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Sandbox AI: We Don't Trust Each Other but Want to Create Ne..:

, In: Adjunct Proceedings of the 2023 ACM International Joint Conference on Pervasive and Ubiquitous Computing & the 2023 ACM International Symposium on Wearable Computing,

Saisho, Osamu ; Kashiwagi, Keiichiro ; Kawai, Sakiko.. - p. 68-72 , 2023

Link: https://dl.acm.org/doi/10.1145/3594739.3610693

RT 
T1 <cTitle>Adjunct Proceedings of the 2023 ACM International Joint Conference on Pervasive and Ubiquitous Computing & the 2023 ACM International Symposium on Wearable Computing</cTitle>: T1 <Title>Sandbox AI: We Don't Trust Each Other but Want to Create New Value Efficiently Through Collaboration Using Sensitive Data</Title>

UL https://suche.suub.uni-bremen.de/peid=acm-3610693&Exemplar=1&LAN=DE
				
A1 Saisho, Osamu
A1 Kashiwagi, Keiichiro
A1 Kawai, Sakiko
A1 Iwahana, Kazuki
A1 Mitani, Koki
PB ACM
YR 2023
K1 active learning
K1 confidential computing
K1 human-in-the-loop machine learning
K1 privacy-preserving data synthesis
K1 sandbox
K1 Security and privacy
K1 Human and societal aspects of security and privacy
K1 Usability in security and privacy
K1 Human-centered computing
K1 Ubiquitous and mobile computing
K1 Ubiquitous and mobile computing systems and tools
SP 68
OP 72
LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3594739.3610693
DO https://dl.acm.org/doi/10.1145/3594739.3610693
SF ELIB - SuUB Bremen

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