Dubbed “the successor to the mobile Internet,” the concept of the Metaverse has grown in
popularity. While there exist lite versions of the Metaverse today, they are still far from …

Artificial intelligence (AI) shows potential to improve health care by leveraging data to build
models that can inform clinical workflows. However, access to large quantities of diverse …

Although machine learning (ML) has shown promise across disciplines, out-of-sample
generalizability is concerning. This is currently addressed by sharing multi-site data, but …

With the widespread use of large artificial intelligence (AI) models such as ChatGPT, AI-
generated content (AIGC) has garnered increasing attention and is leading a paradigm shift …

Machine learning (ML) applications are increasingly prevalent. Protecting the confidentiality
of ML models becomes paramount for two reasons:(a) a model can be a business …

Blockchain is a distributed and decentralized ledger for recording transactions. It is
maintained and shared among the participating nodes by utilizing cryptographic primitives …

Internet of Things (IoT) aims to create a vast network with billions of things that can
seamlessly create and exchange data, establishing intelligent interactions between people …

We present DarkneTZ, a framework that uses an edge device's Trusted Execution
Environment (TEE) in conjunction with model partitioning to limit the attack surface against …

The surging interest in blockchain technology has revitalized the search for effective
Byzantine consensus schemes. In particular, the blockchain community has been looking for …

ARM TrustZone is one of the most widely deployed security architecture providing Trusted
Execution Environments (TEEs). Unfortunately, its usage and potential benefits for …