{"id":"https://openalex.org/W4386065969","doi":"https://doi.org/10.1109/isit54713.2023.10206975","title":"Pointwise Maximal Leakage on General Alphabets","display_name":"Pointwise Maximal Leakage on General Alphabets","publication_year":2023,"publication_date":"2023-06-25","ids":{"openalex":"https://openalex.org/W4386065969","doi":"https://doi.org/10.1109/isit54713.2023.10206975"},"language":"en","primary_location":{"id":"doi:10.1109/isit54713.2023.10206975","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit54713.2023.10206975","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 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/A5008260742","display_name":"Sara Saeidian","orcid":"https://orcid.org/0000-0001-6908-559X"},"institutions":[{"id":"https://openalex.org/I86987016","display_name":"KTH Royal Institute of Technology","ror":"https://ror.org/026vcq606","country_code":"SE","type":"education","lineage":["https://openalex.org/I86987016"]}],"countries":["SE"],"is_corresponding":true,"raw_author_name":"Sara Saeidian","raw_affiliation_strings":["KTH Royal Institute of Technology,Stockholm,Sweden,100 44"],"affiliations":[{"raw_affiliation_string":"KTH Royal Institute of Technology,Stockholm,Sweden,100 44","institution_ids":["https://openalex.org/I86987016"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035677079","display_name":"Giulia Cervia","orcid":"https://orcid.org/0000-0002-7868-4188"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Giulia Cervia","raw_affiliation_strings":["IMT Nord Europe,Centre for Digital Systems,Lille,France,F-59000"],"affiliations":[{"raw_affiliation_string":"IMT Nord Europe,Centre for Digital Systems,Lille,France,F-59000","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079492269","display_name":"Tobias J. Oechtering","orcid":"https://orcid.org/0000-0002-0036-9049"},"institutions":[{"id":"https://openalex.org/I86987016","display_name":"KTH Royal Institute of Technology","ror":"https://ror.org/026vcq606","country_code":"SE","type":"education","lineage":["https://openalex.org/I86987016"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Tobias J. Oechtering","raw_affiliation_strings":["KTH Royal Institute of Technology,Stockholm,Sweden,100 44"],"affiliations":[{"raw_affiliation_string":"KTH Royal Institute of Technology,Stockholm,Sweden,100 44","institution_ids":["https://openalex.org/I86987016"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5041348422","display_name":"Mikael Skoglund","orcid":"https://orcid.org/0000-0002-7926-5081"},"institutions":[{"id":"https://openalex.org/I86987016","display_name":"KTH Royal Institute of Technology","ror":"https://ror.org/026vcq606","country_code":"SE","type":"education","lineage":["https://openalex.org/I86987016"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Mikael Skoglund","raw_affiliation_strings":["KTH Royal Institute of Technology,Stockholm,Sweden,100 44"],"affiliations":[{"raw_affiliation_string":"KTH Royal Institute of Technology,Stockholm,Sweden,100 44","institution_ids":["https://openalex.org/I86987016"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5008260742"],"corresponding_institution_ids":["https://openalex.org/I86987016"],"apc_list":null,"apc_paid":null,"fwci":1.5711,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.86409671,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"388","last_page":"393"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9975000023841858,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9975000023841858,"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":0.9972000122070312,"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/T10951","display_name":"Cryptographic Implementations and Security","score":0.9958000183105469,"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/pointwise","display_name":"Pointwise","score":0.880338728427887},{"id":"https://openalex.org/keywords/random-variable","display_name":"Random variable","score":0.7215244174003601},{"id":"https://openalex.org/keywords/discrete-mathematics","display_name":"Discrete mathematics","score":0.5487072467803955},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5243502259254456},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.4685410261154175},{"id":"https://openalex.org/keywords/pointwise-mutual-information","display_name":"Pointwise mutual information","score":0.46459293365478516},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4345704913139343},{"id":"https://openalex.org/keywords/value","display_name":"Value (mathematics)","score":0.4103376269340515},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.36977946758270264},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.13928291201591492},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.13584786653518677},{"id":"https://openalex.org/keywords/mutual-information","display_name":"Mutual information","score":0.1355808973312378},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.10082653164863586}],"concepts":[{"id":"https://openalex.org/C2777984123","wikidata":"https://www.wikidata.org/wiki/Q9248237","display_name":"Pointwise","level":2,"score":0.880338728427887},{"id":"https://openalex.org/C122123141","wikidata":"https://www.wikidata.org/wiki/Q176623","display_name":"Random variable","level":2,"score":0.7215244174003601},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.5487072467803955},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5243502259254456},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.4685410261154175},{"id":"https://openalex.org/C7797323","wikidata":"https://www.wikidata.org/wiki/Q3798612","display_name":"Pointwise mutual information","level":3,"score":0.46459293365478516},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4345704913139343},{"id":"https://openalex.org/C2776291640","wikidata":"https://www.wikidata.org/wiki/Q2912517","display_name":"Value (mathematics)","level":2,"score":0.4103376269340515},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.36977946758270264},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.13928291201591492},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.13584786653518677},{"id":"https://openalex.org/C152139883","wikidata":"https://www.wikidata.org/wiki/Q252973","display_name":"Mutual information","level":2,"score":0.1355808973312378},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.10082653164863586}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isit54713.2023.10206975","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit54713.2023.10206975","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Symposium on Information Theory (ISIT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.5299999713897705}],"awards":[],"funders":[{"id":"https://openalex.org/F4320316851","display_name":"KT","ror":"https://ror.org/043n4tt17"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W615510159","https://openalex.org/W1498636830","https://openalex.org/W1883968710","https://openalex.org/W1987983106","https://openalex.org/W2026653933","https://openalex.org/W2089983145","https://openalex.org/W2097151854","https://openalex.org/W2122882636","https://openalex.org/W2167136065","https://openalex.org/W2564029303","https://openalex.org/W2734457061","https://openalex.org/W2922457090","https://openalex.org/W2963412800","https://openalex.org/W2963535017","https://openalex.org/W2968437089","https://openalex.org/W2971533378","https://openalex.org/W2975302291","https://openalex.org/W2998261580","https://openalex.org/W3101467561","https://openalex.org/W3121783531","https://openalex.org/W3141610964","https://openalex.org/W3169870919","https://openalex.org/W3174841542","https://openalex.org/W4251333191","https://openalex.org/W4289655248","https://openalex.org/W4386065969"],"related_works":["https://openalex.org/W991959198","https://openalex.org/W4382491306","https://openalex.org/W759769899","https://openalex.org/W2056351605","https://openalex.org/W3165449742","https://openalex.org/W4386065969","https://openalex.org/W4366343364","https://openalex.org/W1484000421","https://openalex.org/W2122668420","https://openalex.org/W2174000564"],"abstract_inverted_index":{"Pointwise":[0],"maximal":[1],"leakage":[2],"(PML)":[3],"is":[4],"an":[5],"operationally":[6],"meaningful":[7],"privacy":[8],"measure":[9],"that":[10,88,111],"quantifies":[11],"the":[12,36,68,90,124],"amount":[13],"of":[14,25,38,70,77,86,93,109,115],"information":[15],"leaking":[16],"about":[17,123],"a":[18,22,26,105],"secret":[19],"X":[20,87],"to":[21,40,56,66,103],"single":[23],"outcome":[24],"related":[27],"random":[28,41,59],"variable":[29],"Y.":[30],"In":[31],"this":[32,100],"paper,":[33],"we":[34,53,80],"extend":[35,54],"notion":[37],"PML":[39,55,110],"variables":[42,60],"on":[43],"arbitrary":[44],"probability":[45,126],"spaces.":[46,127],"We":[47,98],"develop":[48],"two":[49],"new":[50],"definitions:":[51],"First,":[52],"countably":[57,74],"infinite":[58],"by":[61],"considering":[62],"adversaries":[63,82],"who":[64,83],"aim":[65],"guess":[67],"value":[69,92],"discrete":[71],"(finite":[72],"or":[73],"infinite)":[75],"functions":[76],"X.":[78],"Then,":[79],"consider":[81],"construct":[84],"estimates":[85],"maximize":[89],"expected":[91],"their":[94],"corresponding":[95],"gain":[96],"functions.":[97],"use":[99],"latter":[101],"setup":[102],"introduce":[104],"highly":[106],"versatile":[107],"form":[108],"captures":[112],"many":[113],"scenarios":[114],"practical":[116],"interest":[117],"whose":[118],"definition":[119],"requires":[120],"no":[121],"assumptions":[122],"underlying":[125]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-09T23:09:16.995542","created_date":"2025-10-10T00:00:00"}
