{"id":"https://openalex.org/W2943918177","doi":"https://doi.org/10.1109/icip.2019.8803734","title":"Reconstruction of Privacy-Sensitive Data from Protected Templates","display_name":"Reconstruction of Privacy-Sensitive Data from Protected Templates","publication_year":2019,"publication_date":"2019-08-26","ids":{"openalex":"https://openalex.org/W2943918177","doi":"https://doi.org/10.1109/icip.2019.8803734","mag":"2943918177"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2019.8803734","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2019.8803734","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1905.03282","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5026953476","display_name":"Shideh Rezaeifar","orcid":"https://orcid.org/0000-0002-8103-3722"},"institutions":[{"id":"https://openalex.org/I114457229","display_name":"University of Geneva","ror":"https://ror.org/01swzsf04","country_code":"CH","type":"education","lineage":["https://openalex.org/I114457229"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Shideh Rezaeifar","raw_affiliation_strings":["University of Geneva, Geneva, Switzerland","University of GENEVA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Geneva, Geneva, Switzerland","institution_ids":["https://openalex.org/I114457229"]},{"raw_affiliation_string":"University of GENEVA","institution_ids":["https://openalex.org/I114457229"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034055082","display_name":"Behrooz Razeghi","orcid":"https://orcid.org/0000-0001-9568-4166"},"institutions":[{"id":"https://openalex.org/I114457229","display_name":"University of Geneva","ror":"https://ror.org/01swzsf04","country_code":"CH","type":"education","lineage":["https://openalex.org/I114457229"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Behrooz Razeghi","raw_affiliation_strings":["University of Geneva, Geneva, Switzerland","University of GENEVA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Geneva, Geneva, Switzerland","institution_ids":["https://openalex.org/I114457229"]},{"raw_affiliation_string":"University of GENEVA","institution_ids":["https://openalex.org/I114457229"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008678783","display_name":"Olga Taran","orcid":"https://orcid.org/0000-0001-8537-5204"},"institutions":[{"id":"https://openalex.org/I114457229","display_name":"University of Geneva","ror":"https://ror.org/01swzsf04","country_code":"CH","type":"education","lineage":["https://openalex.org/I114457229"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Olga Taran","raw_affiliation_strings":["University of Geneva, Geneva, Switzerland","University of GENEVA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Geneva, Geneva, Switzerland","institution_ids":["https://openalex.org/I114457229"]},{"raw_affiliation_string":"University of GENEVA","institution_ids":["https://openalex.org/I114457229"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030544448","display_name":"Taras Holotyak","orcid":"https://orcid.org/0009-0002-2490-0276"},"institutions":[{"id":"https://openalex.org/I114457229","display_name":"University of Geneva","ror":"https://ror.org/01swzsf04","country_code":"CH","type":"education","lineage":["https://openalex.org/I114457229"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Taras Holotyak","raw_affiliation_strings":["University of Geneva, Geneva, Switzerland","University of GENEVA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Geneva, Geneva, Switzerland","institution_ids":["https://openalex.org/I114457229"]},{"raw_affiliation_string":"University of GENEVA","institution_ids":["https://openalex.org/I114457229"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5091506990","display_name":"Slava Voloshynovskiy","orcid":"https://orcid.org/0000-0003-0416-9674"},"institutions":[{"id":"https://openalex.org/I114457229","display_name":"University of Geneva","ror":"https://ror.org/01swzsf04","country_code":"CH","type":"education","lineage":["https://openalex.org/I114457229"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Slava Voloshynovskiy","raw_affiliation_strings":["University of Geneva, Geneva, Switzerland","University of GENEVA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Geneva, Geneva, Switzerland","institution_ids":["https://openalex.org/I114457229"]},{"raw_affiliation_string":"University of GENEVA","institution_ids":["https://openalex.org/I114457229"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1942,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.4931425,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"11","issue":null,"first_page":"1163","last_page":"1167"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9987999796867371,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9987999796867371,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9916999936103821,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9897000193595886,"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":0.7629799842834473},{"id":"https://openalex.org/keywords/lossy-compression","display_name":"Lossy compression","score":0.5587213635444641},{"id":"https://openalex.org/keywords/template","display_name":"Template","score":0.5089473724365234},{"id":"https://openalex.org/keywords/synthetic-data","display_name":"Synthetic data","score":0.5085664987564087},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.45159244537353516},{"id":"https://openalex.org/keywords/quantization","display_name":"Quantization (signal processing)","score":0.44716984033584595},{"id":"https://openalex.org/keywords/information-privacy","display_name":"Information privacy","score":0.43422558903694153},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.424116849899292},{"id":"https://openalex.org/keywords/data-cleansing","display_name":"Data cleansing","score":0.42106306552886963},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.39489510655403137},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3231443762779236},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.31654876470565796},{"id":"https://openalex.org/keywords/data-quality","display_name":"Data quality","score":0.2649684548377991},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.25670695304870605},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13095825910568237}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7629799842834473},{"id":"https://openalex.org/C165021410","wikidata":"https://www.wikidata.org/wiki/Q55564","display_name":"Lossy compression","level":2,"score":0.5587213635444641},{"id":"https://openalex.org/C82714645","wikidata":"https://www.wikidata.org/wiki/Q438331","display_name":"Template","level":2,"score":0.5089473724365234},{"id":"https://openalex.org/C160920958","wikidata":"https://www.wikidata.org/wiki/Q7662746","display_name":"Synthetic data","level":2,"score":0.5085664987564087},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.45159244537353516},{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.44716984033584595},{"id":"https://openalex.org/C123201435","wikidata":"https://www.wikidata.org/wiki/Q456632","display_name":"Information privacy","level":2,"score":0.43422558903694153},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.424116849899292},{"id":"https://openalex.org/C42199009","wikidata":"https://www.wikidata.org/wiki/Q1172378","display_name":"Data cleansing","level":4,"score":0.42106306552886963},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.39489510655403137},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3231443762779236},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.31654876470565796},{"id":"https://openalex.org/C24756922","wikidata":"https://www.wikidata.org/wiki/Q1757694","display_name":"Data quality","level":3,"score":0.2649684548377991},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.25670695304870605},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13095825910568237},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/icip.2019.8803734","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2019.8803734","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1905.03282","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1905.03282","pdf_url":"https://arxiv.org/pdf/1905.03282","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"mag:2943918177","is_oa":true,"landing_page_url":"https://arxiv.org/pdf/1905.03282v1","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"doi:10.48550/arxiv.1905.03282","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1905.03282","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1905.03282","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1905.03282","pdf_url":"https://arxiv.org/pdf/1905.03282","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.49000000953674316,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2943918177.pdf","grobid_xml":"https://content.openalex.org/works/W2943918177.grobid-xml"},"referenced_works_count":30,"referenced_works":["https://openalex.org/W1572569798","https://openalex.org/W1584467222","https://openalex.org/W1686810756","https://openalex.org/W2012592962","https://openalex.org/W2040148195","https://openalex.org/W2068143350","https://openalex.org/W2145094598","https://openalex.org/W2147238549","https://openalex.org/W2163605009","https://openalex.org/W2166409200","https://openalex.org/W2168892181","https://openalex.org/W2570008916","https://openalex.org/W2737057113","https://openalex.org/W2798724621","https://openalex.org/W2802013709","https://openalex.org/W2911393573","https://openalex.org/W2949536516","https://openalex.org/W2963300033","https://openalex.org/W2963763731","https://openalex.org/W2963805816","https://openalex.org/W2963989815","https://openalex.org/W6634301561","https://openalex.org/W6637373629","https://openalex.org/W6681096077","https://openalex.org/W6684191040","https://openalex.org/W6735307612","https://openalex.org/W6741813933","https://openalex.org/W6750671047","https://openalex.org/W6751566394","https://openalex.org/W6758724179"],"related_works":["https://openalex.org/W2970535055","https://openalex.org/W1517035506","https://openalex.org/W2915946102","https://openalex.org/W2996807589","https://openalex.org/W2170908348","https://openalex.org/W2917666053","https://openalex.org/W2204651516","https://openalex.org/W3161866711","https://openalex.org/W1999602050","https://openalex.org/W2127076209","https://openalex.org/W2963805816","https://openalex.org/W3112685743","https://openalex.org/W2621204331","https://openalex.org/W1596907869","https://openalex.org/W2466411499","https://openalex.org/W2540134115","https://openalex.org/W3007228146","https://openalex.org/W2513834278","https://openalex.org/W2896037409","https://openalex.org/W3160797624"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3],"address":[4],"the":[5,45,62,92,102,119],"problem":[6],"of":[7,17,29,40,53,64,118],"data":[8,68],"reconstruction":[9,74,79,99],"from":[10],"privacy-protected":[11],"templates,":[12],"based":[13,75],"on":[14,58,76],"recent":[15,77],"concept":[16],"sparse":[18],"ternary":[19],"coding":[20],"with":[21],"ambiguization":[22,41],"(STCA).":[23],"The":[24,49],"STCA":[25,54,65,89],"is":[26],"a":[27],"generalization":[28],"randomization":[30],"techniques":[31],"which":[32],"includes":[33],"random":[34],"projections,":[35],"lossy":[36],"quantization,":[37],"and":[38,69],"addition":[39],"noise":[42],"to":[43,66,73,114],"satisfy":[44],"privacy-utility":[46],"trade-off":[47],"requirements.":[48],"theoretical":[50,94],"privacy-preserving":[51],"properties":[52],"have":[55],"been":[56],"validated":[57],"synthetic":[59,103],"data.":[60],"However,":[61],"applicability":[63],"real":[67,108],"potential":[70],"threats":[71],"linked":[72],"deep":[78,98],"algorithms":[80],"are":[81,112],"still":[82,90],"open":[83],"problems.":[84],"Our":[85],"results":[86],"demonstrate":[87],"that":[88],"achieves":[91],"claimed":[93],"performance":[95],"when":[96],"facing":[97],"attacks":[100],"for":[101,107],"i.i.d.":[104],"data,":[105],"while":[106],"images":[109],"special":[110],"measures":[111],"required":[113],"guarantee":[115],"proper":[116],"protection":[117],"templates.":[120]},"counts_by_year":[{"year":2019,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
