{"id":"https://openalex.org/W4404644611","doi":"https://doi.org/10.1145/3678717.3691274","title":"Adversarial Reconstruction of Trajectories: Privacy Risks and Attack Models in Trajectory Embedding","display_name":"Adversarial Reconstruction of Trajectories: Privacy Risks and Attack Models in Trajectory Embedding","publication_year":2024,"publication_date":"2024-10-29","ids":{"openalex":"https://openalex.org/W4404644611","doi":"https://doi.org/10.1145/3678717.3691274"},"language":"en","primary_location":{"id":"doi:10.1145/3678717.3691274","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3678717.3691274","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 32nd ACM International Conference on Advances in Geographic Information Systems","raw_type":"proceedings-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/A5113920089","display_name":"Hui-cheng Han","orcid":null},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Haochen Han","raw_affiliation_strings":["Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113712880","display_name":"Soo-Kyung Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuaiyu Yang","raw_affiliation_strings":["Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080158271","display_name":"Jiaxin Ding","orcid":"https://orcid.org/0000-0002-0009-9237"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiaxin Ding","raw_affiliation_strings":["Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048486573","display_name":"Luoyi Fu","orcid":"https://orcid.org/0000-0001-7796-9168"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Luoyi Fu","raw_affiliation_strings":["Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034483183","display_name":"Xinbing Wang","orcid":"https://orcid.org/0000-0002-0357-8356"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinbing Wang","raw_affiliation_strings":["Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023919188","display_name":"Chenghu Zhou","orcid":"https://orcid.org/0000-0003-3331-2302"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chenghu Zhou","raw_affiliation_strings":["Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5113920089"],"corresponding_institution_ids":["https://openalex.org/I183067930"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.28484731,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"259","last_page":"269"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13282","display_name":"Automated Road and Building Extraction","score":0.9954000115394592,"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"}},"topics":[{"id":"https://openalex.org/T13282","display_name":"Automated Road and Building Extraction","score":0.9954000115394592,"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/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9922999739646912,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive 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/T11106","display_name":"Data Management and Algorithms","score":0.9909999966621399,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/adversarial-system","display_name":"Adversarial system","score":0.7353620529174805},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.7278018593788147},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6739532351493835},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.6134791970252991},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.5237638354301453},{"id":"https://openalex.org/keywords/internet-privacy","display_name":"Internet privacy","score":0.3511860966682434},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2590019106864929}],"concepts":[{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.7353620529174805},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.7278018593788147},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6739532351493835},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.6134791970252991},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.5237638354301453},{"id":"https://openalex.org/C108827166","wikidata":"https://www.wikidata.org/wiki/Q175975","display_name":"Internet privacy","level":1,"score":0.3511860966682434},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2590019106864929},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","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":1,"locations":[{"id":"doi:10.1145/3678717.3691274","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3678717.3691274","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 32nd ACM International Conference on Advances in Geographic Information Systems","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":43,"referenced_works":["https://openalex.org/W1990444226","https://openalex.org/W2075711464","https://openalex.org/W2082894754","https://openalex.org/W2115240023","https://openalex.org/W2118371392","https://openalex.org/W2124299914","https://openalex.org/W2166692930","https://openalex.org/W2518164973","https://openalex.org/W2734775449","https://openalex.org/W2774417388","https://openalex.org/W2795016801","https://openalex.org/W2798969829","https://openalex.org/W2809623940","https://openalex.org/W2891096760","https://openalex.org/W2901248900","https://openalex.org/W2914982603","https://openalex.org/W2952493731","https://openalex.org/W2952785130","https://openalex.org/W2970568805","https://openalex.org/W3006775836","https://openalex.org/W3013693561","https://openalex.org/W3029191757","https://openalex.org/W3046764764","https://openalex.org/W3091473186","https://openalex.org/W3096738375","https://openalex.org/W3134624922","https://openalex.org/W3145013517","https://openalex.org/W3157597645","https://openalex.org/W3165639541","https://openalex.org/W3177398968","https://openalex.org/W3189551349","https://openalex.org/W3196012972","https://openalex.org/W3210395416","https://openalex.org/W3213170289","https://openalex.org/W4200186003","https://openalex.org/W4214931895","https://openalex.org/W4236099117","https://openalex.org/W4244225911","https://openalex.org/W4246297465","https://openalex.org/W4308642974","https://openalex.org/W4309652271","https://openalex.org/W4385270681","https://openalex.org/W4385572432"],"related_works":["https://openalex.org/W2502115930","https://openalex.org/W2482350142","https://openalex.org/W4246396837","https://openalex.org/W3126451824","https://openalex.org/W1561927205","https://openalex.org/W3191453585","https://openalex.org/W4297672492","https://openalex.org/W4310988119","https://openalex.org/W4285226279","https://openalex.org/W4288019534"],"abstract_inverted_index":{"Human":[0],"trajectories,":[1,74,205],"representing":[2],"sequences":[3],"of":[4,87,98,116,150,176,210],"location":[5],"points":[6],"over":[7],"time,":[8],"are":[9],"extensively":[10],"collected":[11],"and":[12,24,40,55,140,169,198],"analyzed":[13],"for":[14,221],"various":[15],"real-world":[16,183],"applications":[17],"such":[18],"as":[19],"urban":[20],"planning,":[21],"transportation":[22],"management,":[23],"personalized":[25],"location-based":[26],"services.":[27],"Trajectory":[28],"embedding":[29],"transforms":[30],"raw":[31],"trajectories":[32,103,189],"into":[33],"vector":[34,50],"representations,":[35],"capturing":[36],"the":[37,43,46,84,111,119,130,133,147,151,160,177,187,203,207,219],"underlying":[38],"patterns":[39],"structures":[41],"in":[42,225],"data.":[44],"However,":[45],"abstraction":[47],"provided":[48],"by":[49,69],"representations":[51],"introduces":[52],"significant":[53,208],"security":[54],"privacy":[56,85,214],"risks.":[57],"These":[58,216],"embeddings,":[59],"often":[60],"shared":[61],"between":[62,165],"entities":[63],"or":[64],"organizations,":[65],"can":[66],"be":[67],"exploited":[68],"adversaries":[70],"to":[71,100,118,129,135,145,172,213],"reconstruct":[72,101],"original":[73,102,204],"thereby":[75],"compromising":[76],"individual":[77],"privacy.":[78],"In":[79],"this":[80],"paper,":[81],"we":[82],"investigate":[83],"issues":[86],"trajectory":[88,167,211],"embeddings":[89,212],"from":[90],"an":[91],"adversary's":[92],"perspective.":[93],"We":[94],"propose":[95],"two":[96],"types":[97],"attacks":[99],"using":[104],"road":[105,148,170],"network":[106,144],"information,":[107],"addressing":[108],"scenarios":[109],"where":[110,159],"adversary":[112,134,161],"has":[113],"varying":[114],"degrees":[115],"access":[117,128],"black-box":[120],"representation":[121],"model.":[122],"The":[123,153],"first":[124],"attack":[125,155],"assumes":[126],"unrestricted":[127],"model,":[131],"allowing":[132],"construct":[136],"a":[137,142,182],"large-scale":[138],"dataset":[139,184],"train":[141],"neural":[143],"predict":[146],"sequence":[149],"trajectories.":[152],"second":[154],"considers":[156],"limited":[157],"access,":[158],"computes":[162],"distance":[163],"coordinates":[164],"selected":[166],"landmarks":[168],"segments":[171],"infer":[173],"different":[174],"parts":[175],"trajectory.":[178],"Our":[179],"experiments":[180],"on":[181],"demonstrate":[185],"that":[186],"reconstructed":[188],"outperform":[190],"baseline":[191],"methods,":[192],"achieving":[193],"substantially":[194],"lower":[195],"reconstruction":[196],"errors":[197],"more":[199],"accurate":[200],"alignment":[201],"with":[202],"highlighting":[206],"vulnerability":[209],"breaches.":[215],"findings":[217],"underscore":[218],"need":[220],"robust":[222],"privacy-preserving":[223],"mechanisms":[224],"spatio-temporal":[226],"data":[227],"analysis.":[228]},"counts_by_year":[],"updated_date":"2025-12-21T01:58:51.020947","created_date":"2025-10-10T00:00:00"}
