Lattice-based cryptography forms the mathematical basis for current homomorphic
encryption schemes, which allows computation directly on encrypted data. Homomorphic …

Fully Homomorphic Encryption (FHE) enables the processing of encrypted data without
decrypting it. FHE has garnered significant attention over the past decade as it supports …

Secure transformer inference has emerged as a prominent research topic following the
proliferation of ChatGPT. Existing solutions are typically interactive, involving substantial …

Zero-knowledge proof is a critical cryptographic primitive. Its most practical type, called zero-
knowledge Succinct Non-interactive ARgument of Knowledge (zkSNARK), has been …

Fully Homomorphic Encryption (FHE) enables secure offloading of computations to
untrusted cloud servers as it allows computing on encrypted data. However, existing well …

Neural-network classification is getting more pervasive. It captures data of the subjects to be
classified, eg, appearance for facial recognition, which is personal and often sensitive …

Homomorphic Encryption (HE) enables users to securely outsource both the storage and
computation of sensitive data to untrusted servers. Not only does HE offer an attractive …

This article investigates the privacy issues in the distributed energy management system
(EMS) of smart distribution systems and microgirds. A novel private collaborative distributed …

Homomorphic Encryption (HE) has drawn significant attention as a privacy-preserving
approach for cloud computing because it allows computation on encrypted messages called …

Fully homomorphic encryption (FHE) is a powerful tool enabling secure outsourcing to
untrusted third-parties. As AI technologies mature and companies start offering AI-as-a …