1 code implementation • WAHC 2022 – 10th Workshop on Encrypted Computing & Applied Homomorphic Cryptography 2022 • Ahmad Al Badawi, Andreea Alexandru, Jack Bates, Flavio Bergamaschi, David Bruce Cousins, Saroja Erabelli, Nicholas Genise, Shai Halevi, Hamish Hunt, Andrey Kim, Yongwoo Lee, Zeyu Liu, Daniele Micciancio, Carlo Pascoe, Yuriy Polyakov, Ian Quah, Saraswathy R.V., Kurt Rohloff, Jonathan Saylor, Dmitriy Suponitsky, Matthew Triplett, Vinod Vaikuntanathan, and Vincent Zucca
Fully Homomorphic Encryption (FHE) is a powerful cryptographic primitive that enables performing computations over encrypted data without having access to the secret key.
no code implementations • 19 Aug 2019 • Ahmad Al Badawi, Luong Hoang, Chan Fook Mun, Kim Laine, Khin Mi Mi Aung
In the second part, we show how to train a model using fully encrypted data to generate an encrypted model.
no code implementations • 2 Nov 2018 • Ahmad Al Badawi, Jin Chao, Jie Lin, Chan Fook Mun, Jun Jie Sim, Benjamin Hong Meng Tan, Xiao Nan, Khin Mi Mi Aung, Vijay Ramaseshan Chandrasekhar
In this paper, we show how to accelerate the performance of running CNNs on encrypted data with GPUs.