{"id":"https://openalex.org/W7124740455","doi":"https://doi.org/10.1049/cmu2.70128","title":"A Contrastive GAN\u2010Based Framework for Full\u2010Body Visual Privacy Protection in Open World Scenarios","display_name":"A Contrastive GAN\u2010Based Framework for Full\u2010Body Visual Privacy Protection in Open World Scenarios","publication_year":2026,"publication_date":"2026-01-01","ids":{"openalex":"https://openalex.org/W7124740455","doi":"https://doi.org/10.1049/cmu2.70128"},"language":"en","primary_location":{"id":"doi:10.1049/cmu2.70128","is_oa":true,"landing_page_url":"https://doi.org/10.1049/cmu2.70128","pdf_url":"https://onlinelibrary.wiley.com/doi/pdfdirect/10.1049/cmu2.70128","source":{"id":"https://openalex.org/S85427048","display_name":"IET Communications","issn_l":"1751-8628","issn":["1751-8628","1751-8636"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310311714","host_organization_name":"Institution of Engineering and Technology","host_organization_lineage":["https://openalex.org/P4310311714"],"host_organization_lineage_names":["Institution of Engineering and Technology"],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IET Communications","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://onlinelibrary.wiley.com/doi/pdfdirect/10.1049/cmu2.70128","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5123291647","display_name":"Haolong Fu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210122501","display_name":"Hunan Xiangdian Test Research Institute (China)","ror":"https://ror.org/0391pty66","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210122501"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Haolong Fu","raw_affiliation_strings":["Hunan Vanguard Group Corporation Limited Changsha China"],"raw_orcid":"https://orcid.org/0000-0002-7903-6414","affiliations":[{"raw_affiliation_string":"Hunan Vanguard Group Corporation Limited Changsha China","institution_ids":["https://openalex.org/I4210122501"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5123318219","display_name":"Xuan He","orcid":null},"institutions":[{"id":"https://openalex.org/I4210122501","display_name":"Hunan Xiangdian Test Research Institute (China)","ror":"https://ror.org/0391pty66","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210122501"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuan He","raw_affiliation_strings":["Hunan Vanguard Group Corporation Limited Changsha China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hunan Vanguard Group Corporation Limited Changsha China","institution_ids":["https://openalex.org/I4210122501"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5123291647"],"corresponding_institution_ids":["https://openalex.org/I4210122501"],"apc_list":{"value":2000,"currency":"EUR","value_usd":2200},"apc_paid":{"value":2000,"currency":"EUR","value_usd":2200},"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.10395494,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"20","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.25940001010894775,"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"}},"topics":[{"id":"https://openalex.org/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.25940001010894775,"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"}},{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.12720000743865967,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.10660000145435333,"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/stylized-fact","display_name":"Stylized fact","score":0.781000018119812},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.573199987411499},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4839000105857849},{"id":"https://openalex.org/keywords/backdoor","display_name":"Backdoor","score":0.4611999988555908},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.45820000767707825},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4569000005722046},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.4327000081539154},{"id":"https://openalex.org/keywords/information-privacy","display_name":"Information privacy","score":0.42899999022483826},{"id":"https://openalex.org/keywords/mode","display_name":"Mode (computer interface)","score":0.4009999930858612}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8348000049591064},{"id":"https://openalex.org/C38935604","wikidata":"https://www.wikidata.org/wiki/Q4330363","display_name":"Stylized fact","level":2,"score":0.781000018119812},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.573199987411499},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4959000051021576},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4839000105857849},{"id":"https://openalex.org/C2781045450","wikidata":"https://www.wikidata.org/wiki/Q254569","display_name":"Backdoor","level":2,"score":0.4611999988555908},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.45820000767707825},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4569000005722046},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.4327000081539154},{"id":"https://openalex.org/C123201435","wikidata":"https://www.wikidata.org/wiki/Q456632","display_name":"Information privacy","level":2,"score":0.42899999022483826},{"id":"https://openalex.org/C48677424","wikidata":"https://www.wikidata.org/wiki/Q6888088","display_name":"Mode (computer interface)","level":2,"score":0.4009999930858612},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.39660000801086426},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.3849000036716461},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.366100013256073},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.35679998993873596},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.34529998898506165},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.3361999988555908},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.3361000120639801},{"id":"https://openalex.org/C2777508537","wikidata":"https://www.wikidata.org/wiki/Q7936620","display_name":"Visual reasoning","level":2,"score":0.32030001282691956},{"id":"https://openalex.org/C160086991","wikidata":"https://www.wikidata.org/wiki/Q5939193","display_name":"Human visual system model","level":3,"score":0.3050000071525574},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.2971000075340271},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.28769999742507935},{"id":"https://openalex.org/C65909025","wikidata":"https://www.wikidata.org/wiki/Q1945033","display_name":"Monocular","level":2,"score":0.2870999872684479},{"id":"https://openalex.org/C3017597292","wikidata":"https://www.wikidata.org/wiki/Q25052250","display_name":"Privacy protection","level":2,"score":0.28130000829696655},{"id":"https://openalex.org/C2780061478","wikidata":"https://www.wikidata.org/wiki/Q375857","display_name":"Gamut","level":2,"score":0.2703000009059906},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.26269999146461487},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.2590999901294708},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.25380000472068787}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1049/cmu2.70128","is_oa":true,"landing_page_url":"https://doi.org/10.1049/cmu2.70128","pdf_url":"https://onlinelibrary.wiley.com/doi/pdfdirect/10.1049/cmu2.70128","source":{"id":"https://openalex.org/S85427048","display_name":"IET Communications","issn_l":"1751-8628","issn":["1751-8628","1751-8636"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310311714","host_organization_name":"Institution of Engineering and Technology","host_organization_lineage":["https://openalex.org/P4310311714"],"host_organization_lineage_names":["Institution of Engineering and Technology"],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IET Communications","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1049/cmu2.70128","is_oa":true,"landing_page_url":"https://doi.org/10.1049/cmu2.70128","pdf_url":"https://onlinelibrary.wiley.com/doi/pdfdirect/10.1049/cmu2.70128","source":{"id":"https://openalex.org/S85427048","display_name":"IET Communications","issn_l":"1751-8628","issn":["1751-8628","1751-8636"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310311714","host_organization_name":"Institution of Engineering and Technology","host_organization_lineage":["https://openalex.org/P4310311714"],"host_organization_lineage_names":["Institution of Engineering and Technology"],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IET Communications","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.4563252627849579}],"awards":[{"id":"https://openalex.org/G2781639450","display_name":null,"funder_award_id":"61976086","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3384211400","display_name":null,"funder_award_id":"No.61976086","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7124740455.pdf","grobid_xml":"https://content.openalex.org/works/W7124740455.grobid-xml"},"referenced_works_count":37,"referenced_works":["https://openalex.org/W215025509","https://openalex.org/W1969513994","https://openalex.org/W2066255679","https://openalex.org/W2082308025","https://openalex.org/W2416918403","https://openalex.org/W2593414223","https://openalex.org/W2610200611","https://openalex.org/W2783131052","https://openalex.org/W2895856548","https://openalex.org/W2896811630","https://openalex.org/W2914794838","https://openalex.org/W2915946102","https://openalex.org/W2953354017","https://openalex.org/W2962765321","https://openalex.org/W2962793481","https://openalex.org/W2993032149","https://openalex.org/W3012489409","https://openalex.org/W3087801137","https://openalex.org/W3138898594","https://openalex.org/W3141876413","https://openalex.org/W3173372951","https://openalex.org/W3174306763","https://openalex.org/W3179610792","https://openalex.org/W4226240846","https://openalex.org/W4365509943","https://openalex.org/W4383105400","https://openalex.org/W4384007402","https://openalex.org/W4386076336","https://openalex.org/W4393149723","https://openalex.org/W4394805462","https://openalex.org/W4399224994","https://openalex.org/W4399562719","https://openalex.org/W4400800056","https://openalex.org/W4401878786","https://openalex.org/W4405451022","https://openalex.org/W4406845128","https://openalex.org/W4409263637"],"related_works":[],"abstract_inverted_index":{"ABSTRACT":[0],"Generative":[1],"adversarial":[2,110],"networks":[3],"(GANs)":[4],"with":[5],"their":[6],"strong":[7],"generative":[8],"capabilities":[9],"have":[10],"shown":[11],"significant":[12,58],"promise":[13],"in":[14,27,37,48,60,121,127,154,206,235],"visual":[15,24,32,81,102,232],"privacy":[16,25,33,82,103,233],"protection.":[17,104],"However,":[18],"when":[19],"applied":[20],"to":[21,56,86,146,164,199],"image":[22,62,79,193,230],"full\u2010body":[23,80,101,231],"protection":[26,234],"open\u2010world":[28,128,236],"scenarios,":[29],"where":[30],"abnormal":[31,125],"data":[34],"may":[35],"exist":[36],"the":[38,93,122,148,168,171,200,218,225],"training":[39],"data,":[40],"issues":[41],"such":[42],"as":[43],"mode":[44,116,187],"collapse":[45,117,188],"and":[46,64,118,137,173,189,195,215],"instability":[47],"GANs":[49],"can":[50],"be":[51],"severely":[52],"exacerbated.":[53],"This":[54],"leads":[55],"a":[57,108,133,138,158],"reduction":[59],"both":[61],"quality":[63,194],"utility":[65,196],"preservation.":[66,197],"In":[67],"this":[68,223],"paper,":[69],"we":[70,91,106],"propose":[71,107],"an":[72],"end\u2010to\u2010end,":[73],"contrastive":[74,144],"GANs\u2010based":[75],"framework,":[76],"FBPPGAN,":[77,96],"for":[78,100,229],"protection,":[83],"specifically":[84],"designed":[85],"address":[87,147],"these":[88],"challenges.":[89],"First,":[90],"introduce":[92],"architecture":[94],"of":[95,124,150,208,220],"which":[97],"is":[98,162,224],"tailored":[99],"Second,":[105],"novel":[109],"loss":[111,140,160],"function":[112,141,161],"aimed":[113],"at":[114],"mitigating":[115],"instability,":[119,190],"particularly":[120],"presence":[123],"images":[126],"environments.":[129],"We":[130],"also":[131],"design":[132],"content":[134,139],"mapping":[135],"network":[136],"based":[142],"on":[143],"learning":[145],"issue":[149],"insufficient":[151],"color":[152],"gamut":[153],"generated":[155,172],"images.":[156],"Furthermore,":[157],"stylized":[159],"introduced":[163],"more":[165],"accurately":[166],"measure":[167],"difference":[169],"between":[170],"target":[174],"domains.":[175],"Experimental":[176],"results":[177],"across":[178],"four":[179],"public":[180],"datasets":[181],"demonstrate":[182],"that":[183],"FBPPGAN":[184,204],"effectively":[185],"overcomes":[186],"delivering":[191],"superior":[192],"Compared":[198],"existing":[201],"state\u2010of\u2010the\u2010art":[202],"methods,":[203],"outperforms":[205],"terms":[207],"convergence,":[209],"stability,":[210],"computational":[211],"complexity,":[212],"processing":[213],"speed,":[214],"effectiveness.":[216],"To":[217],"best":[219],"our":[221],"knowledge,":[222],"first":[226],"GAN\u2010based":[227],"framework":[228],"scenarios.":[237]},"counts_by_year":[],"updated_date":"2026-03-08T06:56:09.383167","created_date":"2026-01-20T00:00:00"}