{"id":"https://openalex.org/W4399657365","doi":"https://doi.org/10.1145/3637528.3671694","title":"DPSW-Sketch: A Differentially Private Sketch Framework for Frequency Estimation over Sliding Windows","display_name":"DPSW-Sketch: A Differentially Private Sketch Framework for Frequency Estimation over Sliding Windows","publication_year":2024,"publication_date":"2024-08-24","ids":{"openalex":"https://openalex.org/W4399657365","doi":"https://doi.org/10.1145/3637528.3671694"},"language":"en","primary_location":{"id":"doi:10.1145/3637528.3671694","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3637528.3671694","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining","raw_type":"proceedings-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2406.07953","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5010506478","display_name":"Yiping Wang","orcid":"https://orcid.org/0009-0009-7526-985X"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yiping Wang","raw_affiliation_strings":["East China Normal University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"East China Normal University, Shanghai, China","institution_ids":["https://openalex.org/I66867065"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065488679","display_name":"Yanhao Wang","orcid":"https://orcid.org/0000-0002-7661-3917"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanhao Wang","raw_affiliation_strings":["East China Normal University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"East China Normal University, Shanghai, China","institution_ids":["https://openalex.org/I66867065"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5114734448","display_name":"Cen Chen","orcid":"https://orcid.org/0000-0003-0325-1705"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cen Chen","raw_affiliation_strings":["East China Normal University & The State Key Laboratory of Blockchain and Data Security, Zhejiang University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"East China Normal University & The State Key Laboratory of Blockchain and Data Security, Zhejiang University, Shanghai, China","institution_ids":["https://openalex.org/I66867065"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5010506478"],"corresponding_institution_ids":["https://openalex.org/I66867065"],"apc_list":null,"apc_paid":null,"fwci":0.695,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.73931269,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"3255","last_page":"3266"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9998000264167786,"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":0.9998000264167786,"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/T12761","display_name":"Data Stream Mining Techniques","score":0.9961000084877014,"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/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9879999756813049,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"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/sketch","display_name":"Sketch","score":0.9227056503295898},{"id":"https://openalex.org/keywords/sliding-window-protocol","display_name":"Sliding window protocol","score":0.884087860584259},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7402073740959167},{"id":"https://openalex.org/keywords/bounded-function","display_name":"Bounded function","score":0.5902788043022156},{"id":"https://openalex.org/keywords/data-stream","display_name":"Data stream","score":0.5770660042762756},{"id":"https://openalex.org/keywords/data-stream-mining","display_name":"Data stream mining","score":0.5670408010482788},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5646004676818848},{"id":"https://openalex.org/keywords/differential-privacy","display_name":"Differential privacy","score":0.5575265288352966},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.5291172862052917},{"id":"https://openalex.org/keywords/window","display_name":"Window (computing)","score":0.5162979960441589},{"id":"https://openalex.org/keywords/sublinear-function","display_name":"Sublinear function","score":0.5110953450202942},{"id":"https://openalex.org/keywords/track","display_name":"Track (disk drive)","score":0.43563467264175415},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4171295762062073},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.39702391624450684},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.33213162422180176},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17236793041229248},{"id":"https://openalex.org/keywords/discrete-mathematics","display_name":"Discrete mathematics","score":0.11027023196220398},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.09094277024269104}],"concepts":[{"id":"https://openalex.org/C2779231336","wikidata":"https://www.wikidata.org/wiki/Q7534724","display_name":"Sketch","level":2,"score":0.9227056503295898},{"id":"https://openalex.org/C102392041","wikidata":"https://www.wikidata.org/wiki/Q592860","display_name":"Sliding window protocol","level":3,"score":0.884087860584259},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7402073740959167},{"id":"https://openalex.org/C34388435","wikidata":"https://www.wikidata.org/wiki/Q2267362","display_name":"Bounded function","level":2,"score":0.5902788043022156},{"id":"https://openalex.org/C2778484313","wikidata":"https://www.wikidata.org/wiki/Q1172540","display_name":"Data stream","level":2,"score":0.5770660042762756},{"id":"https://openalex.org/C89198739","wikidata":"https://www.wikidata.org/wiki/Q3079880","display_name":"Data stream mining","level":2,"score":0.5670408010482788},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5646004676818848},{"id":"https://openalex.org/C23130292","wikidata":"https://www.wikidata.org/wiki/Q5275358","display_name":"Differential privacy","level":2,"score":0.5575265288352966},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5291172862052917},{"id":"https://openalex.org/C2778751112","wikidata":"https://www.wikidata.org/wiki/Q835016","display_name":"Window (computing)","level":2,"score":0.5162979960441589},{"id":"https://openalex.org/C117160843","wikidata":"https://www.wikidata.org/wiki/Q338652","display_name":"Sublinear function","level":2,"score":0.5110953450202942},{"id":"https://openalex.org/C89992363","wikidata":"https://www.wikidata.org/wiki/Q5961558","display_name":"Track (disk drive)","level":2,"score":0.43563467264175415},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4171295762062073},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.39702391624450684},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.33213162422180176},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17236793041229248},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.11027023196220398},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.09094277024269104},{"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/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","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},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3637528.3671694","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3637528.3671694","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2406.07953","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2406.07953","pdf_url":"https://arxiv.org/pdf/2406.07953","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":"cc-by-nc-sa","license_id":"https://openalex.org/licenses/cc-by-nc-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2406.07953","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2406.07953","pdf_url":"https://arxiv.org/pdf/2406.07953","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":"cc-by-nc-sa","license_id":"https://openalex.org/licenses/cc-by-nc-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[{"score":0.550000011920929,"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/W4399657365.pdf","grobid_xml":"https://content.openalex.org/works/W4399657365.grobid-xml"},"referenced_works_count":25,"referenced_works":["https://openalex.org/W1493892051","https://openalex.org/W1995484833","https://openalex.org/W2004110412","https://openalex.org/W2006355640","https://openalex.org/W2012992615","https://openalex.org/W2022858489","https://openalex.org/W2080234606","https://openalex.org/W2114725120","https://openalex.org/W2152637787","https://openalex.org/W2241261046","https://openalex.org/W2479510968","https://openalex.org/W3081247648","https://openalex.org/W3105379405","https://openalex.org/W3113292039","https://openalex.org/W3173382529","https://openalex.org/W4206137901","https://openalex.org/W4280640820","https://openalex.org/W4281386744","https://openalex.org/W4294904094","https://openalex.org/W4299421409","https://openalex.org/W4306317690","https://openalex.org/W4379113139","https://openalex.org/W4381247938","https://openalex.org/W4385562642","https://openalex.org/W6838034861"],"related_works":["https://openalex.org/W127192698","https://openalex.org/W2360131081","https://openalex.org/W1572762191","https://openalex.org/W3207785250","https://openalex.org/W2985941356","https://openalex.org/W1994631397","https://openalex.org/W2991818765","https://openalex.org/W2106570241","https://openalex.org/W4360995307","https://openalex.org/W2167004500"],"abstract_inverted_index":{"The":[0],"sliding":[1,45,104,111],"window":[2,46,105,112],"model":[3],"of":[4,17,70,82,88],"computation":[5],"captures":[6],"scenarios":[7],"in":[8,14,102,141],"which":[9],"data":[10,52],"are":[11,27],"continually":[12],"arriving":[13],"the":[15,22,44,59,78,86,95,103,116,126,131],"form":[16],"a":[18,48,67,110],"stream,":[19],"and":[20,92,135,144,153],"only":[21,121],"most":[23,96],"recent":[24],"w":[25],"items":[26,98],"used":[28],"for":[29,133],"analysis.":[30],"In":[31,72],"this":[32,73],"setting,":[33],"an":[34,89],"algorithm":[35,60],"needs":[36],"to":[37,65],"accurately":[38],"track":[39],"some":[40],"desired":[41],"statistics":[42],"over":[43,125],"using":[47],"small":[49],"space.":[50],"When":[51],"streams":[53],"contain":[54],"sensitive":[55],"information":[56],"about":[57],"individuals,":[58],"is":[61],"also":[62,129],"urgently":[63],"needed":[64],"provide":[66],"provable":[68],"guarantee":[69],"privacy.":[71],"paper,":[74],"we":[75],"focus":[76],"on":[77,115,150],"two":[79],"fundamental":[80],"problems":[81],"privately":[83],"(1)":[84],"estimating":[85],"frequency":[87,134],"arbitrary":[90],"item":[91],"(2)":[93],"identifying":[94],"frequent":[97],"(i.e.,":[99],"heavy":[100],"hitters),":[101],"model.":[106],"We":[107],"propose":[108],"DPSW-Sketch,":[109],"framework":[113],"based":[114],"count-min":[117],"sketch":[118],"that":[119,157],"not":[120],"satisfies":[122],"differential":[123],"privacy":[124],"stream":[127],"but":[128],"approximates":[130],"results":[132],"heavy-hitter":[136],"queries":[137],"within":[138],"bounded":[139],"errors":[140],"sublinear":[142],"time":[143],"space":[145],"w.r.t.":[146],"w.":[147],"Extensive":[148],"experiments":[149],"five":[151],"real-world":[152],"synthetic":[154],"datasets":[155],"show":[156],"DPSW-Sketch":[158],"provides":[159],"significantly":[160],"better":[161],"utility-privacy":[162],"trade-offs":[163],"than":[164],"state-of-the-art":[165],"methods.":[166]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2024-06-14T00:00:00"}