{"id":"https://openalex.org/W3126626649","doi":"https://doi.org/10.1109/icassp39728.2021.9414115","title":"Privacy-Preserving near Neighbor Search via Sparse Coding with Ambiguation","display_name":"Privacy-Preserving near Neighbor Search via Sparse Coding with Ambiguation","publication_year":2021,"publication_date":"2021-05-13","ids":{"openalex":"https://openalex.org/W3126626649","doi":"https://doi.org/10.1109/icassp39728.2021.9414115","mag":"3126626649"},"language":"en","primary_location":{"id":"doi:10.1109/icassp39728.2021.9414115","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp39728.2021.9414115","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/2102.04274","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","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","University of GENEVA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Geneva","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/A5062194509","display_name":"Sohrab Ferdowsi","orcid":"https://orcid.org/0000-0003-3768-6408"},"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":"Sohrab Ferdowsi","raw_affiliation_strings":["University of Geneva","University of GENEVA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Geneva","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/A5002437842","display_name":"Dimche Kostadinov","orcid":"https://orcid.org/0009-0001-9000-2370"},"institutions":[{"id":"https://openalex.org/I202697423","display_name":"University of Zurich","ror":"https://ror.org/02crff812","country_code":"CH","type":"education","lineage":["https://openalex.org/I202697423"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Dimche Kostadinov","raw_affiliation_strings":["University of Zurich","University of zurich;"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Zurich","institution_ids":["https://openalex.org/I202697423"]},{"raw_affiliation_string":"University of zurich;","institution_ids":["https://openalex.org/I202697423"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074697940","display_name":"Fl\u00e1vio P. Calmon","orcid":"https://orcid.org/0000-0002-7493-1428"},"institutions":[{"id":"https://openalex.org/I2801851002","display_name":"Harvard University Press","ror":"https://ror.org/006v7bf86","country_code":"US","type":"other","lineage":["https://openalex.org/I136199984","https://openalex.org/I2801851002"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Flavio P. Calmon","raw_affiliation_strings":["Harvard University","Harvard University ,"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Harvard University","institution_ids":["https://openalex.org/I2801851002"]},{"raw_affiliation_string":"Harvard University ,","institution_ids":["https://openalex.org/I2801851002"]}]},{"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","University of GENEVA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Geneva","institution_ids":["https://openalex.org/I114457229"]},{"raw_affiliation_string":"University of GENEVA","institution_ids":["https://openalex.org/I114457229"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.01349978,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"9","issue":null,"first_page":"2635","last_page":"2639"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9987999796867371,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9987999796867371,"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/T13282","display_name":"Automated Road and Building Extraction","score":0.9937000274658203,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9865000247955322,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7469879388809204},{"id":"https://openalex.org/keywords/neural-coding","display_name":"Neural coding","score":0.634676456451416},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.6300660371780396},{"id":"https://openalex.org/keywords/sparse-approximation","display_name":"Sparse approximation","score":0.5496582984924316},{"id":"https://openalex.org/keywords/intersection","display_name":"Intersection (aeronautics)","score":0.53187096118927},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.5025346279144287},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4907749593257904},{"id":"https://openalex.org/keywords/secrecy","display_name":"Secrecy","score":0.4905640482902527},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.48978495597839355},{"id":"https://openalex.org/keywords/raw-data","display_name":"Raw data","score":0.4770892560482025},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4722194969654083},{"id":"https://openalex.org/keywords/core","display_name":"Core (optical fiber)","score":0.4352002739906311},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.4224608838558197},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4037856459617615},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3734227418899536},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3558605909347534},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1830976903438568}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7469879388809204},{"id":"https://openalex.org/C77637269","wikidata":"https://www.wikidata.org/wiki/Q7002051","display_name":"Neural coding","level":2,"score":0.634676456451416},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.6300660371780396},{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.5496582984924316},{"id":"https://openalex.org/C64543145","wikidata":"https://www.wikidata.org/wiki/Q162942","display_name":"Intersection (aeronautics)","level":2,"score":0.53187096118927},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.5025346279144287},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4907749593257904},{"id":"https://openalex.org/C2776452267","wikidata":"https://www.wikidata.org/wiki/Q1503443","display_name":"Secrecy","level":2,"score":0.4905640482902527},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.48978495597839355},{"id":"https://openalex.org/C132964779","wikidata":"https://www.wikidata.org/wiki/Q2110223","display_name":"Raw data","level":2,"score":0.4770892560482025},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4722194969654083},{"id":"https://openalex.org/C2164484","wikidata":"https://www.wikidata.org/wiki/Q5170150","display_name":"Core (optical fiber)","level":2,"score":0.4352002739906311},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.4224608838558197},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4037856459617615},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3734227418899536},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3558605909347534},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1830976903438568},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.1109/icassp39728.2021.9414115","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp39728.2021.9414115","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2102.04274","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2102.04274","pdf_url":"https://arxiv.org/pdf/2102.04274","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":"public-domain","license_id":"https://openalex.org/licenses/public-domain","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.2102.04274","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2102.04274","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":"public-domain","license_id":"https://openalex.org/licenses/public-domain","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"},{"id":"doi:10.17023/dj94-5b50","is_oa":true,"landing_page_url":"https://doi.org/10.17023/dj94-5b50","pdf_url":null,"source":{"id":"https://openalex.org/S7407051697","display_name":"IEEE RESOURCE CENTERS","issn_l":null,"issn":[],"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":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"},{"id":"mag:3126626649","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":null}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2102.04274","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2102.04274","pdf_url":"https://arxiv.org/pdf/2102.04274","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":"public-domain","license_id":"https://openalex.org/licenses/public-domain","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[{"score":0.4399999976158142,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3126626649.pdf","grobid_xml":"https://content.openalex.org/works/W3126626649.grobid-xml"},"referenced_works_count":36,"referenced_works":["https://openalex.org/W204268067","https://openalex.org/W1502916507","https://openalex.org/W1602085912","https://openalex.org/W1959608418","https://openalex.org/W2012592962","https://openalex.org/W2068143350","https://openalex.org/W2141039087","https://openalex.org/W2147238549","https://openalex.org/W2147717514","https://openalex.org/W2162006472","https://openalex.org/W2162511804","https://openalex.org/W2176150727","https://openalex.org/W2411707397","https://openalex.org/W2462806717","https://openalex.org/W2533461851","https://openalex.org/W2750384547","https://openalex.org/W2904478531","https://openalex.org/W2913932916","https://openalex.org/W2948049825","https://openalex.org/W2963213486","https://openalex.org/W2963763731","https://openalex.org/W2963805816","https://openalex.org/W2976919293","https://openalex.org/W3012141871","https://openalex.org/W3013110285","https://openalex.org/W3015774596","https://openalex.org/W3033708194","https://openalex.org/W3118608800","https://openalex.org/W6629956336","https://openalex.org/W6636247774","https://openalex.org/W6640963894","https://openalex.org/W6697214482","https://openalex.org/W6743688258","https://openalex.org/W6751566394","https://openalex.org/W6758691243","https://openalex.org/W6787972765"],"related_works":["https://openalex.org/W3161834178","https://openalex.org/W2756640477","https://openalex.org/W2111339618","https://openalex.org/W2053447580","https://openalex.org/W1972208442","https://openalex.org/W2086958058","https://openalex.org/W3175740157","https://openalex.org/W3004085219","https://openalex.org/W2013062964","https://openalex.org/W2766209167","https://openalex.org/W2577577145","https://openalex.org/W242817161","https://openalex.org/W2093932377","https://openalex.org/W2807730660","https://openalex.org/W3183887783","https://openalex.org/W2789854678","https://openalex.org/W3127726845","https://openalex.org/W2906464112","https://openalex.org/W2952211876","https://openalex.org/W3101683382"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3],"propose":[4],"a":[5],"framework":[6,21],"for":[7],"privacy-preserving":[8],"approximate":[9],"near":[10],"neighbor":[11],"search":[12],"via":[13],"stochastic":[14],"sparsifying":[15],"encoding.":[16],"The":[17,82],"core":[18],"of":[19,34,43,76],"the":[20,32,40,51,57],"relies":[22],"on":[23,39,87],"sparse":[24,44],"coding":[25],"with":[26],"ambiguation":[27],"(SCA)":[28],"mechanism":[29],"that":[30,53],"introduces":[31],"notion":[33],"inherent":[35],"shared":[36],"secrecy":[37],"based":[38],"support":[41],"intersection":[42],"codes.":[45],"This":[46],"approach":[47,67],"is":[48,85],"\u2018fairness-aware\u2019,":[49],"in":[50,56],"sense":[52],"any":[54],"point":[55],"neighborhood":[58],"has":[59],"an":[60],"equiprobable":[61],"chance":[62],"to":[63,71],"be":[64,69],"chosen.":[65],"Our":[66],"can":[68],"applied":[70],"raw":[72],"data,":[73],"latent":[74],"representation":[75],"autoencoders,":[77],"and":[78,92],"aggregated":[79],"local":[80],"descriptors.":[81],"proposed":[83],"method":[84],"tested":[86],"both":[88],"synthetic":[89],"i.i.d":[90],"data":[91],"real":[93],"image":[94],"databases.":[95]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}