37 citations · 91 across the 5 of their papers we have counts for
7 papers
Synergia: Hardening High-Assurance Security Systems with Confidential and Trusted Computing
Wojciech Ozga, Rasha Faqeh, Do Le Quoc +3
High-assurance security systems require strong isolation from the untrusted world to protect the security-sensitive or privacy-sensitive data they process. Existing regulations imp…
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…
TEEMon: A continuous performance monitoring framework for TEEs
Robert Krahn, Donald Dragoti, Franz Gregor +6
Trusted Execution Environments (TEEs), such as Intel Software Guard eXtensions (SGX), are considered as a promising approach to resolve security challenges in clouds. TEEs protect…
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…
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…
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…