activity
20122026
most citedgraphVizdb: A Scalable Platform for Interactive Large Graph Visualization

41 citations · 46 across the 7 of their papers we have counts for

collaborators

8 papers

cs.CR2026

CryptDough: A Unified Analytics Engine for Secure Multiparty Computation

Muhammad Faisal, Alessandra Lanz, Sam Buxbaum +4

We present CryptDough, a unified analytics engine for secure multiparty computation (MPC). CryptDough enables multiple distrusting parties to jointly execute a data analysis pipeli…

cs.CR2025★ 5 cited

ORQ: Complex Analytics on Private Data with Strong Security Guarantees

Eli Baum, Sam Buxbaum, Nitin Mathai +4

We present ORQ, a system that enables collaborative analysis of large private datasets using cryptographically secure multi-party computation (MPC). ORQ protects data against semi-…

cs.DB2021

Secrecy: Secure collaborative analytics on secret-shared data

John Liagouris, Vasiliki Kalavri, Muhammad Faisal +1

We present a relational MPC framework for secure collaborative analytics on private data with no information leakage. Our work targets challenging use cases where data owners may n…

cs.DC2018

Megaphone: Latency-conscious state migration for distributed streaming dataflows

Moritz Hoffmann, Andrea Lattuada, Frank McSherry +3

We design and implement Megaphone, a data migration mechanism for stateful distributed dataflow engines with latency objectives. When compared to existing migration mechanisms, Meg…

cs.NI2018

DeltaPath: dataflow-based high-performance incremental routing

Desislava Dimitrova, John Liagouris, Sebastian Wicki +3

Routing controllers must react quickly to failures, reconfigurations and workload or policy changes, to ensure service performance and cost-efficient network operation. We propose…

cs.HC2016★ 41 cited

graphVizdb: A Scalable Platform for Interactive Large Graph Visualization

Nikos Bikakis, John Liagouris, Maria Krommyda +2

We present a novel platform for the interactive visualization of very large graphs. The platform enables the user to interact with the visualized graph in a way that is very simila…