Homomorphic Encryption (HE) is one of the most promising post-quantum cryptographic
schemes that enable privacy-preserving computation on servers. However, noise …

Fully homomorphic encryption (FHE) is an emerging cryptographic technology that
guarantees the privacy of sensitive user data by enabling direct computations on encrypted …

Modern implementations of homomorphic encryption (HE) rely heavily on polynomial
arithmetic over a finite field. This is particularly true of the BGV, BFV, and CKKS HE …

Fully Homomorphic Encryption over the Torus (TFHE) allows arbitrary computations to
happen directly on ciphertexts using homomorphic logic gates. However, each TFHE gate …

Privacy-preserving deep learning with homomorphic encryption (HE) is a novel and
promising research area aimed at designing deep learning solutions that operate while …

This article presents an overview of the literature on privacy protection in smart meters with a
particular focus on homomorphic encryption (HE). Firstly, we introduce the concept of smart …

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

The increasing amount of data and the growing complexity of problems have resulted in an
ever-growing reliance on cloud computing. However, many applications, most notably in …

Privacy and security have rapidly emerged as priorities in system design. One powerful
solution for providing both is privacy-preserving computation, where functions are computed …

Fully Homomorphic Encryption over the Torus (TFHE) is a promising approach for secure
computing in cloud servers to perform computations directly on encrypted data. However …