乐胖代购免代理版

{"id":"https://openalex.org/W2963359984","doi":"https://doi.org/10.1109/focs.2016.59","title":"Max-Information, Differential Privacy, and Post-selection Hypothesis Testing","display_name":"Max-Information, Differential Privacy, and Post-selection Hypothesis Testing","publication_year":2016,"publication_date":"2016-10-01","ids":{"openalex":"https://openalex.org/W2963359984","doi":"https://doi.org/10.1109/focs.2016.59","mag":"2963359984"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/focs.2016.59","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"proceedings-article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://arxiv.org/pdf/1604.03924","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5083717910","display_name":"Ryan Rogers","orcid":"https://orcid.org/0000-0002-0545-9350"},"institutions":[{"id":"https://openalex.org/I79576946","display_name":"University of Pennsylvania","ror":"https://ror.org/00b30xv10","country_code":"US","type":"funder","lineage":["https://openalex.org/I79576946"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ryan Rogers","raw_affiliation_strings":["Applied Math and Computational Sciences, University of Pennsylvania, Philadelphia, PA, USA"],"affiliations":[{"raw_affiliation_string":"Applied Math and Computational Sciences, University of Pennsylvania, Philadelphia, PA, USA","institution_ids":["https://openalex.org/I79576946"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057693522","display_name":"Aaron Roth","orcid":"https://orcid.org/0000-0002-0586-0515"},"institutions":[{"id":"https://openalex.org/I79576946","display_name":"University of Pennsylvania","ror":"https://ror.org/00b30xv10","country_code":"US","type":"funder","lineage":["https://openalex.org/I79576946"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Aaron Roth","raw_affiliation_strings":["Computer and Information Science, University of Pennsylvania, Philadelphia, PA, USA"],"affiliations":[{"raw_affiliation_string":"Computer and Information Science, University of Pennsylvania, Philadelphia, PA, USA","institution_ids":["https://openalex.org/I79576946"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079131956","display_name":"Adam Smith","orcid":"https://orcid.org/0000-0002-6744-4592"},"institutions":[{"id":"https://openalex.org/I130769515","display_name":"Pennsylvania State University","ror":"https://ror.org/04p491231","country_code":"US","type":"funder","lineage":["https://openalex.org/I130769515"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Adam Smith","raw_affiliation_strings":["Computer Science and Engineering Department, Pennsylvania State University, University Park, PA, USA"],"affiliations":[{"raw_affiliation_string":"Computer Science and Engineering Department, Pennsylvania State University, University Park, PA, USA","institution_ids":["https://openalex.org/I130769515"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077162569","display_name":"Om Thakkar","orcid":null},"institutions":[{"id":"https://openalex.org/I130769515","display_name":"Pennsylvania State University","ror":"https://ror.org/04p491231","country_code":"US","type":"funder","lineage":["https://openalex.org/I130769515"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Om Thakkar","raw_affiliation_strings":["Computer Science and Engineering Department, Pennsylvania State University, University Park, PA, USA"],"affiliations":[{"raw_affiliation_string":"Computer Science and Engineering Department, Pennsylvania State University, University Park, PA, USA","institution_ids":["https://openalex.org/I130769515"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.857,"has_fulltext":true,"fulltext_origin":"ngrams","cited_by_count":38,"citation_normalized_percentile":{"value":0.946002,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"487","last_page":"494"},"is_retracted":false,"is_paratext":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":0.9922,"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/T11612","display_name":"Stochastic Gradient Optimization Techniques","score":0.9866,"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/differential-privacy","display_name":"Differential Privacy","score":0.9676036},{"id":"https://openalex.org/keywords/value","display_name":"Value (mathematics)","score":0.4223115}],"concepts":[{"id":"https://openalex.org/C23130292","wikidata":"https://www.wikidata.org/wiki/Q5275358","display_name":"Differential privacy","level":2,"score":0.9676036},{"id":"https://openalex.org/C34388435","wikidata":"https://www.wikidata.org/wiki/Q2267362","display_name":"Bounded function","level":2,"score":0.65651226},{"id":"https://openalex.org/C13355873","wikidata":"https://www.wikidata.org/wiki/Q2920850","display_name":"Connection (principal bundle)","level":2,"score":0.6424386},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.6214112},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5440766},{"id":"https://openalex.org/C77553402","wikidata":"https://www.wikidata.org/wiki/Q13222579","display_name":"Upper and lower bounds","level":2,"score":0.51340544},{"id":"https://openalex.org/C90673727","wikidata":"https://www.wikidata.org/wiki/Q901718","display_name":"Product (mathematics)","level":2,"score":0.4714516},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4712558},{"id":"https://openalex.org/C93226319","wikidata":"https://www.wikidata.org/wiki/Q193137","display_name":"Differential (mechanical device)","level":2,"score":0.4626966},{"id":"https://openalex.org/C110121322","wikidata":"https://www.wikidata.org/wiki/Q865811","display_name":"Distribution (mathematics)","level":2,"score":0.45610717},{"id":"https://openalex.org/C2776291640","wikidata":"https://www.wikidata.org/wiki/Q2912517","display_name":"Value (mathematics)","level":2,"score":0.4223115},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.40945715},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.3693757},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.32996416},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.08547738},{"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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/focs.2016.59","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},{"is_oa":true,"landing_page_url":"http://arxiv.org/abs/1604.03924","pdf_url":"http://arxiv.org/pdf/1604.03924","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_indexed_in_scopus":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},{"is_oa":true,"landing_page_url":"https://arxiv.org/abs/1604.03924","pdf_url":"https://arxiv.org/pdf/1604.03924","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_indexed_in_scopus":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://arxiv.org/abs/1604.03924","pdf_url":"http://arxiv.org/pdf/1604.03924","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_indexed_in_scopus":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},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, justice, and strong institutions","score":0.46}],"grants":[],"datasets":[],"versions":[],"referenced_works_count":31,"referenced_works":["https://openalex.org/W1557833142","https://openalex.org/W1663583528","https://openalex.org/W1873763122","https://openalex.org/W1982723861","https://openalex.org/W2009462809","https://openalex.org/W2029905190","https://openalex.org/W2076000582","https://openalex.org/W2077641783","https://openalex.org/W2099932489","https://openalex.org/W2124940696","https://openalex.org/W2127555295","https://openalex.org/W2129104108","https://openalex.org/W2161498332","https://openalex.org/W2167372639","https://openalex.org/W2193702500","https://openalex.org/W2225981128","https://openalex.org/W2250155526","https://openalex.org/W2258658829","https://openalex.org/W2266261423","https://openalex.org/W2283857036","https://openalex.org/W2293040502","https://openalex.org/W2322006099","https://openalex.org/W2397696965","https://openalex.org/W2598809989","https://openalex.org/W2962677710","https://openalex.org/W2962727083","https://openalex.org/W2962727778","https://openalex.org/W2964326026","https://openalex.org/W3099470970","https://openalex.org/W3102311896","https://openalex.org/W3105437875"],"related_works":["https://openalex.org/W798507144","https://openalex.org/W3038283795","https://openalex.org/W3035382016","https://openalex.org/W2964481303","https://openalex.org/W2734500670","https://openalex.org/W2604501336","https://openalex.org/W2571704763","https://openalex.org/W2558166297","https://openalex.org/W2315671126","https://openalex.org/W1751413323"],"abstract_inverted_index":{"In":[0],"this":[1,33],"paper,":[2],"we":[3],"initiate":[4],"a":[5,76,109,124,141,151,171],"principled":[6],"study":[7],"of":[8,13,39,51,106,117,134],"how":[9],"the":[10,37,49,82,114,130,164,180,196],"generalization":[11,115],"properties":[12,116,133],"approximate":[14,43,67],"differential":[15,86],"privacy":[16,64,87,184,200],"can":[17,147],"be":[18],"used":[19],"to":[20,47,95,168],"perform":[21],"adaptive":[22,118],"hypothesis":[23],"testing,":[24],"while":[25],"giving":[26],"statistically":[27],"valid":[28],"p-value":[29],"corrections.":[30],"We":[31,121],"do":[32],"by":[34,57],"observing":[35],"that":[36,59,61,128,179],"guarantees":[38],"algorithms":[40,60,146,155],"with":[41,153],"bounded":[42,66],"max-information":[44,107,157,173,186],"are":[45,73],"sufficient":[46],"correct":[48],"p-values":[50],"adaptively":[52],"chosen":[53],"hypotheses,":[54],"and":[55,88,185,201],"then":[56],"proving":[58,127],"satisfy":[62,170],"(\u2208,\u03b4)-differential":[63,183],"have":[65],"max":[68],"information":[69],"when":[70,136],"their":[71],"inputs":[72,190],"drawn":[74,139,191],"from":[75,140,192],"product":[77,142,193],"distribution.":[78],"This":[79],"substantially":[80],"extends":[81,103],"known":[83,94],"connection":[84,181,197],"between":[85,182,198],"max-information,":[89],"which":[90],"previously":[91],"was":[92],"only":[93,188],"hold":[96],"for":[97,189],"(pure)":[98],"(\u2208,0)-differential":[99,199],"privacy.":[100],"It":[101],"also":[102,122],"our":[104],"understanding":[105],"as":[108],"partially":[110],"unifying":[111],"measure":[112],"controlling":[113],"data":[119,137],"analyses.":[120],"show":[123],"lower":[125],"bound,":[126],"(despite":[129],"strong":[131],"composition":[132,152,165],"max-information),":[135],"is":[138,166],"distribution,":[143],"(\u2208,\u03b4)-differentially":[144],"private":[145],"come":[148],"first":[149],"in":[150,176],"other":[154],"satisfying":[156],"bounds,":[158],"but":[159],"not":[160],"necessarily":[161],"second":[162],"if":[163],"required":[167],"itself":[169],"nontrivial":[172],"bound.":[174],"This,":[175],"particular,":[177],"implies":[178],"holds":[187],"distributions,":[194],"unlike":[195],"max-information.":[202]},"abstract_inverted_index_v3":null,"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2963359984","counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":10},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":1}],"updated_date":"2025-03-24T03:44:14.043907","created_date":"2019-07-30"}