69 citations · 707 across the 60 of their papers we have counts for
10 papers · 1 filter
Fortress: Securing IoT Peripherals with Trusted Execution Environments
Peterson Yuhala, Jämes Ménétrey, Pascal Felber +2
With the increasing popularity of Internet of Things (IoT) devices, securing sensitive user data has emerged as a major challenge. These devices often collect confidential informat…
A Comprehensive Trusted Runtime for WebAssembly with Intel SGX
Jämes Ménétrey, Marcelo Pasin, Pascal Felber +4
In real-world scenarios, trusted execution environments (TEEs) frequently host applications that lack the trust of the infrastructure provider, as well as data owners who have spec…
A Holistic Approach for Trustworthy Distributed Systems with WebAssembly and TEEs
Jämes Ménétrey, Aeneas Grüter, Peterson Yuhala +4
Publish/subscribe systems play a key role in enabling communication between numerous devices in distributed and large-scale architectures. While widely adopted, securing such syste…
SecV: Secure Code Partitioning via Multi-Language Secure Values
Peterson Yuhala, Pascal Felber, Hugo Guiroux +4
Trusted execution environments like Intel SGX provide \emph{enclaves}, which offer strong security guarantees for applications. Running entire applications inside enclaves is possi…
Mitigating Adversarial Attacks in Federated Learning with Trusted Execution Environments
Simon Queyrut, Valerio Schiavoni, Pascal Felber
The main premise of federated learning (FL) is that machine learning model updates are computed locally to preserve user data privacy. This approach avoids by design user data to e…
Pelta: Shielding Transformers to Mitigate Evasion Attacks in Federated Learning
Simon Queyrut, Yérom-David Bromberg, Valerio Schiavoni
The main premise of federated learning is that machine learning model updates are computed locally, in particular to preserve user data privacy, as those never leave the perimeter…