{"id":"https://openalex.org/W3212692821","doi":"https://doi.org/10.1145/3460120.3484552","title":"Reconstructing with Less: Leakage Abuse Attacks in Two Dimensions","display_name":"Reconstructing with Less: Leakage Abuse Attacks in Two Dimensions","publication_year":2021,"publication_date":"2021-11-12","ids":{"openalex":"https://openalex.org/W3212692821","doi":"https://doi.org/10.1145/3460120.3484552","mag":"3212692821"},"language":"en","primary_location":{"id":"doi:10.1145/3460120.3484552","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3460120.3484552","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2021 ACM SIGSAC Conference on Computer and Communications Security","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/A5027911728","display_name":"Evangelia Anna Markatou","orcid":"https://orcid.org/0009-0005-3902-977X"},"institutions":[{"id":"https://openalex.org/I27804330","display_name":"Brown University","ror":"https://ror.org/05gq02987","country_code":"US","type":"education","lineage":["https://openalex.org/I27804330"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Evangelia Anna Markatou","raw_affiliation_strings":["Brown University, Providence, RI, USA"],"affiliations":[{"raw_affiliation_string":"Brown University, Providence, RI, USA","institution_ids":["https://openalex.org/I27804330"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089313722","display_name":"Francesca Falzon","orcid":"https://orcid.org/0000-0001-8415-6237"},"institutions":[{"id":"https://openalex.org/I39422238","display_name":"University of Illinois Chicago","ror":"https://ror.org/02mpq6x41","country_code":"US","type":"education","lineage":["https://openalex.org/I39422238"]},{"id":"https://openalex.org/I40347166","display_name":"University of Chicago","ror":"https://ror.org/024mw5h28","country_code":"US","type":"education","lineage":["https://openalex.org/I40347166"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Francesca Falzon","raw_affiliation_strings":["University of Chicago, Chicago, IL, USA"],"affiliations":[{"raw_affiliation_string":"University of Chicago, Chicago, IL, USA","institution_ids":["https://openalex.org/I40347166","https://openalex.org/I39422238"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079716343","display_name":"Roberto Tamassia","orcid":"https://orcid.org/0000-0003-2445-6064"},"institutions":[{"id":"https://openalex.org/I27804330","display_name":"Brown University","ror":"https://ror.org/05gq02987","country_code":"US","type":"education","lineage":["https://openalex.org/I27804330"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Roberto Tamassia","raw_affiliation_strings":["Brown University, Providence, RI, USA"],"affiliations":[{"raw_affiliation_string":"Brown University, Providence, RI, USA","institution_ids":["https://openalex.org/I27804330"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5066391688","display_name":"William Schor","orcid":null},"institutions":[{"id":"https://openalex.org/I27804330","display_name":"Brown University","ror":"https://ror.org/05gq02987","country_code":"US","type":"education","lineage":["https://openalex.org/I27804330"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"William Schor","raw_affiliation_strings":["Brown University, Providence, RI, USA"],"affiliations":[{"raw_affiliation_string":"Brown University, Providence, RI, USA","institution_ids":["https://openalex.org/I27804330"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5027911728"],"corresponding_institution_ids":["https://openalex.org/I27804330"],"apc_list":null,"apc_paid":null,"fwci":2.0963,"has_fulltext":false,"cited_by_count":22,"citation_normalized_percentile":{"value":0.8948526,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"2243","last_page":"2261"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10237","display_name":"Cryptography and Data Security","score":0.9991000294685364,"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/T10237","display_name":"Cryptography and Data Security","score":0.9991000294685364,"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/T10522","display_name":"Medical Imaging Techniques and Applications","score":0.9894999861717224,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9894999861717224,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7077513933181763},{"id":"https://openalex.org/keywords/centroid","display_name":"Centroid","score":0.572567343711853},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.543537437915802},{"id":"https://openalex.org/keywords/leakage","display_name":"Leakage (economics)","score":0.5279625654220581},{"id":"https://openalex.org/keywords/information-leakage","display_name":"Information leakage","score":0.5170246362686157},{"id":"https://openalex.org/keywords/encryption","display_name":"Encryption","score":0.4881599545478821},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4440404176712036},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.4343244731426239},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.30481410026550293},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1482471227645874}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7077513933181763},{"id":"https://openalex.org/C146599234","wikidata":"https://www.wikidata.org/wiki/Q511093","display_name":"Centroid","level":2,"score":0.572567343711853},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.543537437915802},{"id":"https://openalex.org/C2777042071","wikidata":"https://www.wikidata.org/wiki/Q6509304","display_name":"Leakage (economics)","level":2,"score":0.5279625654220581},{"id":"https://openalex.org/C2779201187","wikidata":"https://www.wikidata.org/wiki/Q2775060","display_name":"Information leakage","level":2,"score":0.5170246362686157},{"id":"https://openalex.org/C148730421","wikidata":"https://www.wikidata.org/wiki/Q141090","display_name":"Encryption","level":2,"score":0.4881599545478821},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4440404176712036},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.4343244731426239},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.30481410026550293},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1482471227645874},{"id":"https://openalex.org/C139719470","wikidata":"https://www.wikidata.org/wiki/Q39680","display_name":"Macroeconomics","level":1,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3460120.3484552","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3460120.3484552","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2021 ACM SIGSAC Conference on Computer and Communications Security","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.6600000262260437}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W1502708590","https://openalex.org/W1539453919","https://openalex.org/W1988374166","https://openalex.org/W2024180465","https://openalex.org/W2028344184","https://openalex.org/W2032421424","https://openalex.org/W2033165262","https://openalex.org/W2059094657","https://openalex.org/W2075581822","https://openalex.org/W2114413252","https://openalex.org/W2124055802","https://openalex.org/W2151631165","https://openalex.org/W2154448764","https://openalex.org/W2158525989","https://openalex.org/W2159915142","https://openalex.org/W2422800230","https://openalex.org/W2532292902","https://openalex.org/W2789797077","https://openalex.org/W2794508460","https://openalex.org/W2898477690","https://openalex.org/W2904005292","https://openalex.org/W2947185594","https://openalex.org/W2952330491","https://openalex.org/W2984157150","https://openalex.org/W2986992030","https://openalex.org/W3003257820","https://openalex.org/W3015963927","https://openalex.org/W3035965352","https://openalex.org/W3094992476","https://openalex.org/W3099878876","https://openalex.org/W3103145119","https://openalex.org/W3127380200","https://openalex.org/W4302799143","https://openalex.org/W6767312457"],"related_works":["https://openalex.org/W2381926679","https://openalex.org/W2007009951","https://openalex.org/W2082644203","https://openalex.org/W2350539780","https://openalex.org/W3165040664","https://openalex.org/W3122652148","https://openalex.org/W3123987581","https://openalex.org/W2358406440","https://openalex.org/W2352435628","https://openalex.org/W3175365978"],"abstract_inverted_index":{"Access":[0],"and":[1,56,76,105,124,135,142,176],"search":[2,57,133],"pattern":[3,58,74,134,137],"leakage":[4,138],"from":[5,34,184],"range":[6,36],"queries":[7,37,182],"are":[8,42,111],"detrimental":[9],"to":[10,85,153],"the":[11,31,54,80,83,87,90,102,109,132,143,146,155,163],"security":[12],"of":[13,22,59,89,108,129,139,145,159,165],"encrypted":[14],"databases,":[15],"as":[16],"evidenced":[17],"by":[18],"a":[19,166],"large":[20],"body":[21],"work":[23],"on":[24,72,178],"attacks":[25],"that":[26,39,69,79,121],"reconstruct":[27],"one-dimensional":[28],"databases.":[29],"Recently,":[30],"first":[32],"attack":[33,52,68,95,120],"2D":[35],"showed":[38],"higher-dimensional":[40],"databases":[41,180],"also":[43,96,114],"in":[44],"danger":[45],"(Falzon":[46],"et":[47],"al.":[48],"CCS":[49],"2020).":[50],"Their":[51],"requires":[53],"access":[55,73,136],"all":[60],"possible":[61],"queries.":[62],"We":[63,113,169],"present":[64],"an":[65,116],"order":[66,81,144],"reconstruction":[67,100,119,156],"only":[70],"depends":[71],"leakage,":[75],"empirically":[77],"show":[78,151],"allows":[82],"attacker":[84],"infer":[86],"geometry":[88],"underlying":[91],"data.":[92],"Notably,":[93],"this":[94],"achieves":[97],"full":[98],"database":[99,118,147],"when":[101],"1D":[103],"horizontal":[104],"vertical":[106],"projections":[107],"points":[110],"dense.":[112],"give":[115],"approximate":[117],"is":[122],"distribution-agnostic":[123],"works":[125],"with":[126,173,181],"any":[127],"sample":[128],"queries,":[130,141],"given":[131,157],"those":[140],"records.":[148],"Finally,":[149],"we":[150],"how":[152],"improve":[154],"knowledge":[158],"auxiliary":[160],"information":[161],"(e.g.,":[162],"centroid":[164],"related":[167],"dataset).":[168],"support":[170],"our":[171],"results":[172],"formal":[174],"analysis":[175],"experiments":[177],"real-world":[179],"drawn":[183],"various":[185],"distributions.":[186]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":4}],"updated_date":"2026-03-17T09:09:15.849793","created_date":"2025-10-10T00:00:00"}
