{"id":"https://openalex.org/W4224309813","doi":"https://doi.org/10.1145/3529260","title":"Synthesis of Longitudinal Human Location Sequences: Balancing Utility and Privacy","display_name":"Synthesis of Longitudinal Human Location Sequences: Balancing Utility and Privacy","publication_year":2022,"publication_date":"2022-04-25","ids":{"openalex":"https://openalex.org/W4224309813","doi":"https://doi.org/10.1145/3529260"},"language":"en","primary_location":{"id":"doi:10.1145/3529260","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3529260","pdf_url":null,"source":{"id":"https://openalex.org/S41523882","display_name":"ACM Transactions on Knowledge Discovery from Data","issn_l":"1556-4681","issn":["1556-4681","1556-472X"],"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":"ACM Transactions on Knowledge Discovery from Data","raw_type":"journal-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/A5088958806","display_name":"Maya Benarous","orcid":null},"institutions":[{"id":"https://openalex.org/I16391192","display_name":"Tel Aviv University","ror":"https://ror.org/04mhzgx49","country_code":"IL","type":"education","lineage":["https://openalex.org/I16391192"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Maya Benarous","raw_affiliation_strings":["Department of Industrial Engineering, Tel Aviv University, Tel Aviv, Israel"],"raw_orcid":"https://orcid.org/0000-0003-1907-271X","affiliations":[{"raw_affiliation_string":"Department of Industrial Engineering, Tel Aviv University, Tel Aviv, Israel","institution_ids":["https://openalex.org/I16391192"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046126942","display_name":"Eran Toch","orcid":"https://orcid.org/0000-0001-6939-5870"},"institutions":[{"id":"https://openalex.org/I16391192","display_name":"Tel Aviv University","ror":"https://ror.org/04mhzgx49","country_code":"IL","type":"education","lineage":["https://openalex.org/I16391192"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Eran Toch","raw_affiliation_strings":["Department of Industrial Engineering, Tel Aviv University, Tel Aviv, Israel"],"raw_orcid":"https://orcid.org/0000-0001-6939-5870","affiliations":[{"raw_affiliation_string":"Department of Industrial Engineering, Tel Aviv University, Tel Aviv, Israel","institution_ids":["https://openalex.org/I16391192"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5021334659","display_name":"Irad Ben\u2010Gal","orcid":"https://orcid.org/0000-0003-2411-5518"},"institutions":[{"id":"https://openalex.org/I16391192","display_name":"Tel Aviv University","ror":"https://ror.org/04mhzgx49","country_code":"IL","type":"education","lineage":["https://openalex.org/I16391192"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Irad Ben-gal","raw_affiliation_strings":["Department of Industrial Engineering, Tel Aviv University, Tel Aviv, Israel"],"raw_orcid":"https://orcid.org/0000-0003-2411-5518","affiliations":[{"raw_affiliation_string":"Department of Industrial Engineering, Tel Aviv University, Tel Aviv, Israel","institution_ids":["https://openalex.org/I16391192"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I16391192"],"apc_list":null,"apc_paid":null,"fwci":1.9258,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.85062793,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"16","issue":"6","first_page":"1","last_page":"27"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.995199978351593,"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/T11896","display_name":"Opportunistic and Delay-Tolerant Networks","score":0.9902999997138977,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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":0.8447251319885254},{"id":"https://openalex.org/keywords/confidentiality","display_name":"Confidentiality","score":0.6459460854530334},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5555932521820068},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.48991960287094116},{"id":"https://openalex.org/keywords/information-sensitivity","display_name":"Information sensitivity","score":0.4817664623260498},{"id":"https://openalex.org/keywords/information-privacy","display_name":"Information privacy","score":0.4652581810951233},{"id":"https://openalex.org/keywords/synthetic-data","display_name":"Synthetic data","score":0.43944358825683594},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.4302735924720764},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.4235306978225708},{"id":"https://openalex.org/keywords/phone","display_name":"Phone","score":0.4148111045360565},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.34246933460235596},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.30216944217681885},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2882221043109894}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8447251319885254},{"id":"https://openalex.org/C71745522","wikidata":"https://www.wikidata.org/wiki/Q2476929","display_name":"Confidentiality","level":2,"score":0.6459460854530334},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5555932521820068},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.48991960287094116},{"id":"https://openalex.org/C137822555","wikidata":"https://www.wikidata.org/wiki/Q2587068","display_name":"Information sensitivity","level":2,"score":0.4817664623260498},{"id":"https://openalex.org/C123201435","wikidata":"https://www.wikidata.org/wiki/Q456632","display_name":"Information privacy","level":2,"score":0.4652581810951233},{"id":"https://openalex.org/C160920958","wikidata":"https://www.wikidata.org/wiki/Q7662746","display_name":"Synthetic data","level":2,"score":0.43944358825683594},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.4302735924720764},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.4235306978225708},{"id":"https://openalex.org/C2778707766","wikidata":"https://www.wikidata.org/wiki/Q202064","display_name":"Phone","level":2,"score":0.4148111045360565},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.34246933460235596},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.30216944217681885},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2882221043109894},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","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/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3529260","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3529260","pdf_url":null,"source":{"id":"https://openalex.org/S41523882","display_name":"ACM Transactions on Knowledge Discovery from Data","issn_l":"1556-4681","issn":["1556-4681","1556-472X"],"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":"ACM Transactions on Knowledge Discovery from Data","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":53,"referenced_works":["https://openalex.org/W1486149278","https://openalex.org/W1575439900","https://openalex.org/W1593271688","https://openalex.org/W1614298861","https://openalex.org/W1964461063","https://openalex.org/W1982379208","https://openalex.org/W1986549350","https://openalex.org/W2012114217","https://openalex.org/W2025078390","https://openalex.org/W2033781392","https://openalex.org/W2035311901","https://openalex.org/W2064675550","https://openalex.org/W2082531187","https://openalex.org/W2115240023","https://openalex.org/W2120911939","https://openalex.org/W2124195715","https://openalex.org/W2149891651","https://openalex.org/W2151945801","https://openalex.org/W2153207204","https://openalex.org/W2156515366","https://openalex.org/W2169016544","https://openalex.org/W2200921133","https://openalex.org/W2294797155","https://openalex.org/W2402268235","https://openalex.org/W2424778531","https://openalex.org/W2465297350","https://openalex.org/W2511693736","https://openalex.org/W2553756201","https://openalex.org/W2593493160","https://openalex.org/W2621639452","https://openalex.org/W2743808405","https://openalex.org/W2770193634","https://openalex.org/W2771725595","https://openalex.org/W2794518829","https://openalex.org/W2807954821","https://openalex.org/W2808478781","https://openalex.org/W2902816655","https://openalex.org/W2915288435","https://openalex.org/W2921532413","https://openalex.org/W2949028947","https://openalex.org/W2963185411","https://openalex.org/W2963914175","https://openalex.org/W2969573262","https://openalex.org/W2974725491","https://openalex.org/W3035111702","https://openalex.org/W3036770823","https://openalex.org/W3090910518","https://openalex.org/W3102272367","https://openalex.org/W4288333737","https://openalex.org/W4289236784","https://openalex.org/W4300837096","https://openalex.org/W6683078067","https://openalex.org/W6727384727"],"related_works":["https://openalex.org/W1986284674","https://openalex.org/W2083944649","https://openalex.org/W1982505993","https://openalex.org/W4309503015","https://openalex.org/W2596305496","https://openalex.org/W1548444773","https://openalex.org/W58529046","https://openalex.org/W2577220285","https://openalex.org/W4386447091","https://openalex.org/W2220417288"],"abstract_inverted_index":{"People\u2019s":[0],"location":[1,35,71],"data":[2,28,66,94,118,135,144],"are":[3],"continuously":[4],"tracked":[5],"from":[6],"various":[7],"devices":[8],"and":[9,23,82,96,98,147,154],"sensors,":[10],"enabling":[11],"an":[12],"ongoing":[13],"analysis":[14],"of":[15,63,111,119],"sensitive":[16],"information":[17],"that":[18],"can":[19],"violate":[20],"people\u2019s":[21],"privacy":[22,155],"reveal":[24],"confidential":[25],"information.":[26],"Synthetic":[27],"have":[29],"been":[30,53],"used":[31],"to":[32,38,108],"generate":[33],"representative":[34],"sequences":[36],"yet":[37],"maintain":[39],"the":[40,44,61,100,116],"users\u2019":[41],"privacy.":[42],"Nonetheless,":[43],"privacy-accuracy":[45],"tradeoff":[46],"between":[47],"these":[48,112],"two":[49],"measures":[50],"has":[51],"not":[52],"addressed":[54],"systematically.":[55],"In":[56],"this":[57],"article,":[58],"we":[59,104],"analyze":[60],"use":[62],"different":[64,89],"synthetic":[65,134],"generation":[67,136,145],"models":[68,85,146],"for":[69,130,133,142],"long":[70],"sequences,":[72],"including":[73],"extended":[74],"short-term":[75],"memory":[76],"networks":[77],"(LSTMs),":[78],"Markov":[79,84],"Chains":[80],"(MC),":[81],"variable-order":[83],"(VMMs).":[86],"We":[87,138],"employ":[88],"performance":[90],"measures,":[91],"such":[92],"as":[93],"similarity":[95],"privacy,":[97],"discuss":[99],"inherent":[101],"tradeoff.":[102],"Furthermore,":[103],"introduce":[105],"other":[106],"measurements":[107],"quantify":[109],"each":[110],"measures.":[113,156],"Based":[114],"on":[115],"anonymous":[117],"300":[120],"thousand":[121],"cellular-phone":[122],"users,":[123],"our":[124],"work":[125],"offers":[126],"a":[127,140],"road":[128],"map":[129],"developing":[131],"policies":[132],"processes.":[137],"propose":[139],"framework":[141],"building":[143],"evaluating":[148],"their":[149],"effectiveness":[150],"regarding":[151],"those":[152],"accuracy":[153]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":3}],"updated_date":"2026-08-12T21:12:35.861297","created_date":"2025-10-10T00:00:00"}
