{"id":"https://openalex.org/W3034824210","doi":"https://doi.org/10.1145/3392154","title":"Measuring Membership Privacy on Aggregate Location Time-Series","display_name":"Measuring Membership Privacy on Aggregate Location Time-Series","publication_year":2020,"publication_date":"2020-06-09","ids":{"openalex":"https://openalex.org/W3034824210","doi":"https://doi.org/10.1145/3392154","mag":"3034824210"},"language":"en","primary_location":{"id":"doi:10.1145/3392154","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3392154","pdf_url":null,"source":{"id":"https://openalex.org/S4210193547","display_name":"Proceedings of the ACM on Measurement and Analysis of Computing Systems","issn_l":"2476-1249","issn":["2476-1249"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM on Measurement and Analysis of Computing Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://infoscience.epfl.ch/record/298882","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5072336168","display_name":"Apostolos Pyrgelis","orcid":"https://orcid.org/0009-0001-5641-6270"},"institutions":[{"id":"https://openalex.org/I5124864","display_name":"\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne","ror":"https://ror.org/02s376052","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I5124864"]}],"countries":["CH"],"is_corresponding":true,"raw_author_name":"Apostolos Pyrgelis","raw_affiliation_strings":["\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne, Lausanne, Switzerland"],"affiliations":[{"raw_affiliation_string":"\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne, Lausanne, Switzerland","institution_ids":["https://openalex.org/I5124864"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072857797","display_name":"Carmela Troncoso","orcid":"https://orcid.org/0000-0002-2374-2248"},"institutions":[{"id":"https://openalex.org/I5124864","display_name":"\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne","ror":"https://ror.org/02s376052","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I5124864"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Carmela Troncoso","raw_affiliation_strings":["\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne, Lausanne, Switzerland"],"affiliations":[{"raw_affiliation_string":"\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne, Lausanne, Switzerland","institution_ids":["https://openalex.org/I5124864"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035799220","display_name":"Emiliano De Cristofaro","orcid":"https://orcid.org/0000-0002-7097-6346"},"institutions":[{"id":"https://openalex.org/I45129253","display_name":"University College London","ror":"https://ror.org/02jx3x895","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I45129253"]},{"id":"https://openalex.org/I4210128584","display_name":"The Alan Turing Institute","ror":"https://ror.org/035dkdb55","country_code":"GB","type":"facility","lineage":["https://openalex.org/I4210128584"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Emiliano De Cristofaro","raw_affiliation_strings":["University College London &amp; Alan Turing Institute, London, United Kingdom"],"affiliations":[{"raw_affiliation_string":"University College London &amp; Alan Turing Institute, London, United Kingdom","institution_ids":["https://openalex.org/I4210128584","https://openalex.org/I45129253"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5072336168"],"corresponding_institution_ids":["https://openalex.org/I5124864"],"apc_list":null,"apc_paid":null,"fwci":1.193,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.83385689,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"4","issue":"2","first_page":"1","last_page":"28"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9998999834060669,"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":0.9998999834060669,"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/T11819","display_name":"Data-Driven Disease Surveillance","score":0.9979000091552734,"subfield":{"id":"https://openalex.org/subfields/2713","display_name":"Epidemiology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T11045","display_name":"Privacy, Security, and Data Protection","score":0.9932000041007996,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.750044584274292},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.6501564979553223},{"id":"https://openalex.org/keywords/aggregate","display_name":"Aggregate (composite)","score":0.6368473172187805},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.5985745787620544},{"id":"https://openalex.org/keywords/adversary","display_name":"Adversary","score":0.5748143792152405},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.561176061630249},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.49992847442626953},{"id":"https://openalex.org/keywords/analytics","display_name":"Analytics","score":0.47442808747291565},{"id":"https://openalex.org/keywords/differential-privacy","display_name":"Differential privacy","score":0.47433561086654663},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.3698919415473938},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.36090072989463806},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.223660409450531}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.750044584274292},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6501564979553223},{"id":"https://openalex.org/C4679612","wikidata":"https://www.wikidata.org/wiki/Q866298","display_name":"Aggregate (composite)","level":2,"score":0.6368473172187805},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.5985745787620544},{"id":"https://openalex.org/C41065033","wikidata":"https://www.wikidata.org/wiki/Q2825412","display_name":"Adversary","level":2,"score":0.5748143792152405},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.561176061630249},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.49992847442626953},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.47442808747291565},{"id":"https://openalex.org/C23130292","wikidata":"https://www.wikidata.org/wiki/Q5275358","display_name":"Differential privacy","level":2,"score":0.47433561086654663},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.3698919415473938},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.36090072989463806},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.223660409450531},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"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/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3392154","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3392154","pdf_url":null,"source":{"id":"https://openalex.org/S4210193547","display_name":"Proceedings of the ACM on Measurement and Analysis of Computing Systems","issn_l":"2476-1249","issn":["2476-1249"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM on Measurement and Analysis of Computing Systems","raw_type":"journal-article"},{"id":"pmh:oai:infoscience.epfl.ch:298882","is_oa":true,"landing_page_url":"http://infoscience.epfl.ch/record/298882","pdf_url":null,"source":{"id":"https://openalex.org/S4306400487","display_name":"Infoscience (Ecole Polytechnique F\u00e9d\u00e9rale de Lausanne)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"research article"}],"best_oa_location":{"id":"pmh:oai:infoscience.epfl.ch:298882","is_oa":true,"landing_page_url":"http://infoscience.epfl.ch/record/298882","pdf_url":null,"source":{"id":"https://openalex.org/S4306400487","display_name":"Infoscience (Ecole Polytechnique F\u00e9d\u00e9rale de Lausanne)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"research article"},"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.7400000095367432}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":67,"referenced_works":["https://openalex.org/W111324831","https://openalex.org/W1526797722","https://openalex.org/W1536564267","https://openalex.org/W1565026843","https://openalex.org/W1575767659","https://openalex.org/W1833521484","https://openalex.org/W1968752677","https://openalex.org/W1971472627","https://openalex.org/W1973980096","https://openalex.org/W1978648695","https://openalex.org/W1981029888","https://openalex.org/W1993599520","https://openalex.org/W1999110238","https://openalex.org/W2009611335","https://openalex.org/W2012210084","https://openalex.org/W2024577186","https://openalex.org/W2040228409","https://openalex.org/W2040246974","https://openalex.org/W2045686369","https://openalex.org/W2054610764","https://openalex.org/W2056773559","https://openalex.org/W2066806488","https://openalex.org/W2103839502","https://openalex.org/W2104803737","https://openalex.org/W2109426455","https://openalex.org/W2115240023","https://openalex.org/W2120911939","https://openalex.org/W2122967165","https://openalex.org/W2126729912","https://openalex.org/W2129897549","https://openalex.org/W2140251882","https://openalex.org/W2141481372","https://openalex.org/W2141854027","https://openalex.org/W2164662623","https://openalex.org/W2245706161","https://openalex.org/W2511693736","https://openalex.org/W2523313074","https://openalex.org/W2532520288","https://openalex.org/W2535690855","https://openalex.org/W2593493160","https://openalex.org/W2617174679","https://openalex.org/W2767256145","https://openalex.org/W2786233556","https://openalex.org/W2792648564","https://openalex.org/W2794492456","https://openalex.org/W2794651469","https://openalex.org/W2795435272","https://openalex.org/W2799803467","https://openalex.org/W2884280357","https://openalex.org/W2884738118","https://openalex.org/W2884943453","https://openalex.org/W2890836728","https://openalex.org/W2910636828","https://openalex.org/W2949492662","https://openalex.org/W2963378725","https://openalex.org/W2964151798","https://openalex.org/W2964344330","https://openalex.org/W2964426090","https://openalex.org/W2967985550","https://openalex.org/W3099514962","https://openalex.org/W3100108862","https://openalex.org/W3102407811","https://openalex.org/W3103388805","https://openalex.org/W3182868573","https://openalex.org/W4255898812","https://openalex.org/W4289866267","https://openalex.org/W4307003209"],"related_works":["https://openalex.org/W3038283795","https://openalex.org/W2604501336","https://openalex.org/W2734500670","https://openalex.org/W2558166297","https://openalex.org/W2315671126","https://openalex.org/W798507144","https://openalex.org/W2964481303","https://openalex.org/W2571704763","https://openalex.org/W1751413323","https://openalex.org/W3206394311"],"abstract_inverted_index":{"While":[0],"location":[1,37,63,157,185,258],"data":[2,170],"is":[3,182,193],"extremely":[4],"valuable":[5],"for":[6,134,152,167,172,184,245],"various":[7,135],"applications,":[8,247],"disclosing":[9],"it":[10],"prompts":[11],"serious":[12],"threats":[13],"to":[14,55,69,76,124],"individuals'":[15],"privacy.":[16,223],"To":[17],"limit":[18],"such":[19],"concerns,":[20],"organizations":[21],"often":[22],"provide":[23,198,249],"analysts":[24],"with":[25,108],"aggregate":[26,62,156,257],"time-series":[27],"that":[28,81,142,228,237],"indicate,":[29],"e.g.,":[30,206],"how":[31],"many":[32],"people":[33],"are":[34],"in":[35,102,202],"a":[36,39,52,72,99,109,233],"at":[38],"time":[40],"interval,":[41],"rather":[42],"than":[43],"raw":[44],"individual":[45],"traces.":[46],"In":[47],"this":[48],"paper,":[49],"we":[50],"perform":[51],"measurement":[53],"study":[54],"understand":[56],"Membership":[57],"Inference":[58],"Attacks":[59],"(MIAs)":[60],"on":[61,115,155],"time-series,":[64],"where":[65],"an":[66],"adversary":[67],"tries":[68],"infer":[70],"whether":[71],"specific":[73,153,204],"user":[74],"contributed":[75,85],"the":[77,82,90,103,126,129,147,191,240,243,253],"aggregates.":[78],"We":[79,106],"find":[80],"volume":[83],"of":[84,94,112,242,255],"data,":[86],"as":[87,89],"well":[88],"regularity":[91],"and":[92,118,120,177,187,209,213,248],"particularity":[93],"users'":[95],"mobility":[96,136],"patterns,":[97],"play":[98],"crucial":[100],"role":[101],"attack's":[104],"success.":[105],"experiment":[107],"wide":[110],"range":[111],"defenses":[113,144],"based":[114],"generalization,":[116],"hiding,":[117],"perturbation,":[119],"evaluate":[121],"their":[122,211],"ability":[123],"thwart":[125],"attack":[127],"vis-\u00e0-vis":[128],"utility":[130,241],"loss":[131],"they":[132],"introduce":[133],"analytics":[137,244],"tasks.":[138],"Our":[139],"results":[140],"show":[141,227],"some":[143],"fail":[145],"across":[146],"board,":[148],"while":[149,180],"others":[150],"work":[151],"tasks":[154],"time-series.":[158,259],"For":[159],"instance,":[160],"suppressing":[161],"small":[162],"counts":[163],"can":[164,238],"be":[165],"used":[166],"ranking":[168],"hotspots,":[169],"generalization":[171],"forecasting":[173,210],"traffic,":[174,212],"hotspot":[175],"discovery,":[176],"map":[178],"inference,":[179],"sampling":[181],"effective":[183],"labeling":[186],"anomaly":[188],"detection":[189],"when":[190,216],"dataset":[192],"sparse.":[194],"Differentially":[195],"private":[196],"techniques":[197],"reasonable":[199],"accuracy":[200],"only":[201],"very":[203],"settings,":[205],"discovering":[207],"hotspots":[208],"more":[214],"so":[215],"using":[217],"weaker":[218],"privacy":[219],"notions":[220],"like":[221],"crowd-blending":[222],"Overall,":[224],"our":[225],"measurements":[226],"there":[229],"does":[230],"not":[231],"exist":[232],"unique":[234],"generic":[235],"defense":[236],"preserve":[239],"arbitrary":[246],"useful":[250],"insights":[251],"regarding":[252],"disclosure":[254],"sanitized":[256]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":3},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
