The advancement of biometric technology has facilitated wide applications of biometrics in
law enforcement, border control, healthcare and financial identification and verification …

Fully Homomorphic Encryption (FHE) enables offloading computation to untrusted servers
with cryptographic privacy. Despite its attractive security, FHE is not yet widely adopted due …

The Number Theoretic Transform (NTT) is a powerful mathematical tool that has become
increasingly important in developing Post Quantum Cryptography (PQC) and Homomorphic …

Data privacy concerns are increasing significantly in the context of the Internet of Things,
cloud services, edge computing, artificial intelligence applications, and other applications …

Fully Homomorphic Encryption (FHE) allows a third party to perform arbitrary computations
on encrypted data, learning neither the inputs nor the computation results. Hence, it provides …

In the cloud computing era, privacy protection is becoming pervasive in a broad range of
applications (eg, machine learning, data mining, etc). Fully Homomorphic Encryption (FHE) …

With the development of the important solution for privacy computing, the explosion of data
size and computing intensity in Fully Homomorphic Encryption (FHE) has brought enormous …

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 computing on encrypted data, letting clients
securely offload computation to untrusted servers. While enticing, FHE has two key …

Homomorphic Encryption (HE) is a cryptosytem that allows us to perform an arbitrary
computation on encrypted data. The standard HE, however, has a disadvantage in that the …