A GPU Microarchitecture Optimized for Fully Homomorphic Encryption


Researchers from Boston University, Northeastern University, KAIST, and University of Murcia, et al. have released “FHECore: Rethinking GPU Microarchitecture for Fully Homomorphic Encryption”. Abstract“Fully Homomorphic Encryption (FHE) enables computation directly on encrypted data but incurs massive computational and memory overheads, often exceeding plaintext execution by seve... » read more

Comprehensive Performance Study of Zero-Knowledge Proofs on GPUs (Univ. of Michigan)


A new technical paper titled "ZKProphet: Understanding Performance of Zero-Knowledge Proofs on GPUs" was published by researchers at University of Michigan. Abstract "Zero-Knowledge Proofs (ZKP) are protocols which construct cryptographic proofs to demonstrate knowledge of a secret input in a computation without revealing any information about the secret. ZKPs enable novel applications in p... » read more

A Chiplet-Based Fully Homomorphic Encryption Accelerator


A technical paper titled “CiFHER: A Chiplet-Based FHE Accelerator with a Resizable Structure” was published by researchers at Seoul National University. Abstract: "Fully homomorphic encryption (FHE) is in the spotlight as a definitive solution for privacy, but the high computational overhead of FHE poses a challenge to its practical adoption. Although prior studies have attempted to desig... » read more

A Hardware Accelerator Designed For The Homomorphic SEAL-Embedded Library


A technical paper titled "VLSI Design and FPGA Implementation of an NTT Hardware Accelerator for Homomorphic SEAL-Embedded Library" was published by researchers at University of Pisa. Abstract: "Homomorphic Encryption (HE) allows performing specific algebraic computations on encrypted data without the need for decryption. For this reason, HE is emerging as a strong privacy-preserving solution... » read more