乐胖代购免代理版

{"id":"https://openalex.org/W2901092256","doi":"https://doi.org/10.1109/tifs.2018.2882343","title":"Privacy Against a Hypothesis Testing Adversary","display_name":"Privacy Against a Hypothesis Testing Adversary","publication_year":2018,"publication_date":"2018-11-20","ids":{"openalex":"https://openalex.org/W2901092256","doi":"https://doi.org/10.1109/tifs.2018.2882343","mag":"2901092256"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/tifs.2018.2882343","pdf_url":null,"source":{"id":"https://openalex.org/S61310614","display_name":"IEEE Transactions on Information Forensics and Security","issn_l":"1556-6013","issn":["1556-6013","1556-6021"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"journal-article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://kth.diva-portal.org/smash/get/diva2:1301178/FULLTEXT01","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5005422540","display_name":"Zuxing Li","orcid":"https://orcid.org/0000-0002-2276-2079"},"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":"Zuxing Li","raw_affiliation_strings":["School of Electrical Engineering and Computer Science, KTH Royal Institute of Technology, Stockholm, Sweden"],"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering and Computer Science, KTH Royal Institute of Technology, Stockholm, Sweden","institution_ids":["https://openalex.org/I86987016"]}]},{"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":["School of Electrical Engineering and Computer Science, KTH Royal Institute of Technology, Stockholm, Sweden"],"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering and Computer Science, KTH Royal Institute of Technology, Stockholm, Sweden","institution_ids":["https://openalex.org/I86987016"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016883501","display_name":"Deniz 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 Gunduz","raw_affiliation_strings":["Department of Electrical and Electronic Engineering, Imperial College London, London, U.K."],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronic Engineering, Imperial College London, London, U.K.","institution_ids":["https://openalex.org/I47508984"]}]}],"institution_assertions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.706,"has_fulltext":true,"fulltext_origin":"pdf","cited_by_count":34,"citation_normalized_percentile":{"value":0.99997,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":95},"biblio":{"volume":"14","issue":"6","first_page":"1567","last_page":"1581"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9995,"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":0.9995,"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":0.9992,"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"}},{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9988,"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":[],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.675699},{"id":"https://openalex.org/C149441793","wikidata":"https://www.wikidata.org/wiki/Q200726","display_name":"Probability distribution","level":2,"score":0.49866962},{"id":"https://openalex.org/C87007009","wikidata":"https://www.wikidata.org/wiki/Q210832","display_name":"Statistical hypothesis testing","level":2,"score":0.4812705},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.4781726},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.42612568},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.38186207},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.34292364},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.33259445},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.25820267},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.23898843},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.22716114},{"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":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/tifs.2018.2882343","pdf_url":null,"source":{"id":"https://openalex.org/S61310614","display_name":"IEEE Transactions on Information Forensics and Security","issn_l":"1556-6013","issn":["1556-6013","1556-6021"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},{"is_oa":true,"landing_page_url":"http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-247798","pdf_url":"https://kth.diva-portal.org/smash/get/diva2:1301178/FULLTEXT01","source":{"id":"https://openalex.org/S4306401560","display_name":"KTH Publication Database DiVA (KTH Royal Institute of Technology)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false},{"is_oa":true,"landing_page_url":"https://arxiv.org/abs/1807.01916","pdf_url":"https://arxiv.org/pdf/1807.01916","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":["Cornell University"],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false}],"best_oa_location":{"is_oa":true,"landing_page_url":"http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-247798","pdf_url":"https://kth.diva-portal.org/smash/get/diva2:1301178/FULLTEXT01","source":{"id":"https://openalex.org/S4306401560","display_name":"KTH Publication Database DiVA (KTH Royal Institute of Technology)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false},"sustainable_development_goals":[{"score":0.89,"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7"}],"grants":[{"funder":"https://openalex.org/F4320322581","funder_display_name":"Vetenskapsr\u00e5det","award_id":"2015-06815"},{"funder":"https://openalex.org/F4320322581","funder_display_name":"Vetenskapsr\u00e5det","award_id":"E0628201"},{"funder":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council","award_id":"EP/N021738/1"}],"datasets":[],"versions":[],"referenced_works_count":46,"referenced_works":["https://openalex.org/W1176050405","https://openalex.org/W1543103956","https://openalex.org/W1549664537","https://openalex.org/W1578810938","https://openalex.org/W1648660600","https://openalex.org/W1945616565","https://openalex.org/W1952161176","https://openalex.org/W1972771043","https://openalex.org/W2005991198","https://openalex.org/W2006681603","https://openalex.org/W2020833189","https://openalex.org/W2026653933","https://openalex.org/W2043769961","https://openalex.org/W2095577883","https://openalex.org/W2147324825","https://openalex.org/W2156740744","https://openalex.org/W2159024459","https://openalex.org/W2160104570","https://openalex.org/W2168871528","https://openalex.org/W2293889896","https://openalex.org/W2343097824","https://openalex.org/W2478708596","https://openalex.org/W2484420926","https://openalex.org/W2538653192","https://openalex.org/W2564029303","https://openalex.org/W2588878038","https://openalex.org/W2736899637","https://openalex.org/W2743382120","https://openalex.org/W2746431867","https://openalex.org/W2751014288","https://openalex.org/W2783525631","https://openalex.org/W2887718004","https://openalex.org/W2896609429","https://openalex.org/W2911978475","https://openalex.org/W2922457090","https://openalex.org/W2962743676","https://openalex.org/W2962838582","https://openalex.org/W2963389226","https://openalex.org/W2963446403","https://openalex.org/W2963535017","https://openalex.org/W2963744840","https://openalex.org/W3103874927","https://openalex.org/W4250589301","https://openalex.org/W4250791570","https://openalex.org/W4251984466","https://openalex.org/W4302366875"],"related_works":["https://openalex.org/W986251431","https://openalex.org/W563727013","https://openalex.org/W2963420405","https://openalex.org/W2884465220","https://openalex.org/W2807251790","https://openalex.org/W2799406489","https://openalex.org/W2502468346","https://openalex.org/W2187485469","https://openalex.org/W2162155786","https://openalex.org/W2049792449"],"abstract_inverted_index":{"Privacy":[0,151],"against":[1],"an":[2,65,70,101,113],"adversary":[3],"(AD)":[4],"that":[5],"tries":[6],"to":[7,22,58,80,90,106,137,182,191,213],"detect":[8],"the":[9,27,32,38,43,50,60,77,82,94,108,121,130,157,162,187,198,218],"underlying":[10],"privacy-sensitive":[11],"data":[12,18,62,180],"distribution":[13],"is":[14,20,35,56,79,202],"studied.":[15],"The":[16,74,117,169],"original":[17,61],"sequence":[19,63],"assumed":[21],"come":[23],"from":[24,217],"one":[25],"of":[26,40,42,76,87,98,120,127,153],"two":[28],"known":[29],"distributions,":[30],"and":[31,129,145,161],"privacy":[33,195],"leakage":[34],"measured":[36],"by":[37,49,140,204],"probability":[39,86,97,111,126,134],"error":[41,88,99,110,128,133],"binary":[44],"hypothesis":[45],"test":[46],"carried":[47],"out":[48],"AD.":[51],"A":[52],"management":[53,155],"unit":[54],"(MU)":[55],"allowed":[57],"manipulate":[59],"in":[64,211],"online":[66],"fashion":[67],"while":[68],"satisfying":[69],"average":[71],"distortion":[72],"constraint.":[73],"goal":[75],"MU":[78],"maximize":[81,107],"minimal":[83,109,123,132,179],"type":[84,95,124],"II":[85,125],"subject":[89],"a":[91,141,146,192,207],"constraint":[92],"on":[93],"I":[96],"assuming":[100,112],"adversarial":[102,114,175],"Neyman-Pearson":[103],"test,":[104],"or":[105],"Bayesian":[115],"test.":[116],"asymptotic":[118],"exponents":[119],"maximum":[122,131],"are":[135,167,189],"shown":[136],"be":[138],"characterized":[139],"Kullback-Leibler":[142],"divergence":[143],"rate":[144],"Chernoff":[147],"information":[148],"rate,":[149],"respectively.":[150],"performances":[152],"particular":[154],"policies,":[156],"memoryless":[158],"hypothesis-aware":[159],"policy":[160,164],"hypothesis-unaware":[163],"with":[165,178],"memory,":[166],"compared.":[168],"proposed":[170],"formulation":[171],"can":[172],"also":[173],"model":[174],"example":[176],"generation":[177],"manipulation":[181],"fool":[183],"classifiers.":[184],"At":[185],"last,":[186],"results":[188],"applied":[190],"smart":[193],"meter":[194],"problem,":[196],"where":[197],"user's":[199,215],"energy":[200,209,219],"consumption":[201],"manipulated":[203],"adaptively":[205],"using":[206],"renewable":[208],"source":[210],"order":[212],"hide":[214],"activity":[216],"provider.":[220]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2901092256","counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":10},{"year":2020,"cited_by_count":9},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":2}],"updated_date":"2025-01-14T04:59:19.477665","created_date":"2018-11-29"}