{"id":"https://openalex.org/W4289713197","doi":"https://doi.org/10.1109/isit50566.2022.9834520","title":"An Information-Theoretic Characterization of Pufferfish Privacy","display_name":"An Information-Theoretic Characterization of Pufferfish Privacy","publication_year":2022,"publication_date":"2022-06-26","ids":{"openalex":"https://openalex.org/W4289713197","doi":"https://doi.org/10.1109/isit50566.2022.9834520"},"language":"en","primary_location":{"id":"doi:10.1109/isit50566.2022.9834520","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit50566.2022.9834520","pdf_url":null,"source":{"id":"https://openalex.org/S4363604560","display_name":"2022 IEEE International Symposium on Information Theory (ISIT)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Symposium on Information Theory (ISIT)","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/A5025647091","display_name":"Theshani Nuradha","orcid":"https://orcid.org/0000-0002-6932-2994"},"institutions":[{"id":"https://openalex.org/I205783295","display_name":"Cornell University","ror":"https://ror.org/05bnh6r87","country_code":"US","type":"education","lineage":["https://openalex.org/I205783295"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Theshani Nuradha","raw_affiliation_strings":["Cornell University"],"affiliations":[{"raw_affiliation_string":"Cornell University","institution_ids":["https://openalex.org/I205783295"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5071112095","display_name":"Ziv Goldfeld","orcid":"https://orcid.org/0000-0003-3406-3950"},"institutions":[{"id":"https://openalex.org/I205783295","display_name":"Cornell University","ror":"https://ror.org/05bnh6r87","country_code":"US","type":"education","lineage":["https://openalex.org/I205783295"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ziv Goldfeld","raw_affiliation_strings":["Cornell University"],"affiliations":[{"raw_affiliation_string":"Cornell University","institution_ids":["https://openalex.org/I205783295"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5025647091"],"corresponding_institution_ids":["https://openalex.org/I205783295"],"apc_list":null,"apc_paid":null,"fwci":0.4158,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.57169791,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"2005","last_page":"2010"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":1.0,"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":1.0,"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/T10237","display_name":"Cryptography and Data Security","score":0.9976999759674072,"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/T10964","display_name":"Wireless Communication Security Techniques","score":0.9961000084877014,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"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/computer-science","display_name":"Computer science","score":0.6896296739578247},{"id":"https://openalex.org/keywords/mutual-information","display_name":"Mutual information","score":0.6611357927322388},{"id":"https://openalex.org/keywords/information-theory","display_name":"Information theory","score":0.610539436340332},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.5671250820159912},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.49123018980026245},{"id":"https://openalex.org/keywords/differential-privacy","display_name":"Differential privacy","score":0.48458588123321533},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.4780636131763458},{"id":"https://openalex.org/keywords/composability","display_name":"Composability","score":0.44388478994369507},{"id":"https://openalex.org/keywords/convexity","display_name":"Convexity","score":0.41290485858917236},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.23782995343208313},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.22142845392227173},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.20880216360092163},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.13263443112373352}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6896296739578247},{"id":"https://openalex.org/C152139883","wikidata":"https://www.wikidata.org/wiki/Q252973","display_name":"Mutual information","level":2,"score":0.6611357927322388},{"id":"https://openalex.org/C52622258","wikidata":"https://www.wikidata.org/wiki/Q131222","display_name":"Information theory","level":2,"score":0.610539436340332},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.5671250820159912},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.49123018980026245},{"id":"https://openalex.org/C23130292","wikidata":"https://www.wikidata.org/wiki/Q5275358","display_name":"Differential privacy","level":2,"score":0.48458588123321533},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4780636131763458},{"id":"https://openalex.org/C2778814252","wikidata":"https://www.wikidata.org/wiki/Q5156715","display_name":"Composability","level":2,"score":0.44388478994369507},{"id":"https://openalex.org/C72134830","wikidata":"https://www.wikidata.org/wiki/Q5166524","display_name":"Convexity","level":2,"score":0.41290485858917236},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.23782995343208313},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22142845392227173},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.20880216360092163},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.13263443112373352},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C106159729","wikidata":"https://www.wikidata.org/wiki/Q2294553","display_name":"Financial economics","level":1,"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/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isit50566.2022.9834520","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit50566.2022.9834520","pdf_url":null,"source":{"id":"https://openalex.org/S4363604560","display_name":"2022 IEEE International Symposium on Information Theory (ISIT)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Symposium on Information Theory (ISIT)","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":0.5699999928474426}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1484817741","https://openalex.org/W1593786937","https://openalex.org/W1873763122","https://openalex.org/W1883968710","https://openalex.org/W1993277610","https://openalex.org/W2004915866","https://openalex.org/W2026653933","https://openalex.org/W2033092546","https://openalex.org/W2074503439","https://openalex.org/W2478708596","https://openalex.org/W2515654213","https://openalex.org/W2564029303","https://openalex.org/W2595058628","https://openalex.org/W2607913557","https://openalex.org/W2744172881","https://openalex.org/W2952051345","https://openalex.org/W2963412800","https://openalex.org/W3099542802","https://openalex.org/W3103887321","https://openalex.org/W3104060356","https://openalex.org/W4205228770","https://openalex.org/W4297727327","https://openalex.org/W6635586961","https://openalex.org/W6639246211","https://openalex.org/W6651608069","https://openalex.org/W6782899447"],"related_works":["https://openalex.org/W4379087925","https://openalex.org/W2785995440","https://openalex.org/W3124771927","https://openalex.org/W3212925274","https://openalex.org/W2920676536","https://openalex.org/W4225940264","https://openalex.org/W2750125254","https://openalex.org/W2111510771","https://openalex.org/W2057609120","https://openalex.org/W2889544313"],"abstract_inverted_index":{"Pufferfish":[0],"privacy":[1,9,24],"(PP)":[2],"is":[3],"an":[4,57,83],"appealing":[5],"generalization":[6],"of":[7,32,36,52,61],"differential":[8],"(DP),":[10],"that":[11],"offers":[12],"flexibility":[13],"in":[14,34,127],"specifying":[15],"sensitive":[16],"information":[17,38,53,67],"and":[18,42,71,86,94,122],"integrating":[19],"domain":[20],"knowledge":[21],"into":[22],"the":[23,28,50,64,69,72,75,110],"definition.":[25],"Inspired":[26],"by":[27,40],"illuminating":[29],"equivalent":[30,58],"formulation":[31,60,79,104],"DP":[33],"terms":[35],"mutual":[37,66],"proposed":[39],"Cuff":[41],"Yu":[43],"[1],":[44],"this":[45],"work":[46],"explores":[47],"PP":[48,62,98,112],"through":[49],"lens":[51],"theory.":[54],"We":[55,100],"provide":[56,123],"information-theoretic":[59,84],"as":[63],"conditional":[65],"between":[68],"mechanism":[70],"secret,":[73],"given":[74],"public":[76],"information.":[77],"This":[78],"lends":[80],"well":[81],"for":[82,97,109],"analysis,":[85],"we":[87],"use":[88],"it":[89],"to":[90,105,131],"prove":[91],"convexity,":[92],"composability,":[93],"post-processing":[95],"properties":[96],"mechanisms.":[99,113],"also":[101],"leverage":[102],"our":[103],"derive":[106],"noise":[107,125],"levels":[108,126],"Gaussian":[111],"The":[114],"obtained":[115],"mechanisms":[116],"are":[117],"applicable":[118],"under":[119],"relaxed":[120],"assumptions":[121],"improved":[124],"some":[128],"regimes,":[129],"compared":[130],"existing":[132],"approaches,":[133]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
