{"id":"https://openalex.org/W2460680144","doi":"https://doi.org/10.1145/2911451.2917763","title":"Privacy-Preserving IR 2016","display_name":"Privacy-Preserving IR 2016","publication_year":2016,"publication_date":"2016-07-07","ids":{"openalex":"https://openalex.org/W2460680144","doi":"https://doi.org/10.1145/2911451.2917763","mag":"2460680144"},"language":"en","primary_location":{"id":"doi:10.1145/2911451.2917763","is_oa":true,"landing_page_url":"https://doi.org/10.1145/2911451.2917763","pdf_url":"http://dl.acm.org/ft_gateway.cfm?id=2917763&type=pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"http://dl.acm.org/ft_gateway.cfm?id=2917763&type=pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5002485529","display_name":"Grace Hui Yang","orcid":"https://orcid.org/0000-0001-6095-8358"},"institutions":[{"id":"https://openalex.org/I184565670","display_name":"Georgetown University","ror":"https://ror.org/05vzafd60","country_code":"US","type":"education","lineage":["https://openalex.org/I184565670"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Hui Yang","raw_affiliation_strings":["Georgetown University, Washington, DC, USA"],"affiliations":[{"raw_affiliation_string":"Georgetown University, Washington, DC, USA","institution_ids":["https://openalex.org/I184565670"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053747568","display_name":"Ian Soboroff","orcid":"https://orcid.org/0000-0003-2363-3014"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ian Soboroff","raw_affiliation_strings":["NIST, Gaithersburg, MD, USA"],"affiliations":[{"raw_affiliation_string":"NIST, Gaithersburg, MD, USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078394535","display_name":"Li Xiong","orcid":"https://orcid.org/0000-0001-7354-0428"},"institutions":[{"id":"https://openalex.org/I150468666","display_name":"Emory University","ror":"https://ror.org/03czfpz43","country_code":"US","type":"education","lineage":["https://openalex.org/I150468666"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Li Xiong","raw_affiliation_strings":["Emory University, Atlanta, GA, USA"],"affiliations":[{"raw_affiliation_string":"Emory University, Atlanta, GA, USA","institution_ids":["https://openalex.org/I150468666"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037737168","display_name":"Charles L. A. Clarke","orcid":"https://orcid.org/0000-0001-8178-9194"},"institutions":[{"id":"https://openalex.org/I151746483","display_name":"University of Waterloo","ror":"https://ror.org/01aff2v68","country_code":"CA","type":"education","lineage":["https://openalex.org/I151746483"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Charles L.A. Clarke","raw_affiliation_strings":["University of Waterloo, Waterloo, Canada"],"affiliations":[{"raw_affiliation_string":"University of Waterloo, Waterloo, Canada","institution_ids":["https://openalex.org/I151746483"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077305737","display_name":"Simson Garfinkel","orcid":"https://orcid.org/0000-0003-1294-2831"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Simson L. Garfinkel","raw_affiliation_strings":["NIST, Gaithersburg, MD, USA"],"affiliations":[{"raw_affiliation_string":"NIST, Gaithersburg, MD, USA","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5002485529"],"corresponding_institution_ids":["https://openalex.org/I184565670"],"apc_list":null,"apc_paid":null,"fwci":3.56,"has_fulltext":true,"cited_by_count":14,"citation_normalized_percentile":{"value":0.93682097,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1247","last_page":"1248"},"is_retracted":false,"is_paratext":false,"is_xpac":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/T11045","display_name":"Privacy, Security, and Data Protection","score":0.9988999962806702,"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"}},{"id":"https://openalex.org/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9901999831199646,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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/computer-science","display_name":"Computer science","score":0.7808298468589783},{"id":"https://openalex.org/keywords/differential-privacy","display_name":"Differential privacy","score":0.6636652946472168},{"id":"https://openalex.org/keywords/internet-privacy","display_name":"Internet privacy","score":0.6475120186805725},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.5835623741149902},{"id":"https://openalex.org/keywords/information-privacy","display_name":"Information privacy","score":0.5667248964309692},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.46540671586990356},{"id":"https://openalex.org/keywords/personally-identifiable-information","display_name":"Personally identifiable information","score":0.4272235631942749},{"id":"https://openalex.org/keywords/privacy-software","display_name":"Privacy software","score":0.42236945033073425},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3584012985229492},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3229252099990845},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.2632431983947754},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.1109209954738617}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7808298468589783},{"id":"https://openalex.org/C23130292","wikidata":"https://www.wikidata.org/wiki/Q5275358","display_name":"Differential privacy","level":2,"score":0.6636652946472168},{"id":"https://openalex.org/C108827166","wikidata":"https://www.wikidata.org/wiki/Q175975","display_name":"Internet privacy","level":1,"score":0.6475120186805725},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.5835623741149902},{"id":"https://openalex.org/C123201435","wikidata":"https://www.wikidata.org/wiki/Q456632","display_name":"Information privacy","level":2,"score":0.5667248964309692},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.46540671586990356},{"id":"https://openalex.org/C169093310","wikidata":"https://www.wikidata.org/wiki/Q3702971","display_name":"Personally identifiable information","level":2,"score":0.4272235631942749},{"id":"https://openalex.org/C509729295","wikidata":"https://www.wikidata.org/wiki/Q7246032","display_name":"Privacy software","level":3,"score":0.42236945033073425},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3584012985229492},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3229252099990845},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.2632431983947754},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.1109209954738617}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2911451.2917763","is_oa":true,"landing_page_url":"https://doi.org/10.1145/2911451.2917763","pdf_url":"http://dl.acm.org/ft_gateway.cfm?id=2917763&type=pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/2911451.2917763","is_oa":true,"landing_page_url":"https://doi.org/10.1145/2911451.2917763","pdf_url":"http://dl.acm.org/ft_gateway.cfm?id=2917763&type=pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G6190267198","display_name":null,"funder_award_id":"CNS-1223825","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"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2460680144.pdf","grobid_xml":"https://content.openalex.org/works/W2460680144.grobid-xml"},"referenced_works_count":9,"referenced_works":["https://openalex.org/W1982141198","https://openalex.org/W2004695997","https://openalex.org/W2066862335","https://openalex.org/W2075783041","https://openalex.org/W2095663214","https://openalex.org/W2125974619","https://openalex.org/W2264314227","https://openalex.org/W2594622383","https://openalex.org/W4254125364"],"related_works":["https://openalex.org/W4304208041","https://openalex.org/W4315488958","https://openalex.org/W3176515490","https://openalex.org/W3185918024","https://openalex.org/W4225340788","https://openalex.org/W2940702331","https://openalex.org/W2159325866","https://openalex.org/W3003650144","https://openalex.org/W2116847780","https://openalex.org/W4247085996"],"abstract_inverted_index":{"Due":[0],"to":[1,26],"lack":[2],"of":[3,74,79,132],"mature":[4],"techniques":[5],"in":[6,29,65,99,105],"privacy-preserving":[7,54],"information":[8,13,66],"retrieval":[9],"(IR),":[10],"concerns":[11],"about":[12],"privacy":[14,61,93,98,104],"and":[15,40,47,58,62,81,94,101,103,143],"security":[16,63],"have":[17,51],"become":[18],"serious":[19],"obstacles":[20],"that":[21],"prevent":[22],"valuable":[23],"user":[24],"data":[25],"be":[27],"used":[28],"IR":[30,55,80,95],"research":[31,141],"such":[32],"as":[33,121,123],"studies":[34],"on":[35,89,117],"query":[36],"logs,":[37],"social":[38,106],"media,":[39],"medical":[41],"record":[42],"retrieval.":[43,67],"In":[44],"SIGIR":[45,48],"2014":[46],"2015,":[49],"we":[50,70],"run":[52],"the":[53,60,72,76,139],"workshops":[56],"exploring":[57],"understanding":[59],"risks":[64],"This":[68],"year,":[69],"continue":[71],"efforts":[73],"connecting":[75],"two":[77,140],"disciplines":[78],"privacy/security":[82],"by":[83],"organizing":[84],"this":[85,133],"workshop.":[86],"We":[87],"target":[88],"three":[90,119],"themes,":[91,120],"differential":[92],"dataset":[96],"release,":[97],"search":[100],"browsing,":[102],"media.":[107],"The":[108,130],"workshop":[109,134],"includes":[110],"panels":[111],"with":[112],"researchers":[113],"from":[114],"both":[115],"fields":[116],"these":[118],"well":[122],"invite":[124],"industry":[125],"speakers":[126],"for":[127],"real-world":[128],"challenges.":[129],"goals":[131],"include":[135],"(1)":[136],"bringing":[137],"together":[138],"fields,":[142],"(2)":[144],"yielding":[145],"fruitful":[146],"collaborations.":[147]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}