Many online social network (OSN) users are unaware of the numerous security risks that
exist in these networks, including privacy violations, identity theft, and sexual harassment …

Online Social Networks (OSNs) are becoming a popular method of meeting people and
kee** in touch with friends. OSNs resort to trust evaluation models and algorithms to …

In this paper we explore the importance of platform governance. We discuss various
problems of centralized architecture in the context of the metaverse or sharing economy …

Federated learning over distributed multi-party data is an emerging paradigm that iteratively
aggregates updates from a group of devices to train a globally shared model. Relying on a …

Machine learning (ML) over distributed multi-party data is required for a variety of domains.
Existing approaches, such as federated learning, collect the outputs computed by a group of …

Central banks around the world are exploring and in some cases even piloting Central Bank
Digital Currencies (CBDCs). CBDCs promise to realize a broad range of new capabilities …

Given a bipartite graph of users and the products that they review, or followers and
followees, how can we detect fake reviews or follows? Existing fraud detection methods …

The emerging Internet-of-Things (IoT) are vulnerable to Sybil attacks where attackers can
manipulate fake identities or abuse pseudoidentities to compromise the effectiveness of the …

TrustChain is capable of creating trusted transactions among strangers without central
control. This enables new areas of blockchain use with a focus on building trust between …

Users increasingly rely on the trustworthiness of the information exposed on Online Social
Networks (OSNs). In addition, OSN providers base their business models on the …