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cs.CR2025
TFHE-SBC: Software Designs for Fully Homomorphic Encryption over the Torus on Single Board Computers
Marin Matsumoto, Ai Nozaki, Hideki Takase +1
Fully homomorphic encryption (FHE) is a technique that enables statistical processing and machine learning while protecting data, including sensitive information collected by singl…
cs.CR2022
Measuring Lower Bounds of Local Differential Privacy via Adversary Instantiations in Federated Learning
Marin Matsumoto, Tsubasa Takahashi, Seng Pei Liew +1
Local differential privacy (LDP) gives a strong privacy guarantee to be used in a distributed setting like federated learning (FL). LDP mechanisms in FL protect a client's gradient…