News

Hiring Two Postdoctoral Researchers

July 24th, 2026in Hiring, News

We are hiring two postdoctoral researchers at Boston University to work at the intersection of systems and applied cryptography. 🔐 About the role We are building secure and scalable computing infrastructure using secure multiparty computation (MPC), fully homomorphic encryption (FHE), and trusted execution environments (TEEs). We seek candidates who combine strong foundations... More

Paper accepted at NSDI’27

July 24th, 2026in News, Publication

Our paper "Koala: Non-disruptive Reconfiguration for Long-running Stateful Dataflows" was just accepted at USENIX NSDI'27! Koala is a novel reconfiguration protocol for distributed dataflow systems that retains the operational performance of embedded-state architectures while matching the disruption-free adaptability of external-state designs. Unlike prior protocols which relocate all state regardless of whether... More

$1.2M NSF Award for Privacy-Preserving Cloud Analytics Testbed

July 21st, 2026in Award, Funding, News

PI Mayank Varia and co-PIs Vasiliki Kalavri and John Liagouris received 3-year, $1.2M award from the NSF Cybersecurity Innovation for Cyberinfrastructure (CICI) program! The project focuses on developing an open-source software platform to enable the deployment of privacy-preserving scientific workflows across both open and commercial cloud infrastructures. To achieve this, the... More

Papers accepted at VLDB’26 and SOSP’26

July 6th, 2026in News, Publication

The paper “CryptDough: A unified analytics engine for secure multiparty computation” by Muhammad Faisal, Alessandra Lanz, Sam Buxbaum, Adam Godel, Vasiliki Kalavri, Mayank Varia, and John Liagouris will appear at SOSP’26. The paper “ConRAD: Conformal Risk-Aware Neural Databases” by Sonia Horchidan, Fabian Zeiher, Xiangyu Shi, Vasiliki Kalavri, Henrik Boström, More

New research award from i-Scale

June 1st, 2026in Funding, News, Research

We have received an i-Scale award for the project Streaming GNN Inference for Real-time Anomaly Detection on Microservice Graphs. The project will explore leveraging Graph Neural Networks to enhance security monitoring for cloud-native microservice environments. Many thanks to the i-Scale Industry Advisory Board!