activity
20162022
most citedsecureTF: A Secure TensorFlow Framework

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

collaborators
Showing 2019Show all

5 papers · 1 filter

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.CR2019

Building Critical Applications using Microservices

Christof Fetzer

Microservices - combined with secure containers - facilitate new ways to build critical applications. These applications will benefit from many tools and services built for less cr…

cs.CR2019

SpecFuzz: Bringing Spectre-type vulnerabilities to the surface

Oleksii Oleksenko, Bohdan Trach, Mark Silberstein +1

SpecFuzz is the first tool that enables dynamic testing for speculative execution vulnerabilities (e.g., Spectre). The key is a novel concept of speculation exposure: The program i…

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.CR201935 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…