{"id":"https://openalex.org/W3168945477","doi":"https://doi.org/10.1145/3468218.3469040","title":"Variational Leakage","display_name":"Variational Leakage","publication_year":2021,"publication_date":"2021-06-21","ids":{"openalex":"https://openalex.org/W3168945477","doi":"https://doi.org/10.1145/3468218.3469040","mag":"3168945477"},"language":"en","primary_location":{"id":"doi:10.1145/3468218.3469040","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3468218.3469040","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 3rd ACM Workshop on Wireless Security and Machine Learning","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2106.02818","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5056838565","display_name":"Amir Ahooye Atashin","orcid":"https://orcid.org/0000-0002-6788-4002"},"institutions":[{"id":"https://openalex.org/I114457229","display_name":"University of Geneva","ror":"https://ror.org/01swzsf04","country_code":"CH","type":"education","lineage":["https://openalex.org/I114457229"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Amir Ahooye Atashin","raw_affiliation_strings":["University of Geneva, Geneva, Switzerland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Geneva, Geneva, Switzerland","institution_ids":["https://openalex.org/I114457229"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034055082","display_name":"Behrooz Razeghi","orcid":"https://orcid.org/0000-0001-9568-4166"},"institutions":[{"id":"https://openalex.org/I114457229","display_name":"University of Geneva","ror":"https://ror.org/01swzsf04","country_code":"CH","type":"education","lineage":["https://openalex.org/I114457229"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Behrooz Razeghi","raw_affiliation_strings":["University of Geneva, Geneva, Switzerland and Imperial College London"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Geneva, Geneva, Switzerland and Imperial College London","institution_ids":["https://openalex.org/I114457229"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016883501","display_name":"Den\u0131z G\u00fcnd\u00fcz","orcid":"https://orcid.org/0000-0002-7725-395X"},"institutions":[{"id":"https://openalex.org/I47508984","display_name":"Imperial College London","ror":"https://ror.org/041kmwe10","country_code":"GB","type":"education","lineage":["https://openalex.org/I47508984"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Deniz G\u00fcnd\u00fcz","raw_affiliation_strings":["Imperial College London, London, United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Imperial College London, London, United Kingdom","institution_ids":["https://openalex.org/I47508984"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5091506990","display_name":"Slava Voloshynovskiy","orcid":"https://orcid.org/0000-0003-0416-9674"},"institutions":[{"id":"https://openalex.org/I114457229","display_name":"University of Geneva","ror":"https://ror.org/01swzsf04","country_code":"CH","type":"education","lineage":["https://openalex.org/I114457229"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Slava Voloshynovskiy","raw_affiliation_strings":["University of Geneva, Geneva, Switzerland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Geneva, Geneva, Switzerland","institution_ids":["https://openalex.org/I114457229"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.6997,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.75895527,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"91","last_page":"96"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9991999864578247,"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":0.9991999864578247,"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/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9932000041007996,"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/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.9799000024795532,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/mnist-database","display_name":"MNIST database","score":0.9231218099594116},{"id":"https://openalex.org/keywords/a-priori-and-a-posteriori","display_name":"A priori and a posteriori","score":0.7059121131896973},{"id":"https://openalex.org/keywords/information-leakage","display_name":"Information leakage","score":0.6360950469970703},{"id":"https://openalex.org/keywords/leakage","display_name":"Leakage (economics)","score":0.6087730526924133},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5740357041358948},{"id":"https://openalex.org/keywords/adversary","display_name":"Adversary","score":0.4929640293121338},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4668866693973541},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.46363896131515503},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.45995059609413147},{"id":"https://openalex.org/keywords/correlation","display_name":"Correlation","score":0.4116034507751465},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4047544300556183},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3753730058670044},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.352162629365921},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.32663673162460327},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3162609934806824}],"concepts":[{"id":"https://openalex.org/C190502265","wikidata":"https://www.wikidata.org/wiki/Q17069496","display_name":"MNIST database","level":3,"score":0.9231218099594116},{"id":"https://openalex.org/C75553542","wikidata":"https://www.wikidata.org/wiki/Q178161","display_name":"A priori and a posteriori","level":2,"score":0.7059121131896973},{"id":"https://openalex.org/C2779201187","wikidata":"https://www.wikidata.org/wiki/Q2775060","display_name":"Information leakage","level":2,"score":0.6360950469970703},{"id":"https://openalex.org/C2777042071","wikidata":"https://www.wikidata.org/wiki/Q6509304","display_name":"Leakage (economics)","level":2,"score":0.6087730526924133},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5740357041358948},{"id":"https://openalex.org/C41065033","wikidata":"https://www.wikidata.org/wiki/Q2825412","display_name":"Adversary","level":2,"score":0.4929640293121338},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4668866693973541},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.46363896131515503},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.45995059609413147},{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.4116034507751465},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4047544300556183},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3753730058670044},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.352162629365921},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32663673162460327},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3162609934806824},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C139719470","wikidata":"https://www.wikidata.org/wiki/Q39680","display_name":"Macroeconomics","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1145/3468218.3469040","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3468218.3469040","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 3rd ACM Workshop on Wireless Security and Machine Learning","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2106.02818","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2106.02818","pdf_url":"https://arxiv.org/pdf/2106.02818","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"pmh:oai:iris.unimore.it:11380/1280111","is_oa":true,"landing_page_url":"http://hdl.handle.net/11380/1280111","pdf_url":null,"source":{"id":"https://openalex.org/S4377196326","display_name":"Iris Unimore (University of Modena and Reggio Emilia)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I122346577","host_organization_name":"University of Modena and Reggio Emilia","host_organization_lineage":["https://openalex.org/I122346577"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2106.02818","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2106.02818","pdf_url":"https://arxiv.org/pdf/2106.02818","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.6299999952316284,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W569478347","https://openalex.org/W1522301498","https://openalex.org/W1570963478","https://openalex.org/W1622686296","https://openalex.org/W1686946872","https://openalex.org/W1834627138","https://openalex.org/W1959608418","https://openalex.org/W2045465164","https://openalex.org/W2070945723","https://openalex.org/W2150499662","https://openalex.org/W2155183960","https://openalex.org/W2166944917","https://openalex.org/W2402144811","https://openalex.org/W2587284713","https://openalex.org/W2597663268","https://openalex.org/W2765886485","https://openalex.org/W2788017640","https://openalex.org/W2803832867","https://openalex.org/W2922457090","https://openalex.org/W2953384591","https://openalex.org/W2957228535","https://openalex.org/W2962738009","https://openalex.org/W2963082441","https://openalex.org/W2963090522","https://openalex.org/W2963412800","https://openalex.org/W2964121744","https://openalex.org/W2976116280","https://openalex.org/W2979454998","https://openalex.org/W2980978419","https://openalex.org/W2990835654","https://openalex.org/W2993016614","https://openalex.org/W2998261580","https://openalex.org/W3034918634","https://openalex.org/W3037281943","https://openalex.org/W3099111404","https://openalex.org/W3121783531","https://openalex.org/W3133771317","https://openalex.org/W3215441929","https://openalex.org/W4286800676","https://openalex.org/W4297728530"],"related_works":["https://openalex.org/W2950475743","https://openalex.org/W4386603768","https://openalex.org/W2886711096","https://openalex.org/W4380078352","https://openalex.org/W3046591097","https://openalex.org/W189451467","https://openalex.org/W3123987581","https://openalex.org/W2358406440","https://openalex.org/W2352435628","https://openalex.org/W3175365978"],"abstract_inverted_index":{"We":[0,95],"study":[1,46],"the":[2,24,28,39,47,50,54,66,69,77,106,112],"role":[3],"of":[4,13,42,49,56,68,92,108,114],"information":[5,43,57,59,109],"complexity":[6,60,110],"in":[7,88],"privacy":[8],"leakage":[9],"about":[10],"an":[11,14],"attribute":[12,75,91],"adversary's":[15,93],"interest,":[16],"which":[17],"is":[18],"not":[19],"known":[20,70],"a":[21,85,89],"priori":[22],"to":[23,37,104],"system":[25],"designer.":[26],"Considering":[27],"supervised":[29],"representation":[30],"learning":[31],"setup":[32],"and":[33,72,81,84,101],"using":[34],"neural":[35],"networks":[36],"parameterize":[38],"variational":[40],"bounds":[41],"quantities,":[44],"we":[45],"impact":[48],"following":[51],"factors":[52],"on":[53,99,111],"amount":[55,113],"leakage:":[58],"regularizer":[61],"weight,":[62],"latent":[63],"space":[64],"dimension,":[65],"cardinalities":[67],"utility":[71,80],"unknown":[73],"sensitive":[74,82,90],"sets,":[76],"correlation":[78],"between":[79],"attributes,":[83],"potential":[86],"bias":[87],"interest.":[94],"conduct":[96],"extensive":[97],"experiments":[98],"Colored-MNIST":[100],"CelebA":[102],"datasets":[103],"evaluate":[105],"effect":[107],"intrinsic":[115],"leakage.":[116]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2021-06-22T00:00:00"}
