{"id":"https://openalex.org/W2994849590","doi":"https://doi.org/10.1109/cwit.2019.8929901","title":"Maximal Information Leakage based Privacy Preserving Data Disclosure Mechanisms","display_name":"Maximal Information Leakage based Privacy Preserving Data Disclosure Mechanisms","publication_year":2019,"publication_date":"2019-06-01","ids":{"openalex":"https://openalex.org/W2994849590","doi":"https://doi.org/10.1109/cwit.2019.8929901","mag":"2994849590"},"language":"en","primary_location":{"id":"doi:10.1109/cwit.2019.8929901","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cwit.2019.8929901","pdf_url":null,"source":null,"license":"public-domain","license_id":"https://openalex.org/licenses/public-domain","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 16th Canadian Workshop on Information Theory (CWIT)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5029875754","display_name":"Tianrui Xiao","orcid":null},"institutions":[{"id":"https://openalex.org/I185261750","display_name":"University of Toronto","ror":"https://ror.org/03dbr7087","country_code":"CA","type":"education","lineage":["https://openalex.org/I185261750"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Tianrui Xiao","raw_affiliation_strings":["Dept. of Electrical & Computer Engineering, University of Toronto, Toronto, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Electrical & Computer Engineering, University of Toronto, Toronto, Canada","institution_ids":["https://openalex.org/I185261750"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046253142","display_name":"Ashish Khisti","orcid":"https://orcid.org/0000-0002-2331-8965"},"institutions":[{"id":"https://openalex.org/I185261750","display_name":"University of Toronto","ror":"https://ror.org/03dbr7087","country_code":"CA","type":"education","lineage":["https://openalex.org/I185261750"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Ashish Khisti","raw_affiliation_strings":["Dept. of Electrical & Computer Engineering, University of Toronto, Toronto, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Electrical & Computer Engineering, University of Toronto, Toronto, Canada","institution_ids":["https://openalex.org/I185261750"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I185261750"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"abs 1412 6980","issue":null,"first_page":"1","last_page":"6"},"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":0.996999979019165,"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":0.9968000054359436,"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/information-leakage","display_name":"Information leakage","score":0.7411584258079529},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7348346710205078},{"id":"https://openalex.org/keywords/information-privacy","display_name":"Information privacy","score":0.6412124037742615},{"id":"https://openalex.org/keywords/adversary","display_name":"Adversary","score":0.6060167551040649},{"id":"https://openalex.org/keywords/bernoullis-principle","display_name":"Bernoulli's principle","score":0.6056265830993652},{"id":"https://openalex.org/keywords/mutual-information","display_name":"Mutual information","score":0.5890985131263733},{"id":"https://openalex.org/keywords/mnist-database","display_name":"MNIST database","score":0.5776777863502502},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.5249041318893433},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.5155013203620911},{"id":"https://openalex.org/keywords/information-sensitivity","display_name":"Information sensitivity","score":0.5073668360710144},{"id":"https://openalex.org/keywords/confidentiality","display_name":"Confidentiality","score":0.47638481855392456},{"id":"https://openalex.org/keywords/bernoulli-distribution","display_name":"Bernoulli distribution","score":0.46460384130477905},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.41906464099884033},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.3940454125404358},{"id":"https://openalex.org/keywords/random-variable","display_name":"Random variable","score":0.39151179790496826},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.22254878282546997},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17725327610969543},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.11876463890075684},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1097663938999176}],"concepts":[{"id":"https://openalex.org/C2779201187","wikidata":"https://www.wikidata.org/wiki/Q2775060","display_name":"Information leakage","level":2,"score":0.7411584258079529},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7348346710205078},{"id":"https://openalex.org/C123201435","wikidata":"https://www.wikidata.org/wiki/Q456632","display_name":"Information privacy","level":2,"score":0.6412124037742615},{"id":"https://openalex.org/C41065033","wikidata":"https://www.wikidata.org/wiki/Q2825412","display_name":"Adversary","level":2,"score":0.6060167551040649},{"id":"https://openalex.org/C152361515","wikidata":"https://www.wikidata.org/wiki/Q181328","display_name":"Bernoulli's principle","level":2,"score":0.6056265830993652},{"id":"https://openalex.org/C152139883","wikidata":"https://www.wikidata.org/wiki/Q252973","display_name":"Mutual information","level":2,"score":0.5890985131263733},{"id":"https://openalex.org/C190502265","wikidata":"https://www.wikidata.org/wiki/Q17069496","display_name":"MNIST database","level":3,"score":0.5776777863502502},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.5249041318893433},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.5155013203620911},{"id":"https://openalex.org/C137822555","wikidata":"https://www.wikidata.org/wiki/Q2587068","display_name":"Information sensitivity","level":2,"score":0.5073668360710144},{"id":"https://openalex.org/C71745522","wikidata":"https://www.wikidata.org/wiki/Q2476929","display_name":"Confidentiality","level":2,"score":0.47638481855392456},{"id":"https://openalex.org/C27956954","wikidata":"https://www.wikidata.org/wiki/Q391371","display_name":"Bernoulli distribution","level":3,"score":0.46460384130477905},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.41906464099884033},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.3940454125404358},{"id":"https://openalex.org/C122123141","wikidata":"https://www.wikidata.org/wiki/Q176623","display_name":"Random variable","level":2,"score":0.39151179790496826},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.22254878282546997},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17725327610969543},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.11876463890075684},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1097663938999176},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","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},{"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:10.1109/cwit.2019.8929901","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cwit.2019.8929901","pdf_url":null,"source":null,"license":"public-domain","license_id":"https://openalex.org/licenses/public-domain","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 16th Canadian Workshop on Information Theory (CWIT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.6299999952316284,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1959608418","https://openalex.org/W2343097824","https://openalex.org/W2531035071","https://openalex.org/W2744172881","https://openalex.org/W2765886485","https://openalex.org/W2963508973","https://openalex.org/W2964121744","https://openalex.org/W2993016614","https://openalex.org/W2994849590","https://openalex.org/W3099111404","https://openalex.org/W4292735334","https://openalex.org/W6631190155","https://openalex.org/W6640963894","https://openalex.org/W6727953264","https://openalex.org/W6747049712","https://openalex.org/W6761125099"],"related_works":["https://openalex.org/W4302773852","https://openalex.org/W4288075818","https://openalex.org/W189451467","https://openalex.org/W2077568170","https://openalex.org/W3200138464","https://openalex.org/W2143793665","https://openalex.org/W42776009","https://openalex.org/W2138926267","https://openalex.org/W3010548582","https://openalex.org/W3167747526"],"abstract_inverted_index":{"It":[0],"is":[1,94,103],"often":[2],"necessary":[3],"to":[4,8,24,39,120,130],"disclose":[5],"training":[6],"data":[7,29,37,55,122,143],"the":[9,36,44,53,58,68,74,79,82,91,95,98,101,110,131,139],"public":[10],"domain,":[11],"while":[12],"protecting":[13],"privacy":[14,27,63,155],"of":[15,81,107,117],"certain":[16],"sensitive":[17],"labels.":[18],"We":[19,47,65,88,112],"use":[20,48],"information":[21,50],"theoretic":[22],"measures":[23],"develop":[25],"such":[26],"preserving":[28],"disclosure":[30],"mechanisms.":[31],"Our":[32],"mechanism":[33],"involves":[34],"perturbing":[35],"vectors":[38],"strike":[40],"a":[41,121],"balance":[42],"in":[43],"privacy-utility":[45,75],"trade-off.":[46],"maximal":[49],"leakage":[51],"between":[52],"output":[54],"vector":[56],"and":[57,72,125,141],"confidential":[59],"label":[60],"as":[61,97],"our":[62,148],"metric.":[64],"first":[66],"study":[67,73],"theoretical":[69],"Bernoulli-Gaussian":[70],"model":[71],"trade-off":[76],"when":[77,100],"only":[78],"mean":[80],"Gaussian":[83],"distributions":[84],"can":[85],"be":[86],"perturbed.":[87],"show":[89,146],"that":[90,147],"optimal":[92],"solution":[93],"same":[96],"case":[99],"utility":[102],"measured":[104],"using":[105],"probability":[106],"error":[108],"at":[109],"adversary.":[111],"then":[113],"consider":[114],"an":[115,127],"application":[116],"this":[118],"framework":[119,150],"driven":[123],"setting":[124],"provide":[126],"empirical":[128],"approximation":[129],"Sibson":[132],"mutual":[133,161],"information.":[134,162],"By":[135],"performing":[136],"experiments":[137],"on":[138,160],"MNIST":[140],"FERG":[142],"sets,":[144],"we":[145],"proposed":[149],"achieves":[151],"equivalent":[152],"or":[153],"better":[154],"than":[156],"previous":[157],"methods":[158],"based":[159]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}