{"id":"https://openalex.org/W3180147866","doi":"https://doi.org/10.1145/3465456.3467595","title":"The Privacy Paradox and Optimal Bias-Variance Trade-offs in Data Acquisition","display_name":"The Privacy Paradox and Optimal Bias-Variance Trade-offs in Data Acquisition","publication_year":2021,"publication_date":"2021-07-18","ids":{"openalex":"https://openalex.org/W3180147866","doi":"https://doi.org/10.1145/3465456.3467595","mag":"3180147866"},"language":"en","primary_location":{"id":"doi:10.1145/3465456.3467595","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3465456.3467595","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3465456.3467595","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 22nd ACM Conference on Economics and Computation","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3465456.3467595","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5022042645","display_name":"Guocheng Liao","orcid":"https://orcid.org/0000-0002-3200-6162"},"institutions":[{"id":"https://openalex.org/I4210116924","display_name":"Chinese University of Hong Kong, Shenzhen","ror":"https://ror.org/02d5ks197","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633","https://openalex.org/I180726961","https://openalex.org/I4210116924"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Guocheng Liao","raw_affiliation_strings":["The Chinese University of Hong Kong & Shenzhen Institute of Artificial Intelligence and Robotics for Society, Hong Kong & Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"The Chinese University of Hong Kong & Shenzhen Institute of Artificial Intelligence and Robotics for Society, Hong Kong & Shenzhen, China","institution_ids":["https://openalex.org/I4210116924"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074556801","display_name":"Yu T. Su","orcid":"https://orcid.org/0000-0002-2026-2994"},"institutions":[{"id":"https://openalex.org/I122411786","display_name":"California Institute of Technology","ror":"https://ror.org/05dxps055","country_code":"US","type":"education","lineage":["https://openalex.org/I122411786"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yu Su","raw_affiliation_strings":["California Institute of Technology, Pasadena, CA, USA"],"affiliations":[{"raw_affiliation_string":"California Institute of Technology, Pasadena, CA, USA","institution_ids":["https://openalex.org/I122411786"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008250785","display_name":"Juba Ziani","orcid":"https://orcid.org/0000-0002-3324-4349"},"institutions":[{"id":"https://openalex.org/I79576946","display_name":"University of Pennsylvania","ror":"https://ror.org/00b30xv10","country_code":"US","type":"education","lineage":["https://openalex.org/I79576946"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Juba Ziani","raw_affiliation_strings":["University of Pennsylvania, Philadelphia, PA, USA"],"affiliations":[{"raw_affiliation_string":"University of Pennsylvania, Philadelphia, PA, USA","institution_ids":["https://openalex.org/I79576946"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062565732","display_name":"Adam Wierman","orcid":"https://orcid.org/0000-0002-5923-0199"},"institutions":[{"id":"https://openalex.org/I122411786","display_name":"California Institute of Technology","ror":"https://ror.org/05dxps055","country_code":"US","type":"education","lineage":["https://openalex.org/I122411786"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Adam Wierman","raw_affiliation_strings":["California Institute of Technology, Pasadena, CA, USA"],"affiliations":[{"raw_affiliation_string":"California Institute of Technology, Pasadena, CA, USA","institution_ids":["https://openalex.org/I122411786"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062346297","display_name":"Jianwei Huang","orcid":"https://orcid.org/0000-0001-6631-1096"},"institutions":[{"id":"https://openalex.org/I4210116924","display_name":"Chinese University of Hong Kong, Shenzhen","ror":"https://ror.org/02d5ks197","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633","https://openalex.org/I180726961","https://openalex.org/I4210116924"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianwei Huang","raw_affiliation_strings":["The Chinese University of Hong Kong & Shenzhen Institute of Artificial Intelligence and Robotics for Society, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"The Chinese University of Hong Kong & Shenzhen Institute of Artificial Intelligence and Robotics for Society, Shenzhen, China","institution_ids":["https://openalex.org/I4210116924"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5022042645"],"corresponding_institution_ids":["https://openalex.org/I4210116924"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.08889162,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"689","last_page":"689"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9940000176429749,"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":0.9940000176429749,"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/T11182","display_name":"Auction Theory and Applications","score":0.9871000051498413,"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"}},{"id":"https://openalex.org/T11045","display_name":"Privacy, Security, and Data Protection","score":0.9648000001907349,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/incentive","display_name":"Incentive","score":0.7293703556060791},{"id":"https://openalex.org/keywords/variance","display_name":"Variance (accounting)","score":0.7071517705917358},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.684201180934906},{"id":"https://openalex.org/keywords/information-privacy","display_name":"Information privacy","score":0.6142235994338989},{"id":"https://openalex.org/keywords/verifiable-secret-sharing","display_name":"Verifiable secret sharing","score":0.5557401776313782},{"id":"https://openalex.org/keywords/monotonic-function","display_name":"Monotonic function","score":0.5542035102844238},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.49049896001815796},{"id":"https://openalex.org/keywords/mechanism-design","display_name":"Mechanism design","score":0.44216763973236084},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.4274604320526123},{"id":"https://openalex.org/keywords/information-leakage","display_name":"Information leakage","score":0.4265599846839905},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.3408587872982025},{"id":"https://openalex.org/keywords/microeconomics","display_name":"Microeconomics","score":0.28496140241622925},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.20057570934295654},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11874762177467346}],"concepts":[{"id":"https://openalex.org/C29122968","wikidata":"https://www.wikidata.org/wiki/Q1414816","display_name":"Incentive","level":2,"score":0.7293703556060791},{"id":"https://openalex.org/C196083921","wikidata":"https://www.wikidata.org/wiki/Q7915758","display_name":"Variance (accounting)","level":2,"score":0.7071517705917358},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.684201180934906},{"id":"https://openalex.org/C123201435","wikidata":"https://www.wikidata.org/wiki/Q456632","display_name":"Information privacy","level":2,"score":0.6142235994338989},{"id":"https://openalex.org/C85847156","wikidata":"https://www.wikidata.org/wiki/Q59015987","display_name":"Verifiable secret sharing","level":3,"score":0.5557401776313782},{"id":"https://openalex.org/C72169020","wikidata":"https://www.wikidata.org/wiki/Q194404","display_name":"Monotonic function","level":2,"score":0.5542035102844238},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.49049896001815796},{"id":"https://openalex.org/C153517567","wikidata":"https://www.wikidata.org/wiki/Q26090","display_name":"Mechanism design","level":2,"score":0.44216763973236084},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.4274604320526123},{"id":"https://openalex.org/C2779201187","wikidata":"https://www.wikidata.org/wiki/Q2775060","display_name":"Information leakage","level":2,"score":0.4265599846839905},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.3408587872982025},{"id":"https://openalex.org/C175444787","wikidata":"https://www.wikidata.org/wiki/Q39072","display_name":"Microeconomics","level":1,"score":0.28496140241622925},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.20057570934295654},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11874762177467346},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C121955636","wikidata":"https://www.wikidata.org/wiki/Q4116214","display_name":"Accounting","level":1,"score":0.0},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3465456.3467595","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3465456.3467595","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3465456.3467595","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 22nd ACM Conference on Economics and Computation","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3465456.3467595","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3465456.3467595","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3465456.3467595","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 22nd ACM Conference on Economics and Computation","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4986248119","display_name":null,"funder_award_id":"AitF-1637598, CNS-1518941, AF-1763307","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320322942","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3180147866.pdf","grobid_xml":"https://content.openalex.org/works/W3180147866.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2355730523","https://openalex.org/W152021879","https://openalex.org/W2072918937","https://openalex.org/W2365629437","https://openalex.org/W2023935927","https://openalex.org/W2348330439","https://openalex.org/W2350372928","https://openalex.org/W2377292126","https://openalex.org/W2139109546","https://openalex.org/W2402708835"],"abstract_inverted_index":{"While":[0],"users":[1],"claim":[2],"to":[3,12,111],"be":[4],"concerned":[5],"about":[6],"privacy,":[7],"often":[8],"they":[9],"do":[10],"little":[11],"protect":[13],"their":[14,17],"privacy":[15,40,45],"in":[16,69,84,136],"online":[18,70],"actions.":[19],"One":[20],"prominent":[21],"explanation":[22],"for":[23,81],"this":[24,73],"\"privacy":[25],"paradox''":[26],"is":[27,36,42,52,118],"that":[28,41,98],"when":[29],"an":[30,94],"individual":[31],"shares":[32],"her":[33,39],"data,":[34],"it":[35],"not":[37],"just":[38],"compromised;":[43],"the":[44,65,77,100,108,116,120,130,133,146],"of":[46,60,67,79,107,132,145],"other":[47],"individuals":[48,68],"with":[49,86],"correlated":[50],"data":[51,61,82],"also":[53],"compromised.":[54],"This":[55],"information":[56,87],"leakage":[57,88],"encourages":[58],"oversharing":[59],"and":[62,89,105,125,139,142],"significantly":[63],"impacts":[64],"incentives":[66],"platforms.":[71],"In":[72],"paper,":[74],"we":[75,128],"study":[76,140],"design":[78,93],"mechanisms":[80],"acquisition":[83],"settings":[85],"verifiable":[90],"data.":[91,126],"We":[92],"incentive":[95],"compatible":[96],"mechanism":[97,135],"optimizes":[99],"worst-case":[101,117],"trade-off":[102],"between":[103,123],"bias":[104],"variance":[106],"estimation":[109],"subject":[110],"a":[112],"budget":[113],"constraint,":[114],"where":[115],"over":[119],"unknown":[121],"correlation":[122],"costs":[124],"Additionally,":[127],"characterize":[129],"structure":[131],"optimal":[134],"closed":[137],"form":[138],"monotonicity":[141],"non-monotonicity":[143],"properties":[144],"marketplace.":[147]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}