{"id":"https://openalex.org/W3093048820","doi":"https://doi.org/10.1145/3394171.3414047","title":"Privacy-Preserving Visual Content Tagging using Graph Transformer Networks","display_name":"Privacy-Preserving Visual Content Tagging using Graph Transformer Networks","publication_year":2020,"publication_date":"2020-10-12","ids":{"openalex":"https://openalex.org/W3093048820","doi":"https://doi.org/10.1145/3394171.3414047","mag":"3093048820"},"language":"en","primary_location":{"id":"doi:10.1145/3394171.3414047","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3394171.3414047","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3394171.3414047","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 28th ACM International Conference on Multimedia","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3394171.3414047","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5028720787","display_name":"Xuan-Son Vu","orcid":"https://orcid.org/0000-0001-8820-2405"},"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":true,"raw_author_name":"Xuan-Son Vu","raw_affiliation_strings":["Ume\u00e5 University, Ume\u00e5, Sweden"],"affiliations":[{"raw_affiliation_string":"Ume\u00e5 University, Ume\u00e5, Sweden","institution_ids":["https://openalex.org/I90267481"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101555110","display_name":"Duc-Trong Le","orcid":"https://orcid.org/0000-0003-4621-8956"},"institutions":[{"id":"https://openalex.org/I177233841","display_name":"Vietnam National University, Hanoi","ror":"https://ror.org/02jmfj006","country_code":"VN","type":"education","lineage":["https://openalex.org/I177233841"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Duc-Trong Le","raw_affiliation_strings":["Vietnam National Univeristy, Hanoi, Vietnam"],"affiliations":[{"raw_affiliation_string":"Vietnam National Univeristy, Hanoi, Vietnam","institution_ids":["https://openalex.org/I177233841"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081044012","display_name":"Christoffer Edlund","orcid":"https://orcid.org/0000-0003-0003-3681"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Christoffer Edlund","raw_affiliation_strings":["Sartorius AG, Ume\u00e5, Sweden"],"affiliations":[{"raw_affiliation_string":"Sartorius AG, Ume\u00e5, Sweden","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013135449","display_name":"Lili Jiang","orcid":"https://orcid.org/0000-0002-7788-3986"},"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":"Lili Jiang","raw_affiliation_strings":["Umea University, Ume\u00e5, Sweden"],"affiliations":[{"raw_affiliation_string":"Umea University, Ume\u00e5, Sweden","institution_ids":["https://openalex.org/I90267481"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101843337","display_name":"Hoang D. Nguyen","orcid":null},"institutions":[{"id":"https://openalex.org/I4210158759","display_name":"University of Glasgow Singapore","ror":"https://ror.org/05jzgzx91","country_code":"SG","type":"education","lineage":["https://openalex.org/I4210158759"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Hoang D. Nguyen","raw_affiliation_strings":["University of Glasgow, Singapore, Scotland Uk"],"affiliations":[{"raw_affiliation_string":"University of Glasgow, Singapore, Scotland Uk","institution_ids":["https://openalex.org/I4210158759"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5028720787"],"corresponding_institution_ids":["https://openalex.org/I90267481"],"apc_list":null,"apc_paid":null,"fwci":1.9202,"has_fulltext":true,"cited_by_count":21,"citation_normalized_percentile":{"value":0.88987576,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"2299","last_page":"2307"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9997000098228455,"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/T10764","display_name":"Privacy-Preserving Technologies in Data","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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9988999962806702,"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/T10203","display_name":"Recommender Systems and Techniques","score":0.9843000173568726,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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":0.8679652214050293},{"id":"https://openalex.org/keywords/differential-privacy","display_name":"Differential privacy","score":0.691173791885376},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5451745390892029},{"id":"https://openalex.org/keywords/information-privacy","display_name":"Information privacy","score":0.5143874287605286},{"id":"https://openalex.org/keywords/the-internet","display_name":"The Internet","score":0.4932200312614441},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.44613271951675415},{"id":"https://openalex.org/keywords/private-information-retrieval","display_name":"Private information retrieval","score":0.4351348578929901},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.4221663475036621},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.39657220244407654},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.2980690002441406},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.25661125779151917},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.1927395761013031}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8679652214050293},{"id":"https://openalex.org/C23130292","wikidata":"https://www.wikidata.org/wiki/Q5275358","display_name":"Differential privacy","level":2,"score":0.691173791885376},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5451745390892029},{"id":"https://openalex.org/C123201435","wikidata":"https://www.wikidata.org/wiki/Q456632","display_name":"Information privacy","level":2,"score":0.5143874287605286},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.4932200312614441},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.44613271951675415},{"id":"https://openalex.org/C99221444","wikidata":"https://www.wikidata.org/wiki/Q1532069","display_name":"Private information retrieval","level":2,"score":0.4351348578929901},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4221663475036621},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.39657220244407654},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.2980690002441406},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.25661125779151917},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.1927395761013031},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1145/3394171.3414047","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3394171.3414047","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3394171.3414047","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 28th ACM International Conference on Multimedia","raw_type":"proceedings-article"},{"id":"pmh:oai:eprints.gla.ac.uk:234689","is_oa":true,"landing_page_url":"https://eprints.gla.ac.uk/view/author/47331.html>","pdf_url":null,"source":{"id":"https://openalex.org/S4210235606","display_name":"ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam)","issn_l":"2622-8912","issn":["2622-8912","2622-8920"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"PeerReviewed"},{"id":"pmh:oai:DiVA.org:umu-175288","is_oa":true,"landing_page_url":"http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-175288","pdf_url":null,"source":{"id":"https://openalex.org/S4306400361","display_name":"DiVA at Ume\u00e5 University (Ume\u00e5 University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I90267481","host_organization_name":"Ume\u00e5 University","host_organization_lineage":["https://openalex.org/I90267481"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference paper"}],"best_oa_location":{"id":"doi:10.1145/3394171.3414047","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3394171.3414047","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3394171.3414047","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 28th ACM International Conference on Multimedia","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.5199999809265137}],"awards":[],"funders":[{"id":"https://openalex.org/F4320322971","display_name":"Ume\u00e5 Universitet","ror":"https://ror.org/05kb8h459"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3093048820.pdf","grobid_xml":"https://content.openalex.org/works/W3093048820.grobid-xml"},"referenced_works_count":50,"referenced_works":["https://openalex.org/W1538131130","https://openalex.org/W1861492603","https://openalex.org/W1972393442","https://openalex.org/W1977843657","https://openalex.org/W2001642682","https://openalex.org/W2051267297","https://openalex.org/W2053565832","https://openalex.org/W2064675550","https://openalex.org/W2080133951","https://openalex.org/W2098622176","https://openalex.org/W2129061523","https://openalex.org/W2133128938","https://openalex.org/W2146241755","https://openalex.org/W2151103935","https://openalex.org/W2153689444","https://openalex.org/W2161229593","https://openalex.org/W2168356304","https://openalex.org/W2194775991","https://openalex.org/W2250539671","https://openalex.org/W2473418344","https://openalex.org/W2515312139","https://openalex.org/W2519887557","https://openalex.org/W2549955619","https://openalex.org/W2602856279","https://openalex.org/W2617837836","https://openalex.org/W2770929279","https://openalex.org/W2785390762","https://openalex.org/W2788321882","https://openalex.org/W2880875857","https://openalex.org/W2884985453","https://openalex.org/W2901056065","https://openalex.org/W2914349171","https://openalex.org/W2922613578","https://openalex.org/W2932399282","https://openalex.org/W2943152387","https://openalex.org/W2963313259","https://openalex.org/W2963341956","https://openalex.org/W2963697527","https://openalex.org/W2963745697","https://openalex.org/W2963875806","https://openalex.org/W2970066309","https://openalex.org/W2976845662","https://openalex.org/W2990202188","https://openalex.org/W3006663570","https://openalex.org/W3034656463","https://openalex.org/W3047623830","https://openalex.org/W4240153047","https://openalex.org/W4256494796","https://openalex.org/W4301409532","https://openalex.org/W4303105513"],"related_works":["https://openalex.org/W3038283795","https://openalex.org/W2604501336","https://openalex.org/W2734500670","https://openalex.org/W2558166297","https://openalex.org/W2315671126","https://openalex.org/W798507144","https://openalex.org/W2964481303","https://openalex.org/W1751413323","https://openalex.org/W2571704763","https://openalex.org/W2596305496"],"abstract_inverted_index":{"With":[0],"the":[1,54,101,126,131],"rapid":[2],"growth":[3],"of":[4,45,56,80,103,133,147],"Internet":[5],"media,":[6],"content":[7],"tagging":[8,27],"has":[9],"become":[10],"an":[11,63,144],"important":[12],"topic":[13],"with":[14,53],"many":[15],"multimedia":[16],"understanding":[17],"applications,":[18],"including":[19],"efficient":[20],"organisation":[21],"and":[22,47,70,77,95,150,156],"search.":[23],"Nevertheless,":[24],"existing":[25],"visual":[26,81],"approaches":[28],"are":[29],"susceptible":[30],"to":[31,73,99,129],"inherent":[32],"privacy":[33,78,91,102,151],"risks":[34],"in":[35,114,125],"which":[36],"private":[37,157],"information":[38],"may":[39],"be":[40],"exposed":[41],"unintentionally.":[42],"The":[43],"use":[44],"anonymisation":[46],"privacy-protection":[48],"methods":[49],"is":[50],"desirable,":[51],"but":[52],"expense":[55],"task":[57],"performance.":[58],"Therefore,":[59],"this":[60],"paper":[61],"proposes":[62],"end-to-end":[64],"framework":[65],"(SGTN)":[66],"using":[67],"Graph":[68],"Transformer":[69],"Convolutional":[71],"Networks":[72],"significantly":[74],"improve":[75],"classification":[76],"preservation":[79,152],"data.":[82],"Especially,":[83],"we":[84,120],"employ":[85],"several":[86],"mechanisms":[87],"such":[88],"as":[89],"differential":[90],"based":[92],"graph":[93,97],"construction":[94],"noise-induced":[96],"transformation":[98],"protect":[100],"knowledge":[104],"graphs.":[105],"Our":[106],"approach":[107,142],"unveils":[108],"new":[109],"state-of-the-art":[110],"on":[111,153],"MS-COCO":[112],"dataset":[113],"various":[115],"semi-supervised":[116],"settings.":[117],"In":[118],"addition,":[119],"showcase":[121],"a":[122],"real":[123],"experiment":[124],"education":[127],"domain":[128],"address":[130],"automation":[132],"sensitive":[134],"document":[135],"tagging.":[136],"Experimental":[137],"results":[138],"show":[139],"that":[140],"our":[141],"achieves":[143],"excellent":[145],"balance":[146],"model":[148],"accuracy":[149],"both":[154],"public":[155],"datasets.":[158]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1}],"updated_date":"2026-03-17T09:09:15.849793","created_date":"2025-10-10T00:00:00"}