},{"id":"https://openalex.org/C193934123","wikidata":"https://www.wikidata.org/wiki/Q7246028","display_name":"Privacy by Design","level":3,"score":0.2549000084400177},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.2500999867916107}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/ijcnn64981.2025.11227553","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn64981.2025.11227553","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},{"id":"pmh:oai:arpi.unipi.it:11568/1345868","is_oa":false,"landing_page_url":"https://hdl.handle.net/11568/1345868","pdf_url":null,"source":{"id":"https://openalex.org/S4377196265","display_name":"CINECA IRIS Institutial research information system (University of Pisa)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I108290504","host_organization_name":"University of Pisa","host_organization_lineage":["https://openalex.org/I108290504"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320320300","display_name":"European Commission","ror":"https://ror.org/00k4n6c32"},{"id":"https://openalex.org/F4320338440","display_name":"HORIZON EUROPE Health","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1557833142","https://openalex.org/W1873763122","https://openalex.org/W1990836268","https://openalex.org/W2473418344","https://openalex.org/W2535690855","https://openalex.org/W2594311007","https://openalex.org/W2744999500","https://openalex.org/W2911978475","https://openalex.org/W2988293491","https://openalex.org/W3130450512","https://openalex.org/W3141585064","https://openalex.org/W4309348012","https://openalex.org/W4324118303","https://openalex.org/W4385060316","https://openalex.org/W4385187849","https://openalex.org/W4385775044","https://openalex.org/W4387430186","https://openalex.org/W4387830504","https://openalex.org/W4388012878","https://openalex.org/W4396243913","https://openalex.org/W4400577061","https://openalex.org/W4401337426","https://openalex.org/W4401338283","https://openalex.org/W4403487713","https://openalex.org/W4406458844"],"related_works":[],"abstract_inverted_index":{"Explaining":[0],"the":[1,27,70,75,87,101,119,129,134,137],"reasoning":[2],"behind":[3],"black-box":[4],"model":[5],"predictions":[6],"while":[7],"preserving":[8],"user":[9],"privacy":[10,63,132],"is":[11],"a":[12,44,107],"significant":[13],"challenge.":[14],"This":[15],"becomes":[16],"even":[17],"more":[18],"complex":[19],"in":[20],"Federated":[21,51],"Learning,":[22],"where":[23],"legal":[24],"constraints":[25],"restrict":[26],"data":[28],"that":[29,46],"clients":[30,81],"can":[31],"share":[32],"with":[33,103,110],"external":[34,83],"entities.":[35,84],"In":[36],"this":[37],"paper,":[38],"we":[39,117],"introduce":[40],"FastSHAP<sup":[41,58,90],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[42,59,91],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">++</sup>,":[43],"method":[45],"adapts":[47],"FastSHAP":[48],"to":[49,112,127],"explain":[50],"Learning":[52],"trained":[53],"models.":[54],"Unlike":[55],"existing":[56],"approaches,":[57],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">++</sup>":[60,92],"mitigates":[61],"client":[62],"risks":[64],"by":[65,106],"incorporating":[66],"Differential":[67,125],"Privacy":[68,126],"into":[69],"explanation":[71],"process":[72],"and":[73,82,99,133],"preventing":[74],"exchange":[76],"of":[77,89,121,124,136],"sensitive":[78],"information":[79],"between":[80,131],"We":[85],"evaluate":[86],"effectiveness":[88],"testing":[93],"it":[94],"on":[95],"three":[96],"different":[97],"datasets,":[98],"comparing":[100],"explanations":[102],"those":[104],"produced":[105],"centralized":[108],"explainer":[109],"access":[111],"clients\u2019":[113],"training":[114],"data.":[115],"Lastly,":[116],"study":[118],"impact":[120],"varying":[122],"levels":[123],"analyse":[128],"trade-offs":[130],"quality":[135],"explanations.":[138]},"counts_by_year":[],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-11-14T00:00:00"}