4 citations · 4 across the 3 of their papers we have counts for
4 papers
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…
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-…
ConRAD: Conformal Risk-Aware Neural Databases
Sonia Horchidan, Fabian Zeiher, Xiangyu Shi +4
Querying incomplete knowledge graphs with neural predictors is powerful but dangerous. Errors compound across multi-hop pipelines with no formal bound on the completeness of result…
Not All Neighbors Matter: Understanding the Impact of Graph Sparsification on GNN Pipelines
Yuhang Song, Naima Abrar Shami, Romaric Duvignau +1
As graphs scale to billions of nodes and edges, graph Machine Learning workloads are constrained by the cost of multi-hop traversals over exponentially growing neighborhoods. While…