{"id":"https://openalex.org/W4387421261","doi":"https://doi.org/10.1145/3594739.3610693","title":"Sandbox AI: We Don't Trust Each Other but Want to Create New Value Efficiently Through Collaboration Using Sensitive Data","display_name":"Sandbox AI: We Don't Trust Each Other but Want to Create New Value Efficiently Through Collaboration Using Sensitive Data","publication_year":2023,"publication_date":"2023-10-07","ids":{"openalex":"https://openalex.org/W4387421261","doi":"https://doi.org/10.1145/3594739.3610693"},"language":"en","primary_location":{"id":"doi:10.1145/3594739.3610693","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3594739.3610693","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Adjunct Proceedings of the 2023 ACM International Joint Conference on Pervasive and Ubiquitous Computing &amp; the 2023 ACM International Symposium on Wearable Computing","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5028050904","display_name":"Osamu Saisho","orcid":"https://orcid.org/0000-0002-8077-3251"},"institutions":[{"id":"https://openalex.org/I2251713219","display_name":"NTT (Japan)","ror":"https://ror.org/00berct97","country_code":"JP","type":"company","lineage":["https://openalex.org/I2251713219"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Osamu Saisho","raw_affiliation_strings":["NTT, Japan"],"affiliations":[{"raw_affiliation_string":"NTT, Japan","institution_ids":["https://openalex.org/I2251713219"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065023796","display_name":"Keiichiro Kashiwagi","orcid":"https://orcid.org/0000-0003-2122-3353"},"institutions":[{"id":"https://openalex.org/I2251713219","display_name":"NTT (Japan)","ror":"https://ror.org/00berct97","country_code":"JP","type":"company","lineage":["https://openalex.org/I2251713219"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Keiichiro Kashiwagi","raw_affiliation_strings":["NTT, Japan"],"affiliations":[{"raw_affiliation_string":"NTT, Japan","institution_ids":["https://openalex.org/I2251713219"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083627580","display_name":"Sakiko Kawai","orcid":"https://orcid.org/0009-0007-4858-4497"},"institutions":[{"id":"https://openalex.org/I2251713219","display_name":"NTT (Japan)","ror":"https://ror.org/00berct97","country_code":"JP","type":"company","lineage":["https://openalex.org/I2251713219"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Sakiko Kawai","raw_affiliation_strings":["NTT, Japan"],"affiliations":[{"raw_affiliation_string":"NTT, Japan","institution_ids":["https://openalex.org/I2251713219"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002308870","display_name":"Kazuki Iwahana","orcid":"https://orcid.org/0000-0003-0749-3613"},"institutions":[{"id":"https://openalex.org/I2251713219","display_name":"NTT (Japan)","ror":"https://ror.org/00berct97","country_code":"JP","type":"company","lineage":["https://openalex.org/I2251713219"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kazuki Iwahana","raw_affiliation_strings":["NTT, Japan"],"affiliations":[{"raw_affiliation_string":"NTT, Japan","institution_ids":["https://openalex.org/I2251713219"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102931874","display_name":"Koki Mitani","orcid":"https://orcid.org/0000-0003-1888-9613"},"institutions":[{"id":"https://openalex.org/I2251713219","display_name":"NTT (Japan)","ror":"https://ror.org/00berct97","country_code":"JP","type":"company","lineage":["https://openalex.org/I2251713219"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Koki Mitani","raw_affiliation_strings":["NTT, Japan"],"affiliations":[{"raw_affiliation_string":"NTT, Japan","institution_ids":["https://openalex.org/I2251713219"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5028050904"],"corresponding_institution_ids":["https://openalex.org/I2251713219"],"apc_list":null,"apc_paid":null,"fwci":0.3491,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.65930315,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"68","last_page":"72"},"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/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9965000152587891,"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"}},{"id":"https://openalex.org/T10237","display_name":"Cryptography and Data Security","score":0.9945999979972839,"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/sandbox","display_name":"Sandbox (software development)","score":0.9543132781982422},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8125283718109131},{"id":"https://openalex.org/keywords/synthetic-data","display_name":"Synthetic data","score":0.6522266864776611},{"id":"https://openalex.org/keywords/workflow","display_name":"Workflow","score":0.6354866623878479},{"id":"https://openalex.org/keywords/confidentiality","display_name":"Confidentiality","score":0.5723981261253357},{"id":"https://openalex.org/keywords/information-privacy","display_name":"Information privacy","score":0.4601467549800873},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4421304762363434},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.4362427592277527},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.36044377088546753},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.2910518944263458},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.15812379121780396}],"concepts":[{"id":"https://openalex.org/C167981075","wikidata":"https://www.wikidata.org/wiki/Q2667186","display_name":"Sandbox (software development)","level":2,"score":0.9543132781982422},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8125283718109131},{"id":"https://openalex.org/C160920958","wikidata":"https://www.wikidata.org/wiki/Q7662746","display_name":"Synthetic data","level":2,"score":0.6522266864776611},{"id":"https://openalex.org/C177212765","wikidata":"https://www.wikidata.org/wiki/Q627335","display_name":"Workflow","level":2,"score":0.6354866623878479},{"id":"https://openalex.org/C71745522","wikidata":"https://www.wikidata.org/wiki/Q2476929","display_name":"Confidentiality","level":2,"score":0.5723981261253357},{"id":"https://openalex.org/C123201435","wikidata":"https://www.wikidata.org/wiki/Q456632","display_name":"Information privacy","level":2,"score":0.4601467549800873},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4421304762363434},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.4362427592277527},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.36044377088546753},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.2910518944263458},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.15812379121780396},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","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/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3594739.3610693","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3594739.3610693","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Adjunct Proceedings of the 2023 ACM International Joint Conference on Pervasive and Ubiquitous Computing &amp; the 2023 ACM International Symposium on Wearable Computing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.6000000238418579,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W2159024459","https://openalex.org/W2294382750","https://openalex.org/W2343514605","https://openalex.org/W2541743403","https://openalex.org/W2796385185","https://openalex.org/W2798149936","https://openalex.org/W2911978475","https://openalex.org/W2915252171","https://openalex.org/W3038041229","https://openalex.org/W3071470454","https://openalex.org/W3166254754","https://openalex.org/W3190683899","https://openalex.org/W4214487284","https://openalex.org/W4234726042","https://openalex.org/W4280616277","https://openalex.org/W4281920725","https://openalex.org/W4288296172","https://openalex.org/W4290945397","https://openalex.org/W4365809852","https://openalex.org/W4382239433","https://openalex.org/W4382318631","https://openalex.org/W6765451912"],"related_works":["https://openalex.org/W4387497383","https://openalex.org/W3183948672","https://openalex.org/W3173606202","https://openalex.org/W3110381201","https://openalex.org/W2948807893","https://openalex.org/W2935909890","https://openalex.org/W2778153218","https://openalex.org/W2758277628","https://openalex.org/W1531601525","https://openalex.org/W2033352828"],"abstract_inverted_index":{"This":[0,84],"research":[1,56],"deals":[2],"with":[3,197],"how":[4],"to":[5,64,108],"build":[6,93],"reliable":[7],"AI":[8,20,44,74,95,112,128],"models":[9,96,107],"using":[10,194],"shared":[11,71,104],"sensitive":[12,41],"data.":[13,177],"Confidential":[14],"computing":[15,25,53,78,124],"is":[16,47,186],"gaining":[17],"attention":[18],"in":[19,51,130],"services":[21],"for":[22,40,151,167],"a":[23,60,122,131],"ubiquitous":[24,52],"field.":[26],"It":[27],"makes":[28],"legal":[29],"and":[30,37,43,73,87,118,134,169],"social":[31],"regulations":[32],"strict,":[33],"including":[34],"protecting":[35],"privacy":[36,198],"ensuring":[38],"security":[39],"data":[42,72,105,116,137,147,159,166,196],"models.":[45,75],"As":[46],"also":[48,58],"the":[49,81,103,139,157,163,171,174,182],"case":[50],"research.":[54],"The":[55],"phase":[57],"requires":[59],"manual":[61,99],"trial-and-error":[62],"process":[63],"create":[65],"value":[66],"through":[67,97],"new":[68],"combinations":[69],"of":[70,141,191],"Conventional":[76],"confidential":[77,123],"cannot":[79],"realize":[80],"human":[82],"workflow.":[83],"paper":[85],"proposes":[86],"verifies":[88],"\u201cSandbox":[89],"AI\u201d":[90],"that":[91,148,181,190],"can":[92],"precise":[94],"efficient":[98,152],"processes":[100],"without":[101],"revealing":[102],"or":[106],"one":[109],"another.":[110],"Sandbox":[111,127],"utilizes":[113],"privacy-preserving":[114],"synthetic":[115,136,146,165,176],"generation":[117],"active":[119],"learning":[120,193],"on":[121,138,173],"architecture.":[125],"Specifically,":[126],"works":[129],"sandbox":[132],"container":[133],"generates":[135],"basis":[140],"real":[142,158,195],"data,":[143],"interactively":[144],"extracts":[145],"are":[149],"useful":[150],"model":[153,172,184],"training":[154],"while":[155],"considering":[156],"distribution,":[160],"discloses":[161],"only":[162],"extracted":[164],"annotation,":[168],"re-trains":[170],"labeled":[175],"Experimental":[178],"results":[179],"show":[180],"achieved":[183],"accuracy":[185],"as":[187,189],"good":[188],"conventional":[192],"violations.":[199]},"counts_by_year":[{"year":2024,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
