Federated learning (FL) is a machine learning setting where many clients (eg, mobile
devices or whole organizations) collaboratively train a model under the orchestration of a …

A Private Information Retrieval (PIR) scheme is a protocol in which a user retrieves a record
from a database while hiding which from the database administrators. PIR can be achieved …

Non-interactive publicly verifiable secret sharing (PVSS) schemes enables (re-) sharing of
secrets in a decentralized setting in the presence of malicious parties. A recently proposed …

This paper presents Checklist, a system for private blocklist lookups. In Checklist, a client
can determine whether a particular string appears on a server-held blocklist of strings …

Homomorphic encryption (HE) is often viewed as impractical, both in communication and
computation. Here we provide an additively homomorphic encryption scheme based on …

Many online services let users query public datasets such as maps, flight prices, or
restaurant reviews. Unfortunately, the queries to these services reveal highly sensitive …

PrivateFS is an oblivious file system that enables access to remote storage, while keeping
both the file contents and client access patterns secret. PrivateFS is based on a new parallel …

Location-based services (LBS) which bring so much convenience to our daily life have been
intensively studied over the years. Generally, an LBS query processing can be categorized …

To prevent credential stuffing attacks, industry best practice now proactively checks if user
credentials are present in known data breaches. Recently, some web services, such as …

We give a protocol for multi-server information-theoretic private information retrieval which
achieves the theoretical limit for Byzantine robustness. That is, the protocol can allow a client …