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researcher

Sergei Arnautov

4 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • middle author3

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CR3
  • cs.DC1

identity via Semantic Scholar / OpenAlex

activity
20192021
most citedsecureTF: A Secure TensorFlow Framework

37 citations · 86 across the 3 of their papers we have counts for

collaborators

4 papers

cs.CR2021★ 37 cited

secureTF: A Secure TensorFlow Framework

Do Le Quoc, Franz Gregor, Sergei Arnautov +3

Data-driven intelligent applications in modern online services have become ubiquitous. These applications are usually hosted in the untrusted cloud computing infrastructure. This p…

cs.CR2020

Trust Management as a Service: Enabling Trusted Execution in the Face of Byzantine Stakeholders

Franz Gregor, Wojciech Ozga, Sébastien Vaucher +7

Trust is arguably the most important challenge for critical services both deployed as well as accessed remotely over the network. These systems are exposed to a wide diversity of t…

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…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.