Verifiable Secret-Sharing (VSS) is a fundamental primitive in secure distributed computing. It
is used as a building block in several distributed computing tasks, such as Byzantine …

Machine learning has started to be deployed in fields such as healthcare and finance, which
propelled the need for and growth of privacy-preserving machine learning (PPML). We …

Machine learning tools have illustrated their potential in many significant sectors such as
healthcare and finance, to aide in deriving useful inferences. The sensitive and confidential …

Asynchronous common subset (ACS) is a powerful paradigm enabling applications such as
Byzantine fault-tolerance (BFT) and multi-party computation (MPC). The most efficient ACS …

In the ever-evolving landscape of cybersecurity, the proliferation of artificial intelligence (AI)
technologies introduces both promising advancements and daunting challenges. This paper …

In this paper, we present the first Asynchronous Distributed Key Generation (ADKG)
algorithm which is also the first distributed key generation algorithm that can generate …

The concrete efficiency of secure computation has been the focus of many recent works. In
this work, we present concretely-efficient protocols for secure 3-party computation (3PC) …

The classic asynchronous Byzantine fault tolerance (BFT) framework of Ben-Or, Kemler, and
Rabin (BKR) and its descendants rely on reliable broadcast (RBC) and asynchronous binary …

Multiparty computation as a service (MPSaaS) is a promising approach for building privacy-
preserving communication systems. However, in this paper, we argue that existing MPC …

We present new protocols for threshold Schnorr signatures that work in an asynchronous
communication setting, providing robustness and optimal resilience. These protocols …