37 citations · 97 across the 6 of their papers we have counts for
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cs.DC2019★ 14 cited
PubSub-SGX: Exploiting Trusted Execution Environments for Privacy-Preserving Publish/Subscribe Systems
Sergei Arnautov, Andrey Brito, Pascal Felber +9
This paper presents PUBSUB-SGX, a content-based publish-subscribe system that exploits trusted execution environments (TEEs), such as Intel SGX, to guarantee confidentiality and in…
cs.CR2019★ 35 cited
TensorSCONE: A Secure TensorFlow Framework using Intel SGX
Roland Kunkel, Do Le Quoc, Franz Gregor +3
Machine learning has become a critical component of modern data-driven online services. Typically, the training phase of machine learning techniques requires to process large-scale…