activity
20202026
most citedA Holistic Approach for Trustworthy Distributed Systems with WebAssembly and TEEs

34 citations · 60 across the 12 of their papers we have counts for

collaborators

14 papers

cs.CR2026

Empirical Analysis of TEE-Enabled Rollup Designs

Claudiu-Nicu Bărbieru, Corentin Libert, Peterson Yuhala +7

Layer 2 (L2) rollups have become the dominant scaling solution in Ethereum. At the core of these systems lies the rollup sequencer, a component that orders, executes, and submits L…

cs.ET2026

PIM-CACHE: High-Efficiency Content-Aware Copy for Processing-In-Memory

Peterson Yuhala, Mpoki Mwaisela, Pascal Felber +1

Processing-in-memory (PIM) architectures bring computation closer to data, reducing the processor-memory transfer bottleneck in traditional processor-centric designs. Novel hardwar…

cs.CR2026

DRAMatic Speedup: Accelerating HE Operations on a Processing-in-Memory System

Niklas Klinger, Jonas Sander, Peterson Yuhala +2

Homomorphic encryption (HE) is a promising technology for confidential cloud computing, as it allows computations on encrypted data. However, HE is computationally expensive and of…

cs.DC2025

IM-PIR: In-Memory Private Information Retrieval

Mpoki Mwaisela, Peterson Yuhala, Pascal Felber +1

Private information retrieval (PIR) is a cryptographic primitive that allows a client to securely query one or multiple servers without revealing their specific interests. In spite…

cs.CR2025

Practical Secure Aggregation by Combining Cryptography and Trusted Execution Environments

Romain de Laage, Peterson Yuhala, François-Xavier Wicht +3

Secure aggregation enables a group of mutually distrustful parties, each holding private inputs, to collaboratively compute an aggregate value while preserving the privacy of their…

cs.CR2024

Evaluating the Potential of In-Memory Processing to Accelerate Homomorphic Encryption

Mpoki Mwaisela, Joel Hari, Peterson Yuhala +3

The widespread adoption of cloud-based solutions introduces privacy and security concerns. Techniques such as homomorphic encryption (HE) mitigate this problem by allowing computat…

cs.CR2023★ 6 cited

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…

cs.CR2023★ 34 cited

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…

cs.CR2023★ 6 cited

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…

cs.CR2023

Enhancing IoT Security and Privacy with Trusted Execution Environments and Machine Learning

Peterson Yuhala

With the increasing popularity of Internet of Things (IoT) devices, security concerns have become a major challenge: confidential information is constantly being transmitted (somet…

cs.CR2023★ 14 cited

Montsalvat: Partitioning Java Applications to Minimize the TCB in Intel SGX

Peterson Yuhala, Jämes Ménétrey, Pascal Felber +5

The popularity of the Java programming language has led to its wide adoption in cloud computing infrastructures. However, Java applications running in untrusted clouds are vulnerab…

cs.CR2023

SGX Switchless Calls Made Configless

Peterson Yuhala, Michael Paper, Timothée Zerbib +3

Intel's software guard extensions (SGX) provide hardware enclaves to guarantee confidentiality and integrity for sensitive code and data. However, systems leveraging such security…

cs.CR2021

Plinius: Secure and Persistent Machine Learning Model Training

Peterson Yuhala, Pascal Felber, Valerio Schiavoni +1

With the increasing popularity of cloud based machine learning (ML) techniques there comes a need for privacy and integrity guarantees for ML data. In addition, the significant sca…

cs.OS2020

Memory virtualization in virtualized systems: segmentation is better than paging

Boris Teabe, Peterson Yuhala, Alain Tchana +3

The utilization of paging for virtual machine (VM) memory management is the root cause of memory virtualization overhead. This paper shows that paging is not necessary in the hyper…