Confidential Computing
Confidential Computing is a secure data processing paradigm that, within the broader class of confidentiality protocols, specifically enables computation on encrypted data in use by leveraging hardware-based trusted execution environments to protect data from unauthorized access during processing.
348
Publications
19.7K
Citations
1.3K
Authors
493
Institutions
Publications per year
2017–2026
153
348
Achieving Secure, Scalable, and Fine-grained Data Access Control in Cloud Computing
Shucheng Yu, Cong Wang, Kui Ren et al. · 2010 · 1.6K citations
Computing arbitrary functions of encrypted data
Craig Gentry · Communications of the ACM · 2010 · 656 citations
VC3: Trustworthy Data Analytics in the Cloud Using SGX
Félix Schuster, Manuel Costa, Cédric Fournet et al. · 2015 · 598 citations · Full text
1–5 of 348
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493
Massachusetts Institute of Technology
Cambridge, United States
8 h-index
24 publications
4.3K citations
Microsoft Research (United Kingdom)
Cambridge, United Kingdom
7 h-index
32 publications
7.1K citations
Stanford University
Stanford, United States
5 h-index
10 publications
1.3K citations

Cornell University
Ithaca, United States
5 h-index
15 publications
1.2K citations

Technische Universität Darmstadt
Darmstadt, Germany
4 h-index
8 publications
164 citations
Singapore Management University
Singapore, Singapore
4 h-index
7 publications
246 citations
Amity University
Noida, India
4 h-index
8 publications
139 citations
Microsoft (United States)
Redmond, United States
4 h-index
6 publications
129 citations
1–8 of 493
6 publications · 177 citations
6
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Repository · 6 publications · 134 citations
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5 publications · 330 citations
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TDSC · 5 publications · 137 citations
5
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4 publications · 96 citations
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