2 papers
cs.AR2025
SCE-NTT: A Hardware Accelerator for Number Theoretic Transform Using Superconductor Electronics
Sasan Razmkhah, Mingye Li, Zeming Cheng +13
This research explores the use of superconductor electronics (SCE) for accelerating fully homomorphic encryption (FHE), focusing on the Number-Theoretic Transform (NTT), a key comp…
cs.LG2020
Highly Accurate CNN Inference Using Approximate Activation Functions over Homomorphic Encryption
Takumi Ishiyama, Takuya Suzuki, Hayato Yamana
In the big data era, cloud-based machine learning as a service (MLaaS) has attracted considerable attention. However, when handling sensitive data, such as financial and medical da…