Fully Homomorphic Encryption (FHE) is a key technology enabling privacy-preserving
computing. However, the fundamental challenge of FHE is its inefficiency, due primarily to …

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 …

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 …

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

Homomorphic encryption (HE) is a type of cryptography that allows computations to be
performed on encrypted data. The technique relies on learning with errors problem, where …

Convolutional neural network (CNN) inference using fully homomorphic encryption (FHE) is
a promising private inference (PI) solution due to the capability of FHE that enables …

Cloud computing has made it easier for individuals and companies to get access to large
compute and memory resources. However, it has also raised privacy concerns about the …

Fully Homomorphic Encryption (FHE) has emerged as a promising technology for
processing encrypted data without the need for decryption. Despite its potential, its practical …

Processing-in-memory (PIM), where the compute is moved closer to the memory or the data,
has been widely explored to accelerate emerging workloads. Recently, different PIM-based …