IoT devices provide users with great convenience in smart homes. However, the
interdependent behaviors across devices may yield unexpected interactions. To analyze the …

We propose GraphOS, a system that allows a client that owns a graph database to
outsource it to an untrusted server for storage and querying. It relies on doubly-oblivious …

We study the problem of random sampling in the secure multi-party computation (MPC)
model. In MPC, taking a sample securely must have a cost Ω (n) irrespective to the sample …

Existing oblivious systems offer robust security by concealing memory access patterns, but
they encounter significant scalability and performance challenges. Recent efforts to enhance …

Privacy-preserving federated graph analytics is an emerging area of research. The goal is to
run graph analytics queries over a set of devices that are organized as a graph while …

In the business scenarios at Ant Group, there is a rising demand for collaborative data
analysis among multiple institutions, which can promote health insurance, financial services …

Secure Multi-party Computation (MPC) provides a promising solution for privacy-preserving
multi-source data analytics. However, existing MPC-based collaborative analytics systems …

Data federation has emerged as a novel database system enabling collaborative queries
across mutually distrusted data owners. Federated equi-join, a commonly used operation in …

Serverless computing has received growing interest in recent years for supporting large-
scale machine learning tasks. However, training a machine learning model in a serverless …

Nearest neighbor search is a fundamental task in various domains, such as federated
learning, data mining, information retrieval, and biomedicine. With the increasing need to …