Secure statistical analysis on multiple datasets: Join and group-by
We implement a secure platform for statistical analysis over multiple organizations and
multiple datasets. We provide a suite of protocols for different variants of JOIN and GROUP …
multiple datasets. We provide a suite of protocols for different variants of JOIN and GROUP …
Secure Parallel Computation with Oblivious State Transitions
N Attrapadung, K Isayama, K Sadakane… - Proceedings of the 2024 …, 2024 - dl.acm.org
We introduce Oblivious Parallel Stateful Computation (OPSC), a form of secure multi-party
computation (MPC) tailored for stateful machine computation models emphasizing parallel …
computation (MPC) tailored for stateful machine computation models emphasizing parallel …
CoGNN: Towards Secure and Efficient Collaborative Graph Learning
Collaborative graph learning represents a learning paradigm where multiple parties jointly
train a graph neural network (GNN) using their own proprietary graph data. To honor the …
train a graph neural network (GNN) using their own proprietary graph data. To honor the …
Efficient Privacy Preserving Range Query Using Segment Tree
S Shirotake, K Shimizu - 2024 58th Annual Conference on …, 2024 - ieeexplore.ieee.org
The range query is a problem to compute a function on a subset of a given data and is used
in various real-world setting such that the user inputs a range, and the server computes the …
in various real-world setting such that the user inputs a range, and the server computes the …