activity
20162022
most citedsecureTF: A Secure TensorFlow Framework

37 citations · 134 across the 16 of their papers we have counts for

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10 papers · 1 filter

cs.DC20212 cited

T-Lease: A Trusted Lease Primitive for Distributed Systems

Bohdan Trach, Rasha Faqeh, Oleksii Oleksenko +3

A lease is an important primitive for building distributed protocols, and it is ubiquitously employed in distributed systems. However, the scope of the classic lease abstraction is…

cs.DC20192 cited

LEGaTO: Low-Energy, Secure, and Resilient Toolset for Heterogeneous Computing

B. Salami, K. Parasyris, A. Cristal +42

The LEGaTO project leverages task-based programming models to provide a software ecosystem for Made in-Europe heterogeneous hardware composed of CPUs, GPUs, FPGAs and dataflow engi…

cs.DC201914 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.DC2018

Approximate Distributed Joins in Apache Spark

Do Le Quoc, Istemi Ekin Akkus, Pramod Bhatotia +4

The join operation is a fundamental building block of parallel data processing. Unfortunately, it is very resource-intensive to compute an equi-join across massive datasets. The ap…

cs.DC2018

SecureCloud: Secure Big Data Processing in Untrusted Clouds

Florian Kelbert, Franz Gregor, Rafael Pires +7

We present the SecureCloud EU Horizon 2020 project, whose goal is to enable new big data applications that use sensitive data in the cloud without compromising data security and pr…

cs.DC2018

SGX-Aware Container Orchestration for Heterogeneous Clusters

Sébastien Vaucher, Rafael Pires, Pascal Felber +3

Containers are becoming the de facto standard to package and deploy applications and micro-services in the cloud. Several cloud providers (e.g., Amazon, Google, Microsoft) begin to…