Personal data are often collected and processed in a decentralized fashion, within different
contexts. For instance, with the emergence of distributed applications, several providers are …

The emergence of ubiquitous computing and different disruptive technologies caused
magnificent development in information and communication technology. Likewise …

Multi-Protocol SPDZ (MP-SPDZ) is a fork of SPDZ-2 (Keller et al., CCS'13), an
implementation of the multi-party computation (MPC) protocol called SPDZ (Damgård et al …

In recent years, along with the blooming of Machine Learning (ML)-based applications and
services, ensuring data privacy and security have become a critical obligation. ML-based …

Secure multi-party computation (MPC) allows a group of mutually distrustful parties to
compute a joint function on their inputs without revealing any information beyond the result …

Cloud computing security and data protection are becoming increasingly critical as its use
increases. The research we present demonstrates how undercover sharing techniques and …

A secret-sharing scheme is a method by which a dealer distributes shares to parties such
that only authorized subsets of parties can reconstruct the secret. Secret-sharing schemes …

In a data-driven society, individuals and companies encounter numerous situations where
private information is an important resource. How can parties handle confidential data if they …

Can you guarantee secrecy even if an adversary can eavesdrop on your brain? We consider
the problem of protecting privacy in c ircuits, when faced with an adversary that can access a …

In many important applications, a collection of mutually distrustful parties must perform
private computation over multisets. Each party's input to the function is his private input …