{"id":"https://openalex.org/W7160268887","doi":"https://doi.org/10.1109/wacv61042.2026.00275","title":"Personalized Image Privacy Advisors via Federated Daisy-Chaining","display_name":"Personalized Image Privacy Advisors via Federated Daisy-Chaining","publication_year":2026,"publication_date":"2026-03-06","ids":{"openalex":"https://openalex.org/W7160268887","doi":"https://doi.org/10.1109/wacv61042.2026.00275"},"language":null,"primary_location":{"id":"doi:10.1109/wacv61042.2026.00275","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wacv61042.2026.00275","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)","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/A5034661675","display_name":"Sourasekhar Banerjee","orcid":"https://orcid.org/0000-0002-3451-2851"},"institutions":[{"id":"https://openalex.org/I123387679","display_name":"Uppsala University","ror":"https://ror.org/048a87296","country_code":"SE","type":"education","lineage":["https://openalex.org/I123387679"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Sourasekhar Banerjee","raw_affiliation_strings":["Uppsala University,Sweden"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Uppsala University,Sweden","institution_ids":["https://openalex.org/I123387679"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006646854","display_name":"Vengateswaran Subramaniam","orcid":null},"institutions":[{"id":"https://openalex.org/I4210161496","display_name":"A*STAR Graduate Academy","ror":"https://ror.org/059yjzn93","country_code":"SG","type":"education","lineage":["https://openalex.org/I115228651","https://openalex.org/I4210161496"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Vengateswaran Subramaniam","raw_affiliation_strings":["A*STAR,IHPC,Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"A*STAR,IHPC,Singapore","institution_ids":["https://openalex.org/I4210161496"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060306211","display_name":"Debaditya Roy","orcid":"https://orcid.org/0000-0002-8779-1241"},"institutions":[{"id":"https://openalex.org/I145894827","display_name":"Indian Institute of Technology Kharagpur","ror":"https://ror.org/03w5sq511","country_code":"IN","type":"education","lineage":["https://openalex.org/I145894827"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Debaditya Roy","raw_affiliation_strings":["IIT Kharagpur,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IIT Kharagpur,India","institution_ids":["https://openalex.org/I145894827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045309067","display_name":"Vigneshwaran Subbaraju","orcid":"https://orcid.org/0000-0002-4276-5939"},"institutions":[{"id":"https://openalex.org/I4210161496","display_name":"A*STAR Graduate Academy","ror":"https://ror.org/059yjzn93","country_code":"SG","type":"education","lineage":["https://openalex.org/I115228651","https://openalex.org/I4210161496"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Vigneshwaran Subbaraju","raw_affiliation_strings":["A*STAR,IHPC,Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"A*STAR,IHPC,Singapore","institution_ids":["https://openalex.org/I4210161496"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044933320","display_name":"Monowar Bhuyan","orcid":"https://orcid.org/0000-0002-9842-7840"},"institutions":[{"id":"https://openalex.org/I90267481","display_name":"Ume\u00e5 University","ror":"https://ror.org/05kb8h459","country_code":"SE","type":"education","lineage":["https://openalex.org/I90267481"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Monowar Bhuyan","raw_affiliation_strings":["Ume&#x00E5; University,Sweden"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ume&#x00E5; University,Sweden","institution_ids":["https://openalex.org/I90267481"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"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":0.53365344,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2808","last_page":"2817"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.26429998874664307,"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":0.26429998874664307,"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/T10237","display_name":"Cryptography and Data Security","score":0.13819999992847443,"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/T11017","display_name":"Chaos-based Image/Signal Encryption","score":0.10419999808073044,"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/image","display_name":"Image (mathematics)","score":0.41269999742507935},{"id":"https://openalex.org/keywords/information-privacy","display_name":"Information privacy","score":0.3614000082015991},{"id":"https://openalex.org/keywords/confidentiality","display_name":"Confidentiality","score":0.3562999963760376},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.29179999232292175},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.287200003862381},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.2867000102996826}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6082000136375427},{"id":"https://openalex.org/C108827166","wikidata":"https://www.wikidata.org/wiki/Q175975","display_name":"Internet privacy","level":1,"score":0.42179998755455017},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.41269999742507935},{"id":"https://openalex.org/C123201435","wikidata":"https://www.wikidata.org/wiki/Q456632","display_name":"Information privacy","level":2,"score":0.3614000082015991},{"id":"https://openalex.org/C71745522","wikidata":"https://www.wikidata.org/wiki/Q2476929","display_name":"Confidentiality","level":2,"score":0.3562999963760376},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.33070001006126404},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.29179999232292175},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.2874000072479248},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.287200003862381},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.2867000102996826},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.27889999747276306},{"id":"https://openalex.org/C3017597292","wikidata":"https://www.wikidata.org/wiki/Q25052250","display_name":"Privacy protection","level":2,"score":0.26159998774528503},{"id":"https://openalex.org/C2910417920","wikidata":"https://www.wikidata.org/wiki/Q4116434","display_name":"Patient privacy","level":3,"score":0.2574000060558319},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.2522999942302704}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/wacv61042.2026.00275","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wacv61042.2026.00275","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1485714019","https://openalex.org/W1973434975","https://openalex.org/W2080575891","https://openalex.org/W2155732497","https://openalex.org/W2414927838","https://openalex.org/W2559975580","https://openalex.org/W2576170960","https://openalex.org/W2611607249","https://openalex.org/W2739978749","https://openalex.org/W2916627203","https://openalex.org/W2950239670","https://openalex.org/W3021654819","https://openalex.org/W3047931833","https://openalex.org/W3080934299","https://openalex.org/W3091635927","https://openalex.org/W3104631511","https://openalex.org/W3133547573","https://openalex.org/W3206207913","https://openalex.org/W3207137622","https://openalex.org/W4280551141","https://openalex.org/W4280631533","https://openalex.org/W4360979161","https://openalex.org/W4390798746","https://openalex.org/W4394631445","https://openalex.org/W4409262165"],"related_works":[],"abstract_inverted_index":{"Image":[0],"sharing":[1,80],"on":[2],"social":[3],"media":[4],"has":[5],"become":[6],"routine":[7],"but":[8],"poses":[9],"serious":[10],"privacy":[11,24,29,96,171,179],"risks,":[12],"as":[13,56,90],"users":[14,33],"may":[15],"unknowingly":[16],"expose":[17],"sensitive":[18],"information.":[19],"This":[20],"necessitates":[21],"an":[22],"image":[23,178],"advisor":[25],"that":[26,163],"assigns":[27],"personalized":[28,113,169],"risk":[30],"scores,":[31,172],"helping":[32],"decide":[34],"whether":[35],"to":[36,61],"share":[37],"images":[38],"publicly":[39],"or":[40],"not.":[41],"However,":[42],"centralized":[43,135,175],"training":[44,78],"of":[45,54],"such":[46,89],"models":[47],"risks":[48],"user":[49,67,95,170],"data":[50,57,91,139,151],"exposure":[51],"and":[52,102,129,143,149,176],"loss":[53],"ownership,":[55],"must":[58],"be":[59],"uploaded":[60],"a":[62,112,119,154],"central":[63],"server.":[64],"To":[65,105],"safeguard":[66],"privacy,":[68],"we":[69,109],"adopt":[70],"Federated":[71],"Learning":[72],"(FL),":[73],"which":[74],"enables":[75],"collaborative":[76],"model":[77,122],"without":[79],"raw":[81],"data.":[82],"Despite":[83],"its":[84],"advantages,":[85],"FL":[86,114],"faces":[87],"challenges":[88],"heterogeneity":[92,140],"from":[93],"diverse":[94],"preferences,":[97],"limited":[98],"annotations":[99],"per":[100],"user,":[101],"communication":[103],"overhead.":[104],"address":[106],"these":[107],"issues,":[108],"propose":[110],"CFedDC,":[111],"algorithm":[115],"combined":[116],"with":[117,123,147],"PIONet,":[118],"mobile":[120],"friendly":[121],"14.5":[124],"\u00d7":[125],"fewer":[126],"trainable":[127],"parameters":[128],"93.09%":[130],"lower":[131],"memory":[132],"footprint":[133],"than":[134],"baselines.":[136],"CFedDC":[137],"mitigates":[138],"through":[141],"clustering":[142],"cluster":[144],"aware":[145],"regularization":[146],"stability,":[148],"tackles":[150],"scarcity":[152],"using":[153],"daisy-chaining":[155],"knowledge":[156],"transfer":[157],"mechanism.":[158],"Comprehensive":[159],"experimental":[160],"evaluations":[161],"demonstrate":[162],"our":[164],"proposed":[165],"method":[166],"achieves":[167],"well-aligned":[168],"outperforming":[173],"existing":[174],"FL-based":[177],"models.":[180]},"counts_by_year":[],"updated_date":"2026-05-07T06:04:25.777469","created_date":"2026-05-06T00:00:00"}
