{"id":"https://openalex.org/W2783038397","doi":"https://doi.org/10.1109/tifs.2017.2787986","title":"Leveraging Content Sensitiveness and User Trustworthiness to Recommend Fine-Grained Privacy Settings for Social Image Sharing","display_name":"Leveraging Content Sensitiveness and User Trustworthiness to Recommend Fine-Grained Privacy Settings for Social Image Sharing","publication_year":2018,"publication_date":"2018-01-08","ids":{"openalex":"https://openalex.org/W2783038397","doi":"https://doi.org/10.1109/tifs.2017.2787986","mag":"2783038397"},"language":"en","primary_location":{"id":"doi:10.1109/tifs.2017.2787986","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tifs.2017.2787986","pdf_url":null,"source":{"id":"https://openalex.org/S61310614","display_name":"IEEE Transactions on Information Forensics and Security","issn_l":"1556-6013","issn":["1556-6013","1556-6021"],"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 Transactions on Information Forensics and Security","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/A5050817770","display_name":"Jun Yu","orcid":"https://orcid.org/0000-0003-1922-7283"},"institutions":[{"id":"https://openalex.org/I102149020","display_name":"University of North Carolina at Charlotte","ror":"https://ror.org/04dawnj30","country_code":"US","type":"education","lineage":["https://openalex.org/I102149020"]},{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN","US"],"is_corresponding":true,"raw_author_name":"Jun Yu","raw_affiliation_strings":["School of Computer Science, Hangzhou Dianzi University, Hangzhou, China","UNC-Charlotte, Charlotte, NC, USA"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Hangzhou Dianzi University, Hangzhou, China","institution_ids":["https://openalex.org/I50760025"]},{"raw_affiliation_string":"UNC-Charlotte, Charlotte, NC, USA","institution_ids":["https://openalex.org/I102149020"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100728568","display_name":"Zhenzhong Kuang","orcid":"https://orcid.org/0000-0002-8768-8324"},"institutions":[{"id":"https://openalex.org/I102149020","display_name":"University of North Carolina at Charlotte","ror":"https://ror.org/04dawnj30","country_code":"US","type":"education","lineage":["https://openalex.org/I102149020"]},{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN","US"],"is_corresponding":false,"raw_author_name":"Zhenzhong Kuang","raw_affiliation_strings":["School of Computer Science, Hangzhou Dianzi University, Hangzhou, China","UNC-Charlotte, Charlotte, NC, USA"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Hangzhou Dianzi University, Hangzhou, China","institution_ids":["https://openalex.org/I50760025"]},{"raw_affiliation_string":"UNC-Charlotte, Charlotte, NC, USA","institution_ids":["https://openalex.org/I102149020"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054557971","display_name":"Baopeng Zhang","orcid":"https://orcid.org/0000-0003-2592-2354"},"institutions":[{"id":"https://openalex.org/I102149020","display_name":"University of North Carolina at Charlotte","ror":"https://ror.org/04dawnj30","country_code":"US","type":"education","lineage":["https://openalex.org/I102149020"]},{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN","US"],"is_corresponding":false,"raw_author_name":"Baopeng Zhang","raw_affiliation_strings":["School of Computer and Information Technology, Beijing Jiaotong University, Beijing, China","UNC-Charlotte, Charlotte, NC, USA"],"affiliations":[{"raw_affiliation_string":"School of Computer and Information Technology, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]},{"raw_affiliation_string":"UNC-Charlotte, Charlotte, NC, USA","institution_ids":["https://openalex.org/I102149020"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100441587","display_name":"Wei Zhang","orcid":"https://orcid.org/0000-0002-2358-8543"},"institutions":[{"id":"https://openalex.org/I102149020","display_name":"University of North Carolina at Charlotte","ror":"https://ror.org/04dawnj30","country_code":"US","type":"education","lineage":["https://openalex.org/I102149020"]},{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN","US"],"is_corresponding":false,"raw_author_name":"Wei Zhang","raw_affiliation_strings":["School of Computer Science, Fudan University, Shanghai, China","UNC-Charlotte, Charlotte, NC, USA"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]},{"raw_affiliation_string":"UNC-Charlotte, Charlotte, NC, USA","institution_ids":["https://openalex.org/I102149020"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101655052","display_name":"Dan Lin","orcid":"https://orcid.org/0000-0002-3062-8240"},"institutions":[{"id":"https://openalex.org/I20382870","display_name":"Missouri University of Science and Technology","ror":"https://ror.org/00scwqd12","country_code":"US","type":"education","lineage":["https://openalex.org/I20382870"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dan Lin","raw_affiliation_strings":["Department of Computer Science, Missouri University of Science and Technology, Rolla, MO, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Missouri University of Science and Technology, Rolla, MO, USA","institution_ids":["https://openalex.org/I20382870"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100728564","display_name":"Jianping Fan","orcid":"https://orcid.org/0000-0002-4923-0910"},"institutions":[{"id":"https://openalex.org/I102149020","display_name":"University of North Carolina at Charlotte","ror":"https://ror.org/04dawnj30","country_code":"US","type":"education","lineage":["https://openalex.org/I102149020"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jianping Fan","raw_affiliation_strings":["Department of Computer Science, UNC-Charlotte, Charlotte, NC, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, UNC-Charlotte, Charlotte, NC, USA","institution_ids":["https://openalex.org/I102149020"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5050817770"],"corresponding_institution_ids":["https://openalex.org/I102149020","https://openalex.org/I50760025"],"apc_list":null,"apc_paid":null,"fwci":25.2154,"has_fulltext":false,"cited_by_count":207,"citation_normalized_percentile":{"value":0.99544704,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"13","issue":"5","first_page":"1317","last_page":"1332"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9980000257492065,"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":0.9980000257492065,"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/T11045","display_name":"Privacy, Security, and Data Protection","score":0.9969000220298767,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":0.9919000267982483,"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":0.8616735935211182},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.8033654689788818},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6082309484481812},{"id":"https://openalex.org/keywords/image-sharing","display_name":"Image sharing","score":0.49601659178733826},{"id":"https://openalex.org/keywords/user-generated-content","display_name":"User-generated content","score":0.48978519439697266},{"id":"https://openalex.org/keywords/social-network","display_name":"Social network (sociolinguistics)","score":0.4836219847202301},{"id":"https://openalex.org/keywords/trustworthiness","display_name":"Trustworthiness","score":0.47318506240844727},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.4621707797050476},{"id":"https://openalex.org/keywords/internet-privacy","display_name":"Internet privacy","score":0.39726322889328003},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3820748031139374},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.3780011236667633},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.36477184295654297},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.28796643018722534}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8616735935211182},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.8033654689788818},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6082309484481812},{"id":"https://openalex.org/C2780639701","wikidata":"https://www.wikidata.org/wiki/Q354869","display_name":"Image sharing","level":3,"score":0.49601659178733826},{"id":"https://openalex.org/C101293273","wikidata":"https://www.wikidata.org/wiki/Q579716","display_name":"User-generated content","level":3,"score":0.48978519439697266},{"id":"https://openalex.org/C4727928","wikidata":"https://www.wikidata.org/wiki/Q17164759","display_name":"Social network (sociolinguistics)","level":3,"score":0.4836219847202301},{"id":"https://openalex.org/C153701036","wikidata":"https://www.wikidata.org/wiki/Q659974","display_name":"Trustworthiness","level":2,"score":0.47318506240844727},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4621707797050476},{"id":"https://openalex.org/C108827166","wikidata":"https://www.wikidata.org/wiki/Q175975","display_name":"Internet privacy","level":1,"score":0.39726322889328003},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3820748031139374},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.3780011236667633},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36477184295654297},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.28796643018722534}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tifs.2017.2787986","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tifs.2017.2787986","pdf_url":null,"source":{"id":"https://openalex.org/S61310614","display_name":"IEEE Transactions on Information Forensics and Security","issn_l":"1556-6013","issn":["1556-6013","1556-6021"],"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 Transactions on Information Forensics and Security","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.7699999809265137}],"awards":[{"id":"https://openalex.org/G3688703063","display_name":null,"funder_award_id":"61622205","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4315259039","display_name":null,"funder_award_id":"1651455-CNS","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G5989102476","display_name":null,"funder_award_id":"61772161","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G843172749","display_name":null,"funder_award_id":"1651166-CNS","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G8949948","display_name":null,"funder_award_id":"61472110","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":85,"referenced_works":["https://openalex.org/W56861607","https://openalex.org/W168087971","https://openalex.org/W303332168","https://openalex.org/W1231049878","https://openalex.org/W1677182931","https://openalex.org/W1678406189","https://openalex.org/W1686810756","https://openalex.org/W1903029394","https://openalex.org/W1923697677","https://openalex.org/W1931270512","https://openalex.org/W1938425378","https://openalex.org/W1945608308","https://openalex.org/W1948751323","https://openalex.org/W1970010785","https://openalex.org/W1971541070","https://openalex.org/W1979796619","https://openalex.org/W1988345122","https://openalex.org/W1991976249","https://openalex.org/W2024436353","https://openalex.org/W2032005881","https://openalex.org/W2041861657","https://openalex.org/W2043338008","https://openalex.org/W2046194920","https://openalex.org/W2052307588","https://openalex.org/W2060152944","https://openalex.org/W2067191635","https://openalex.org/W2067624665","https://openalex.org/W2068888753","https://openalex.org/W2075223493","https://openalex.org/W2075456404","https://openalex.org/W2095705004","https://openalex.org/W2096214761","https://openalex.org/W2097117768","https://openalex.org/W2108450732","https://openalex.org/W2109552397","https://openalex.org/W2110119381","https://openalex.org/W2112796928","https://openalex.org/W2113005879","https://openalex.org/W2113227937","https://openalex.org/W2113533904","https://openalex.org/W2121863839","https://openalex.org/W2122704742","https://openalex.org/W2124592697","https://openalex.org/W2136451880","https://openalex.org/W2137123670","https://openalex.org/W2145287260","https://openalex.org/W2145641445","https://openalex.org/W2147880316","https://openalex.org/W2154685734","https://openalex.org/W2155461593","https://openalex.org/W2155541015","https://openalex.org/W2155893237","https://openalex.org/W2161343988","https://openalex.org/W2163605009","https://openalex.org/W2166004778","https://openalex.org/W2167113943","https://openalex.org/W2168407626","https://openalex.org/W2169177311","https://openalex.org/W2258555827","https://openalex.org/W2275532190","https://openalex.org/W2322701221","https://openalex.org/W2325939864","https://openalex.org/W2414927838","https://openalex.org/W2536627426","https://openalex.org/W2541147637","https://openalex.org/W2559975580","https://openalex.org/W2618530766","https://openalex.org/W2950274894","https://openalex.org/W2963073614","https://openalex.org/W2963420272","https://openalex.org/W2963749936","https://openalex.org/W4294375521","https://openalex.org/W4298289240","https://openalex.org/W6610792082","https://openalex.org/W6636914475","https://openalex.org/W6637373629","https://openalex.org/W6640295612","https://openalex.org/W6640383297","https://openalex.org/W6674330103","https://openalex.org/W6682082992","https://openalex.org/W6682778277","https://openalex.org/W6684191040","https://openalex.org/W6684872329","https://openalex.org/W6728672506","https://openalex.org/W6944896886"],"related_works":["https://openalex.org/W2965546495","https://openalex.org/W4389116644","https://openalex.org/W2153315159","https://openalex.org/W3103844505","https://openalex.org/W259157601","https://openalex.org/W4205463238","https://openalex.org/W2761785940","https://openalex.org/W2110523656","https://openalex.org/W1482209366","https://openalex.org/W3125676757"],"abstract_inverted_index":{"To":[0],"configure":[1],"successful":[2],"privacy":[3,46,140],"settings":[4,47,141],"for":[5,48,116,142],"social":[6,49,100,109,143],"image":[7,50,58,123,144],"sharing,":[8],"two":[9,39,62],"issues":[10,41],"are":[11,64,102,130],"inseparable:":[12],"1)":[13,66],"content":[14,59,124],"sensitiveness":[15,60,125],"of":[16,24,57,107,157],"the":[17,25,31,99,122,127,152,155],"images":[18],"being":[19,27],"shared;":[20],"and":[21,78,94,126,154],"2)":[22,79],"trustworthiness":[23,118,129],"users":[26,97],"granted":[28],"to":[29,36,43,72,88,111,132,137],"see":[30],"images.":[32],"This":[33],"paper":[34],"aims":[35],"consider":[37],"these":[38],"inseparable":[40],"simultaneously":[42],"recommend":[44,138],"fine-grained":[45,139],"sharing.":[51,145],"For":[52],"achieving":[53],"more":[54],"compact":[55],"representation":[56],"(privacy),":[61],"approaches":[63],"developed:":[65],"a":[67,80,105,113,134],"deep":[68,76,81],"network":[69,101],"is":[70,86],"adapted":[71],"extract":[73],"1024-D":[74],"discriminative":[75,114],"features;":[77],"multiple":[82],"instance":[83],"learning":[84],"algorithm":[85],"adopted":[87],"identify":[89],"280":[90],"privacy-sensitive":[91],"object":[92],"classes":[93],"events.":[95],"Second,":[96],"on":[98],"clustered":[103],"into":[104],"set":[106],"representative":[108],"groups":[110],"generate":[112],"dictionary":[115],"user":[117,128],"characterization.":[119],"Finally,":[120],"both":[121,151],"integrated":[131],"train":[133],"tree":[135],"classifier":[136],"Our":[146],"experimental":[147],"studies":[148],"have":[149],"demonstrated":[150],"efficiency":[153],"effectiveness":[156],"our":[158],"proposed":[159],"algorithms.":[160]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":14},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":18},{"year":2022,"cited_by_count":18},{"year":2021,"cited_by_count":25},{"year":2020,"cited_by_count":54},{"year":2019,"cited_by_count":58},{"year":2018,"cited_by_count":12}],"updated_date":"2026-04-14T08:04:32.555800","created_date":"2025-10-10T00:00:00"}
