Data confidentiality is a central concern in modern computer systems and services, as
sensitive data from users and companies are being increasingly delegated to such systems …

WebAssembly is an Increasingly popular lightweight binary instruction format, which can be
efficiently embedded and sandboxed. Languages like C, C++, Rust, Go, and many others …

Data-driven intelligent applications in modern online services have become ubiquitous.
These applications are usually hosted in the untrusted cloud computing infrastructure. This …

Today, a vast amount of sensitive data worth millions of dollars is processed in untrusted
data centers; hence, the confidentiality and integrity of the code and data are of paramount …

Many organizations own data but have limited machine learning expertise (data owners). On
the other hand, organizations that have expertise need data from diverse sources to train …

The growing interest in reliable multi-party applications has fostered widespread adoption of
Byzantine Fault-Tolerant (bft) consensus protocols. Existing bft protocols need f more …

Trusted Execution Environments (TEEs), such as Intel Software Guard eXtensions (SGX),
are considered as a promising approach to resolve security challenges in clouds. TEEs …

Confidential computing alleviates the concerns of distrustful customers by removing the
cloud provider from their trusted computing base and resolves their disincentive to migrate …

Recommenders are central in many applications today. The most effective recommendation
schemes, such as those based on collaborative filtering (CF), exploit similarities between …

Publish/subscribe systems play a key role in enabling communication between numerous
devices in distributed and large-scale architectures. While widely adopted, securing such …