{"id":"https://openalex.org/W3041804732","doi":"https://doi.org/10.1145/3381088","title":"An Image Privacy Protection Algorithm Based on Adversarial Perturbation Generative Networks","display_name":"An Image Privacy Protection Algorithm Based on Adversarial Perturbation Generative Networks","publication_year":2020,"publication_date":"2020-07-07","ids":{"openalex":"https://openalex.org/W3041804732","doi":"https://doi.org/10.1145/3381088","mag":"3041804732"},"language":"en","primary_location":{"id":"doi:10.1145/3381088","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3381088","pdf_url":null,"source":{"id":"https://openalex.org/S19610489","display_name":"ACM Transactions on Multimedia Computing Communications and Applications","issn_l":"1551-6857","issn":["1551-6857","1551-6865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Multimedia Computing, Communications, and Applications","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/A5038117386","display_name":"Chao Tong","orcid":"https://orcid.org/0000-0003-4414-4965"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chao Tong","raw_affiliation_strings":["Beihang University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beihang University, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071932467","display_name":"Mengze Zhang","orcid":"https://orcid.org/0000-0002-8774-4568"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mengze Zhang","raw_affiliation_strings":["Beihang University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beihang University, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047910404","display_name":"Chao Lang","orcid":"https://orcid.org/0000-0001-8212-4450"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chao Lang","raw_affiliation_strings":["Beihang University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beihang University, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110677544","display_name":"Zhigao Zheng","orcid":null},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhigao Zheng","raw_affiliation_strings":["Huazhong University of Science and Technology, China"],"raw_orcid":"https://orcid.org/0000-0002-8774-4568","affiliations":[{"raw_affiliation_string":"Huazhong University of Science and Technology, China","institution_ids":["https://openalex.org/I47720641"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.9479,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.81024617,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"17","issue":"2","first_page":"1","last_page":"14"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9993000030517578,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9993000030517578,"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/T12357","display_name":"Digital Media Forensic Detection","score":0.9973000288009644,"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/T11448","display_name":"Face recognition and analysis","score":0.9952999949455261,"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":0.8687503933906555},{"id":"https://openalex.org/keywords/upload","display_name":"Upload","score":0.7078835368156433},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.6680760383605957},{"id":"https://openalex.org/keywords/generative-adversarial-network","display_name":"Generative adversarial network","score":0.48575833439826965},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47570735216140747},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.44695883989334106},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4307028651237488},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.39733171463012695},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3928689956665039},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.35406091809272766}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8687503933906555},{"id":"https://openalex.org/C71901391","wikidata":"https://www.wikidata.org/wiki/Q7126699","display_name":"Upload","level":2,"score":0.7078835368156433},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.6680760383605957},{"id":"https://openalex.org/C2988773926","wikidata":"https://www.wikidata.org/wiki/Q25104379","display_name":"Generative adversarial network","level":3,"score":0.48575833439826965},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47570735216140747},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.44695883989334106},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4307028651237488},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.39733171463012695},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3928689956665039},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.35406091809272766},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3381088","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3381088","pdf_url":null,"source":{"id":"https://openalex.org/S19610489","display_name":"ACM Transactions on Multimedia Computing Communications and Applications","issn_l":"1551-6857","issn":["1551-6857","1551-6865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Multimedia Computing, Communications, and Applications","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.6600000262260437}],"awards":[{"id":"https://openalex.org/G1094536670","display_name":null,"funder_award_id":"61472024, U1433203","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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1945616565","https://openalex.org/W1981743035","https://openalex.org/W2037227137","https://openalex.org/W2041861657","https://openalex.org/W2043338008","https://openalex.org/W2154685734","https://openalex.org/W2168407626","https://openalex.org/W2285252196","https://openalex.org/W2414927838","https://openalex.org/W2531563875","https://openalex.org/W2559975580","https://openalex.org/W2594717275","https://openalex.org/W2605289356","https://openalex.org/W2739978749","https://openalex.org/W2944015313","https://openalex.org/W2956763286","https://openalex.org/W2963149332","https://openalex.org/W2963566548","https://openalex.org/W2990138404","https://openalex.org/W3121197550","https://openalex.org/W4293580221"],"related_works":["https://openalex.org/W2502115930","https://openalex.org/W2482350142","https://openalex.org/W4246396837","https://openalex.org/W3126451824","https://openalex.org/W1561927205","https://openalex.org/W4385421777","https://openalex.org/W4283758926","https://openalex.org/W4391454837","https://openalex.org/W3047603829","https://openalex.org/W4295035300"],"abstract_inverted_index":{"Today,":[0],"users":[1],"of":[2,9,62,112,163,174],"social":[3],"platforms":[4],"upload":[5],"a":[6,78],"large":[7],"number":[8],"photos.":[10],"These":[11],"photos":[12],"contain":[13],"personal":[14],"private":[15,49],"information,":[16,20,50],"including":[17],"user":[18],"identity":[19],"which":[21],"is":[22],"easily":[23],"gleaned":[24],"by":[25,74,101,133],"intelligent":[26,38],"detection":[27],"algorithms.":[28],"To":[29],"thwart":[30],"this,":[31],"in":[32],"this":[33],"work,":[34],"we":[35,67,91],"propose":[36,92],"an":[37,69,93,103],"algorithm":[39,73,123],"to":[40,85,108,159],"prevent":[41],"deep":[42],"neural":[43],"network":[44,107],"(DNN)":[45],"detectors":[46,154],"from":[47],"detecting":[48],"especially":[51],"human":[52],"faces,":[53],"while":[54,155],"minimizing":[55],"the":[56,59,63,98,160,172],"impact":[57,158],"on":[58,97,127],"visual":[60,161],"quality":[61,162],"image.":[64,116],"More":[65],"specifically,":[66],"design":[68],"image":[70,84],"privacy":[71],"protection":[72],"training":[75,102,113],"and":[76,119,131,141,165],"generating":[77],"corresponding":[79],"adversarial":[80,104,175],"sample":[81],"for":[82,114],"each":[83,115],"defend":[86],"DNN":[87,153],"detectors.":[88],"In":[89],"addition,":[90],"improved":[94,167],"model":[95,100,168],"based":[96],"previous":[99],"perturbation":[105,110],"generative":[106],"generate":[109],"instead":[111],"We":[117],"evaluate":[118],"compare":[120],"our":[121,148,166],"proposed":[122],"with":[124,152],"other":[125],"methods":[126],"wider":[128],"face":[129],"dataset":[130],"others":[132],"three":[134],"indicators:":[135],"Mean":[136],"average":[137],"precision,":[138],"Averaged":[139],"distortion,":[140],"Time":[142],"spent.":[143],"The":[144],"results":[145],"show":[146],"that":[147],"method":[149],"significantly":[150],"interferes":[151],"causing":[156],"weak":[157],"images,":[164],"does":[169],"speed":[170],"up":[171],"generation":[173],"perturbations.":[176]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}