{"id":"https://openalex.org/W4293518073","doi":"https://doi.org/10.1109/icme52920.2022.9859857","title":"Individual Property Inference Over Collaborative Learning in Deep Feature Space","display_name":"Individual Property Inference Over Collaborative Learning in Deep Feature Space","publication_year":2022,"publication_date":"2022-07-18","ids":{"openalex":"https://openalex.org/W4293518073","doi":"https://doi.org/10.1109/icme52920.2022.9859857"},"language":"en","primary_location":{"id":"doi:10.1109/icme52920.2022.9859857","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme52920.2022.9859857","pdf_url":null,"source":{"id":"https://openalex.org/S4363607799","display_name":"2022 IEEE International Conference on Multimedia and Expo (ICME)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Multimedia and Expo (ICME)","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/A5101726756","display_name":"Haoxin Yang","orcid":"https://orcid.org/0009-0008-5988-9816"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]},{"id":"https://openalex.org/I2799850029","display_name":"Dongguan University of Technology","ror":"https://ror.org/01m8p7q42","country_code":"CN","type":"education","lineage":["https://openalex.org/I2799850029"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Haoxin Yang","raw_affiliation_strings":["Shenzhen University,Guangdong Key Laboratory of Intelligent Information Processing and Shenzhen Key Laboratory of Media Security,Shenzhen,China","Dongguan University of Technology, Dongguan, China","Guangdong Key Laboratory of Intelligent Information Processing and Shenzhen Key Laboratory of Media Security, Shenzhen University, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Shenzhen University,Guangdong Key Laboratory of Intelligent Information Processing and Shenzhen Key Laboratory of Media Security,Shenzhen,China","institution_ids":["https://openalex.org/I180726961"]},{"raw_affiliation_string":"Dongguan University of Technology, Dongguan, China","institution_ids":["https://openalex.org/I2799850029"]},{"raw_affiliation_string":"Guangdong Key Laboratory of Intelligent Information Processing and Shenzhen Key Laboratory of Media Security, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100364938","display_name":"Yi Wang","orcid":"https://orcid.org/0000-0002-3096-6610"},"institutions":[{"id":"https://openalex.org/I2799850029","display_name":"Dongguan University of Technology","ror":"https://ror.org/01m8p7q42","country_code":"CN","type":"education","lineage":["https://openalex.org/I2799850029"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi Wang","raw_affiliation_strings":["Dongguan University of Technology,Dongguan,China","Dongguan University of Technology, Dongguan, China"],"affiliations":[{"raw_affiliation_string":"Dongguan University of Technology,Dongguan,China","institution_ids":["https://openalex.org/I2799850029"]},{"raw_affiliation_string":"Dongguan University of Technology, Dongguan, China","institution_ids":["https://openalex.org/I2799850029"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100365163","display_name":"Bin Li","orcid":"https://orcid.org/0000-0002-2613-5451"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bin Li","raw_affiliation_strings":["Shenzhen University,Guangdong Key Laboratory of Intelligent Information Processing and Shenzhen Key Laboratory of Media Security,Shenzhen,China","Guangdong Key Laboratory of Intelligent Information Processing and Shenzhen Key Laboratory of Media Security, Shenzhen University, Shenzhen, China","Shenzhen Institute of Articial Intelligence and Robotics for Society, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Shenzhen University,Guangdong Key Laboratory of Intelligent Information Processing and Shenzhen Key Laboratory of Media Security,Shenzhen,China","institution_ids":["https://openalex.org/I180726961"]},{"raw_affiliation_string":"Guangdong Key Laboratory of Intelligent Information Processing and Shenzhen Key Laboratory of Media Security, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]},{"raw_affiliation_string":"Shenzhen Institute of Articial Intelligence and Robotics for Society, Shenzhen, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5101726756"],"corresponding_institution_ids":["https://openalex.org/I180726961","https://openalex.org/I2799850029"],"apc_list":null,"apc_paid":null,"fwci":0.3118,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.50307046,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":1.0,"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":1.0,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9922999739646912,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9861999750137329,"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/inference","display_name":"Inference","score":0.8842588663101196},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8066315054893494},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6777929663658142},{"id":"https://openalex.org/keywords/property","display_name":"Property (philosophy)","score":0.6575008630752563},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5839956998825073},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5549708008766174},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5545700788497925},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.46817320585250854},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4570602774620056},{"id":"https://openalex.org/keywords/space","display_name":"Space (punctuation)","score":0.4443773329257965}],"concepts":[{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.8842588663101196},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8066315054893494},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6777929663658142},{"id":"https://openalex.org/C189950617","wikidata":"https://www.wikidata.org/wiki/Q937228","display_name":"Property (philosophy)","level":2,"score":0.6575008630752563},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5839956998825073},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5549708008766174},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5545700788497925},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.46817320585250854},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4570602774620056},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.4443773329257965},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"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:10.1109/icme52920.2022.9859857","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme52920.2022.9859857","pdf_url":null,"source":{"id":"https://openalex.org/S4363607799","display_name":"2022 IEEE International Conference on Multimedia and Expo (ICME)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Multimedia and Expo (ICME)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.550000011920929}],"awards":[{"id":"https://openalex.org/G4218786636","display_name":null,"funder_award_id":"61876038,61872244","funder_id":"https://openalex.org/F4320338409","funder_display_name":"Northwest Fisheries Science Center"}],"funders":[{"id":"https://openalex.org/F4320338409","display_name":"Northwest Fisheries Science Center","ror":"https://ror.org/05r7z1k40"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W1834627138","https://openalex.org/W2027595342","https://openalex.org/W2053637704","https://openalex.org/W2158213899","https://openalex.org/W2168231600","https://openalex.org/W2187089797","https://openalex.org/W2194775991","https://openalex.org/W2536626143","https://openalex.org/W2786070938","https://openalex.org/W2896422817","https://openalex.org/W2930926105","https://openalex.org/W2963456518","https://openalex.org/W2964430164","https://openalex.org/W2970408908","https://openalex.org/W2971544778","https://openalex.org/W3037913917","https://openalex.org/W3103245149","https://openalex.org/W3153600588","https://openalex.org/W3165639541","https://openalex.org/W3175192640","https://openalex.org/W3212378239","https://openalex.org/W4287822453","https://openalex.org/W4297687186","https://openalex.org/W4298201312","https://openalex.org/W4299518610","https://openalex.org/W6657138077","https://openalex.org/W6663928093","https://openalex.org/W6682132143","https://openalex.org/W6755691404","https://openalex.org/W6767562960","https://openalex.org/W6803316053"],"related_works":["https://openalex.org/W2378211422","https://openalex.org/W4321353415","https://openalex.org/W2745001401","https://openalex.org/W2130974462","https://openalex.org/W2028665553","https://openalex.org/W2086519370","https://openalex.org/W972276598","https://openalex.org/W4246352526","https://openalex.org/W2121910908","https://openalex.org/W2951187577"],"abstract_inverted_index":{"Collaborative":[0],"learning":[1],"is":[2,108],"used":[3],"in":[4,46,62,123],"multi-media":[5],"applications":[6],"to":[7,67],"distribute":[8],"computing":[9],"tasks":[10],"and":[11,33,49],"data":[12,22],"storage":[13],"over":[14],"multiple":[15,95],"sites.":[16],"Recent":[17],"studies":[18],"found":[19],"that":[20],"private":[21],"information":[23],"can":[24,75,92],"be":[25],"derived":[26],"from":[27],"model":[28],"updates":[29],"between":[30],"the":[31,63,80,100,124],"server":[32],"clients.":[34],"Yet,":[35],"previous":[36],"methods":[37],"are":[38],"limited":[39],"by":[40],"their":[41],"capabilities":[42],"of":[43,82,86,89,102,119,126],"privacy":[44,127],"inference":[45,60,77,97,120],"more":[47],"general":[48],"practical":[50],"situations.":[51],"In":[52,71],"this":[53],"paper,":[54],"we":[55],"propose":[56],"a":[57,87],"novel":[58],"property":[59,96],"method":[61,74,107],"deep":[64],"feature":[65],"space":[66],"overcome":[68],"those":[69],"limitations.":[70],"particular,":[72],"our":[73],"make":[76],"decisions":[78],"on":[79,110],"level":[81],"individual":[83],"examples":[84],"instead":[85],"batch":[88],"examples.":[90],"We":[91],"simultaneously":[93],"perform":[94],"attacks":[98],"without":[99],"need":[101],"image":[103,112],"reconstruction.":[104],"The":[105],"proposed":[106],"evaluated":[109],"several":[111],"benchmark":[113],"datasets,":[114],"which":[115],"demonstrates":[116],"significant":[117],"improvement":[118],"accuracy":[121],"even":[122],"presence":[125],"protection":[128],"schemes.":[129]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}