ChatGPT is recognized as a significant revolution in the field of artificial intelligence, but it
raises serious concerns regarding user privacy, as the data submitted by users may contain …

We present a three-party sorting protocol secure against passive and active adversaries in
the honest majority setting. The protocol can be easily combined with other secure protocols …

With the widespread adoption of cloud computing, it is increasingly popular for online social
network (OSN) service providers to leverage the public cloud as a back-end to manage their …

Secure multiparty computation (MPC) enables privacy-preserving collaborative computation
over sensitive data held by multiple mutually distrusting parties. Unfortunately, in the most …

We present TVA, a multi-party computation (MPC) system for secure analytics on secret-
shared time series data. TVA achieves strong security guarantees in the semi-honest and …

Private heavy-hitters is a data-collection task where multiple clients possess private bit
strings, and data-collection servers aim to identify the most popular strings without learning …

In recent years there has been growing popularity of leveraging cloud computing for storing
and querying attributed graphs, which have been widely used to model complex structured …

Graphs are widely used to model the complex relationships among entities. As a powerful
tool for graph analytics, graph neural networks (GNNs) have recently gained wide attention …

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 …

Analytics over social graphs allows to extract valuable knowledge and insights for many
fields like community detection, fraud detection, and interest mining. In practice …