The rapidly growing scale and variety of biomedical data repositories raise important privacy
concerns. Conventional frameworks for collecting and sharing human subject data offer …

This paper introduces Nimble, a cloud service that helps applications running in trusted
execution environments (TEEs) to detect rollback attacks (ie, detect whether a data item …

Confidentiality, integrity protection, and high availability, abbreviated to CIA, are essential
properties for trustworthy data systems. The rise of cloud computing and the growing …

TEE-based smart contracts are an emerging blockchain architecture, offering fully
programmable privacy with better performance than alternatives like secure multiparty …

Remote Attestation (RA) enables the integrity and authenticity of applications in Trusted
Execution Environment (TEE) to be verified. Existing TEE RA designs employ a centralized …

We propose protected pipelines or props for short, a new approach for authenticated,
privacy-preserving access to deep-web data for machine learning (ML). By permitting secure …

The Android ecosystem relies on either TrustZone (eg, OP-TEE, QTEE, Trusty) or trusted
hypervisors (pKVM, Gunyah) to isolate security-sensitive services from malicious apps and …

Trusted Execution Environments (TEEs) are hardware enforced memory isolation units,
emerging as a pivotal security solution for security-critical applications. TEEs, like Intel SGX …

We discuss key management for cryptocurrencies from the perspective of security and risk
management. While we found many earlier research studies about the implementation and …

Many cryptographic protocols rely upon an initial\emph {trusted setup} to generate public
parameters. While the concept is decades old, trusted setups have gained prominence with …