{"id":"https://openalex.org/W2940052067","doi":"https://doi.org/10.1109/icassp.2019.8682225","title":"Scene Privacy Protection","display_name":"Scene Privacy Protection","publication_year":2019,"publication_date":"2019-04-17","ids":{"openalex":"https://openalex.org/W2940052067","doi":"https://doi.org/10.1109/icassp.2019.8682225","mag":"2940052067"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2019.8682225","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2019.8682225","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5021342736","display_name":"Chau Yi Li","orcid":"https://orcid.org/0000-0003-0845-0770"},"institutions":[{"id":"https://openalex.org/I166337079","display_name":"Queen Mary University of London","ror":"https://ror.org/026zzn846","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I166337079"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Chau Yi Li","raw_affiliation_strings":["Centre for Intelligent Sensing, Queen Mary University of London, UK"],"affiliations":[{"raw_affiliation_string":"Centre for Intelligent Sensing, Queen Mary University of London, UK","institution_ids":["https://openalex.org/I166337079"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065455506","display_name":"Ali Shahin Shamsabadi","orcid":"https://orcid.org/0000-0003-2649-8700"},"institutions":[{"id":"https://openalex.org/I166337079","display_name":"Queen Mary University of London","ror":"https://ror.org/026zzn846","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I166337079"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Ali Shahin Shamsabadi","raw_affiliation_strings":["Centre for Intelligent Sensing, Queen Mary University of London, UK"],"affiliations":[{"raw_affiliation_string":"Centre for Intelligent Sensing, Queen Mary University of London, UK","institution_ids":["https://openalex.org/I166337079"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069643347","display_name":"Ricardo S\u00e1nchez-Matilla","orcid":"https://orcid.org/0000-0003-2330-0973"},"institutions":[{"id":"https://openalex.org/I166337079","display_name":"Queen Mary University of London","ror":"https://ror.org/026zzn846","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I166337079"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Ricardo Sanchez-Matilla","raw_affiliation_strings":["Centre for Intelligent Sensing, Queen Mary University of London, UK"],"affiliations":[{"raw_affiliation_string":"Centre for Intelligent Sensing, Queen Mary University of London, UK","institution_ids":["https://openalex.org/I166337079"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091064841","display_name":"Riccardo Mazzon","orcid":null},"institutions":[{"id":"https://openalex.org/I166337079","display_name":"Queen Mary University of London","ror":"https://ror.org/026zzn846","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I166337079"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Riccardo Mazzon","raw_affiliation_strings":["Centre for Intelligent Sensing, Queen Mary University of London, UK"],"affiliations":[{"raw_affiliation_string":"Centre for Intelligent Sensing, Queen Mary University of London, UK","institution_ids":["https://openalex.org/I166337079"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004087827","display_name":"Andrea Cavallaro","orcid":"https://orcid.org/0000-0001-5086-7858"},"institutions":[{"id":"https://openalex.org/I166337079","display_name":"Queen Mary University of London","ror":"https://ror.org/026zzn846","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I166337079"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Andrea Cavallaro","raw_affiliation_strings":["Centre for Intelligent Sensing, Queen Mary University of London, UK"],"affiliations":[{"raw_affiliation_string":"Centre for Intelligent Sensing, Queen Mary University of London, UK","institution_ids":["https://openalex.org/I166337079"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5021342736"],"corresponding_institution_ids":["https://openalex.org/I166337079"],"apc_list":null,"apc_paid":null,"fwci":2.6603,"has_fulltext":false,"cited_by_count":26,"citation_normalized_percentile":{"value":0.9219374,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"2502","last_page":"2506"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9997000098228455,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","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/T10388","display_name":"Advanced Steganography and Watermarking Techniques","score":0.9995999932289124,"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/T12357","display_name":"Digital Media Forensic Detection","score":0.9993000030517578,"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":0.755574643611908},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.7292836904525757},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.7032113671302795},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5478845834732056},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.49700072407722473},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.43744727969169617},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3826436996459961},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.36589670181274414},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.34747937321662903},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.25156205892562866},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.12117764353752136}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.755574643611908},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.7292836904525757},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.7032113671302795},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5478845834732056},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.49700072407722473},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.43744727969169617},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3826436996459961},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.36589670181274414},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.34747937321662903},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.25156205892562866},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.12117764353752136}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2019.8682225","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2019.8682225","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.699999988079071,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W1852980076","https://openalex.org/W1945616565","https://openalex.org/W1982471090","https://openalex.org/W2127146043","https://openalex.org/W2133665775","https://openalex.org/W2134670479","https://openalex.org/W2167113943","https://openalex.org/W2169740160","https://openalex.org/W2243397390","https://openalex.org/W2543927648","https://openalex.org/W2556591076","https://openalex.org/W2732026016","https://openalex.org/W2736125956","https://openalex.org/W2770975812","https://openalex.org/W2795727551","https://openalex.org/W2798729263","https://openalex.org/W2910325556","https://openalex.org/W2963207607","https://openalex.org/W2963278610","https://openalex.org/W2963389226","https://openalex.org/W2963542245","https://openalex.org/W3103557498","https://openalex.org/W4256044039","https://openalex.org/W6640425456","https://openalex.org/W6679792166","https://openalex.org/W6719080892","https://openalex.org/W6729756640","https://openalex.org/W6785841629"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2055243143","https://openalex.org/W4312622923","https://openalex.org/W1986418932","https://openalex.org/W2357796999","https://openalex.org/W4321636575","https://openalex.org/W1977056376","https://openalex.org/W2728430307","https://openalex.org/W2005234362","https://openalex.org/W1997235926"],"abstract_inverted_index":{"Images":[0],"shared":[1],"on":[2,71,96,121],"social":[3,63],"media":[4,64],"are":[5],"routinely":[6],"analysed":[7],"by":[8],"classifiers":[9],"for":[10,62],"content":[11],"annotation":[12],"and":[13,78,118],"user":[14,29],"profiling.":[15],"These":[16],"automatic":[17,83],"inferences":[18],"reveal":[19],"to":[20,32,44,51],"the":[21,46,53,60,72,80,87,103,113,119,122,126,137,140],"service":[22],"provider":[23],"sensitive":[24],"information":[25],"that":[26,82,102],"a":[27,41,56,91,97,109,145],"naive":[28],"might":[30],"want":[31],"keep":[33],"private.":[34],"To":[35],"address":[36],"this":[37],"problem,":[38],"we":[39],"present":[40],"method":[42],"designed":[43],"distort":[45],"image":[47,151],"data":[48],"so":[49],"as":[50],"hinder":[52],"inference":[54,84],"of":[55,90,125,136,149],"classifier":[57,132],"without":[58],"affecting":[59],"utility":[61],"users.":[65],"The":[66,131],"proposed":[67,104],"approach":[68],"is":[69,133],"based":[70],"Fast":[73],"Gradient":[74],"Sign":[75],"Method":[76],"(FGSM)":[77],"limits":[79],"likelihood":[81],"can":[85],"expose":[86],"true":[88],"class":[89],"distorted":[92],"image.":[93],"Experimental":[94],"results":[95],"scene":[98],"classification":[99,116],"task":[100],"show":[101],"method,":[105],"private":[106,123],"FGSM,":[107],"achieves":[108],"desirable":[110],"trade-off":[111],"between":[112],"drop":[114],"in":[115,139],"accuracy":[117],"distortion":[120],"classes":[124,142],"Places365-Standard":[127],"dataset":[128],"using":[129],"ResNet50.":[130],"misled":[134],"94.40%":[135],"times":[138],"top-5":[141],"with":[143],"only":[144],"small":[146],"average":[147],"reduction":[148],"three":[150],"quality":[152],"measures":[153],"(SSIM,":[154],"PSNR,":[155],"BRISQUE).":[156]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":9},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
