The emergence of numerous consensus algorithms for distributed systems has resulted from
the swift advancement of blockchain and its related technologies. Consensus algorithms …

This paper presents the first critical analysis of building highly secure, performant, and
confidential Byzantine fault-tolerant (BFT) consensus by integrating off-the-shelf crash fault …

Public cloud platforms have leveraged Trusted Execution Environment (TEE) technology to
provide confidential computing services. However, TEE-protected applications still suffer …

We propose uBFT, the first State Machine Replication (SMR) system to achieve microsecond-
scale latency in data centers, while using only 2 f+ 1 replicas to tolerate f Byzantine failures …

As big data processing in the cloud becomes prevalent today, data privacy on such public
platforms raises critical concerns. Hardware-based trusted execution environments (TEEs) …

Trusted Execution Environments (TEEs) ensure the confidentiality and integrity of
computations in hardware. Subject to the TEE's threat model, the hardware shields a …

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

Statistical analytics on encrypted data requires a fully-homomorphic encryption (FHE)
scheme. However, heavy computation overheads make FHE impractical. In this paper we …

The adoption of wearable technologies, such as smartwatches or wristbands, is rising. End-
users expect to use all of their devices in an interconnected and seamless manner to …

The increasing prevalence of data breaches necessitates robust data protection measures
in computational tasks. Secure computation outsourcing (SCO) presents a viable solution by …